Jaime Santos Cardoso (6017-2B87-B242)

Curriculum Vitae

Jaime Santos Cardoso

Jaime S. Cardoso received his B.S. degree in Electrical and Computer Engineering in 1999, his MSc in Mathematical Engineering in 2005, and his Ph.D. in Computer Vision in 2006, all from the University of Porto. Cardoso is a Full Professor at the Faculty of Engineering of the University of Porto and a Researcher at INESC TEC. From 2012 to 2015, Cardoso served as President of the Portuguese Association for Pattern Recognition, affiliated with the IAPR. Cardoso is also a Senior Member of IEEE since 2011. Cardoso serves regularly as a project evaluator for the European Commission. His research can be summed up in three major topics: computer vision, machine learning and decision support systems. Image and video processing focuses on medicine and biometrics. The work on machine learning cares mostly with the adaptation of learning to the challenging conditions presented by visual data, with a focus on deep learning and explainable machine learning. The particular emphasis of the work in decision support systems goes to medical applications, always anchored on the automatic analysis of visual data. Cardoso has co-authored 300+ papers, 120+ of which in international journals, which attracted 10000+ citations, according to google scholar. Cardoso has been the recipient of numerous awards, and has been regularly included in the list of World Ranking of Top 2% Scientists by Stanford University.

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Identification

Personal identification

Full name: Jaime Santos Cardoso

Citation names

Cardoso, Jaime
Jaime S. Cardoso

Author identifiers

Ciência ID: 6017-2B87-B242
ORCID iD: 0000-0002-3760-2473
Google Scholar ID: https://scholar.google.com/citations?user=fadRi1YAAAAJ
Scopus Author Id: 9245302400

Email addresses

jaime.cardoso@fe.up.pt (Professional)
jaime.cardoso@inescporto.pt (Professional)

Websites

https://web.fe.up.pt/~jsc/ (Personal)
https://scholar.google.com/citations?user=fadRi1YAAAAJ (Scholar)

Knowledge fields

Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Electrical and Electronic Engineering

Languages

Language	Speaking	Reading	Writing	Listening	Peer-review
Portuguese (Mother tongue)
English	Advanced (C1)	Proficiency (C2)	Proficiency (C2)	Advanced (C1)	Proficiency (C2)

Education

	Degree	Classification
2006/05 Concluded	Engenharia Electrotécnica e de Computadores (Doutoramento) Major in Sem especialidade Universidade do Porto Faculdade de Engenharia, Portugal "Metadata Assisted Image Segmentation" (THESIS/DISSERTATION)
2006 Concluded	Engenharia Electrotécnica e de Computadores (Doutoramento) Major in Não Aplicável Universidade do Porto Faculdade de Engenharia, Portugal
2005 Concluded	Engenharia Matemática (Mestrado) Major in Não Aplicável Universidade do Porto Faculdade de Ciências, Portugal
1999 Concluded	Engenharia Electrotécnica e de Computadores (Licenciatura) Major in Sistemas de Telecomunicações Electrónica e Computadores Universidade do Porto Faculdade de Engenharia, Portugal

Affiliation

Science

	Category Host institution	Employer
1999 - Current	Researcher (Research)	Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Teaching in Higher Education

	Category Host institution	Employer
2020/11 - Current	Full Professor (University Teacher)	Universidade do Porto, Portugal
	Universidade do Porto Faculdade de Engenharia, Portugal
2015/04 - 2020/11	Associate Professor (University Teacher)	Universidade do Porto, Portugal

2016 - 2019	Associate Professor (University Teacher)	Universidade do Porto, Portugal

2015 - 2016	Associate Professor (University Teacher)	Universidade do Porto Faculdade de Engenharia, Portugal

2013 - 2015	Assistant Professor (University Teacher)	Universidade do Porto Faculdade de Engenharia, Portugal

2013 - 2015	Assistant Professor (University Teacher)	Universidade do Porto Faculdade de Engenharia, Portugal

2013 - 2015	Assistant Professor (University Teacher)	Universidade do Porto Faculdade de Engenharia, Portugal

Projects

Grant

	Designation	Funders
2018/07/01 - Current	CLARE - Computer Aided Cervical Cancer Screening POCI-01-0145-FEDER-028857 Principal investigator Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal	Associação para a Inovação e Desenvolvimento da FCT Ongoing
2020/04/01 - 2023/03/31	TAMI - Transparent Artificial Medical Intelligence NORTE-01-0247-FEDER-045905 Principal investigator Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal	Fundação para a Ciência e a Tecnologia European Regional Development Fund Ongoing
2021/10/19 - 2022/10/18	THEIA Project POCI-01-0247-FEDER-047264 Universidade do Porto Faculdade de Engenharia, Portugal	European Regional Development Fund Ongoing
2018/10/01 - 2021	AUTOMOTIVE - AUTOmatic multiMOdal drowsiness detecTIon for smart VEhicles 30707 Research Fellow	Associação para a Inovação e Desenvolvimento da FCT Ongoing
2013 - 2016	PICTURE - Patient Information Combined for the Assessment of Specific Surgical Outcomes in Breast cancer FP7600948 FP7¿600948 Principal investigator	N/A Concluded
2013 - 2015	(Módulos Automáticos de Auxílio ao Rastreio e Diagnóstico do Cancro da Mama Integrados em Sistemas PACS 33928 Principal investigator	Concluded
2012 - 2014	SARA project : Sistema de Gestão de Activos de Redes Rodoviárias Compete_078_26-01-2012 Research Fellow	Concluded
2011 - 2014	POLARIS FP7-REGPOT-2012-2013-1 Research Fellow	Concluded
2011 - 2014	3d BCT : 3D Models for Aesthetic Evaluation and Prediction of Breast Cancer Interventions PTDC/SAU-ENB/114951/2009 PTDC/SAU-ENB/114951/2009 Principal investigator	N/A Concluded
2010 - 2014	NeTS - Next Generation Network Operations and Management CMU-PT/RNQ/0029/2009 Research Fellow	Concluded
2009 - 2011	Semantic PACS - Picture Archiving and Communication System with Semantic Search Engine 003472 Principal investigator	Concluded
2007 - 2010	OMR - Optical Recognition System for Handwritten Music Scores PTDC/EIA/71225/2006 Principal investigator
2007 - 2010	BCCT - Advanced Objective Method for the Evaluation of the Aesthetical Result of Breast Interventions PTDC/EIA/64914/2006 Principal investigator	Concluded
2002/02/01 - 2006/01/31	COMPRESSÃO ASSISTIDA POR METADATA SFRH/BD/7110/2001 Universidade do Porto Faculdade de Engenharia, Portugal	Fundação para a Ciência e a Tecnologia Concluded

Contract

	Designation	Funders
2021/01/01 - 2025/12/31	INESC TEC - Institute for Systems and Computer Engineering, Technology and Science (INESC TEC) LA/P/0063/2020 10.54499/LA/P/0063/2020 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal	Fundação para a Ciência e a Tecnologia Ongoing
2021/11 - 2024/12	Centre of Mathematics of the University of Porto UIDP/00144/2020 10.54499/UIDP/00144/2020 Universidade do Porto Centro de Matemática, Portugal Universidade do Porto Faculdade de Ciências, Portugal	Fundação para a Ciência e a Tecnologia Concluded
2023/02/01 - 2024/07/31	Causality-driven Generative Models for Privacy-preserving Case-based Explanations 2022.10486.PTDC Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal	Fundação para a Ciência e a Tecnologia Ongoing
2018/07/01 - 2021/12/31	Computer-Aided Cervical Cancer Screening PTDC/EMD-EMD/28857/2017 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal Associação Fraunhofer Portugal Research, Portugal	Fundação para a Ciência e a Tecnologia Concluded
2018/07/01 - 2021/12/31	Computer-Aided Cervical Cancer Screening PTDC/EMD-EMD/28857/2017 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal Associação Fraunhofer Portugal Research, Portugal	Fundação para a Ciência e a Tecnologia Concluded
2018/10/01 - 2021/11/30	AUTOmatic multiMOdal drowsiness detecTIon for smart VEhicles PTDC/EEI-EEE/30707/2017 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal Instituto Politécnico de Lisboa Instituto Superior de Engenharia de Lisboa, Portugal	Fundação para a Ciência e a Tecnologia Concluded
2018/10/01 - 2021/11/30	AUTOmatic multiMOdal drowsiness detecTIon for smart VEhicles PTDC/EEI-EEE/30707/2017 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal Instituto Politécnico de Lisboa Instituto Superior de Engenharia de Lisboa, Portugal	Fundação para a Ciência e a Tecnologia Concluded
2019/01/01 - 2019/12/31	Centre for Mathematics of the University of Porto UID/MAT/00144/2019 Universidade do Porto Centro de Matemática, Portugal Universidade do Porto Faculdade de Ciências, Portugal	Fundação para a Ciência e a Tecnologia Concluded
2019/01/01 - 2019/12/31	INESC TEC - INESC Technology and Science UID/EEA/50014/2019 Instituto de Engenharia de Sistemas e Computadores, Portugal Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal	Fundação para a Ciência e a Tecnologia Concluded
2019/01/01 - 2019/12/31	INESC TEC - INESC Tecnologia e Ciência INESC TEC Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal Instituto de Engenharia de Sistemas e Computadores, Portugal	Fundação para a Ciência e a Tecnologia Concluded
2013/01/01 - 2014/12/31	Projecto Estratégico - LA 14 - 2013-2014 PEst-C/EEI/LA0014/2013 Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal Instituto de Engenharia de Sistemas e Computadores, Portugal Instituto de Engenharia Mecânica, Portugal Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal	Fundação para a Ciência e a Tecnologia Concluded
2011/06/01 - 2014/08/31	3d BCT - 3D Models for Aesthetic Evaluation and Prediction of Breast Cancer Interventions PTDC/SAU-ENB/114951/2009 Instituto de Engenharia de Sistemas e Computadores, Portugal Universidade do Porto Faculdade de Medicina, Portugal	Fundação para a Ciência e a Tecnologia Concluded
2011/01/01 - 2012/12/31	Strategic Project - LA 14 - 2011-2012 PEst-C/EEI/LA0014/2011 Instituto de Engenharia Mecânica, Portugal Instituto de Engenharia de Sistemas e Computadores, Portugal Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal	Fundação para a Ciência e a Tecnologia Concluded
2007/10/16 - 2010/12/31	Advanced objective method for the evaluation of the aesthetical result of breast interventions PTDC/EIA/64914/2006 Instituto de Engenharia de Sistemas e Computadores, Portugal Universidade do Porto Faculdade de Medicina, Portugal	Fundação para a Ciência e a Tecnologia Concluded
2007/10/16 - 2010/10/15	Optical recognition system for handwritten music scores PTDC/EIA/71225/2006 Instituto de Engenharia de Sistemas e Computadores, Portugal Instituto Politécnico do Porto, Portugal Instituto Politecnico do Porto Escola Superior de Música e das Artes do Espectáculo, Portugal	Fundação para a Ciência e a Tecnologia Concluded
2002/02/01 - 2006/01/31	COMPRESSÃO ASSISTIDA POR METADATA SFRH/BD/7110/2001	Fundação para a Ciência e a Tecnologia Concluded

Other

	Designation	Funders
2022/01/01 - Current	New Space Portugal 02/C05-i01.01/2022.PC644936537-00000046 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal	European Union Ongoing
2015/07/01 - Current	NanoSTIMA - RL5 : Macro-to-Nano Human Sensing: Towards Integrated Multimodal Health Monitoring and Analytics NORTE-01-0145-FEDER-000016

Outputs

Publications

Book	Adonias, A.F.; Ferreira-Gomes, J.; Alonso, R.; Neto, F.; Cardoso, J.S.. Towards Automatic Rat’s Gait Analysis Under Suboptimal Illumination Conditions. 2019. 10.1007/978-3-030-31321-0_22 Carneiro, G.; Tavares, J.M.R.S.; Bradley, A.; Papa, J.P.; Nascimento, J.C.; Cardoso, J.S.; Belagiannis, V.; Lu, Z.. Preface DLMIA 2017. 2017. Eiben, B.; Lacher, R.; Vavourakis, V.; Hipwell, J.H.; Stoyanov, D.; Williams, N.R.; Sabczynski, J.; et al. Breast conserving surgery outcome prediction: A patient-specific, integrated multi-modal imaging and mechano-biological modelling framework. 2016. 10.1007/978-3-319-41546-8_35 Freitas, T.; Alves, P.G.; Carpinteiro, C.; Rodrigues, J.; Fernandes, M.; Castro, M.; Monteiro, J.C.; Cardoso, J.S.. A comparative analysis of deep and shallow features for multimodal face recognition in a novel RGB-D-IR dataset. 2016. 10.1007/978-3-319-50835-1_72 Carneiro, G.; Tavares, J.M.R.S.; Bradley, A.; Papa, J.P.; Nascimento, J.C.; Cardoso, J.S.; Belagiannis, V.; Lu, Z.. Preface: DLMIA 2016. 2016. Zolfagharnasab, H.; Cardoso, J.S.; Oliveira, H.P.. Fitting of breast data using free form deformation technique. 2016. 10.1007/978-3-319-41501-7_68 Khoshrou, S.; Cardoso, J.S.; Granger, E.; Teixeira, L.F.. Spatio-temporal fusion for learning of regions of interests over multiple video streams. 2015. 10.1007/978-3-319-27863-6_47 Monteiro, J.C.; Esteves, R.; Santos, G.; Fiadeiro, P.T.; Lobo, J.; Cardoso, J.S.. A comparative analysis of two approaches to periocular recognition in mobile scenarios. 2015. 10.1007/978-3-319-27863-6_25 Fernandes, K.; Cardoso, J.S.; Fernandes, J.. Temporal segmentation of digital colposcopies. 2015. 10.1007/978-3-319-19390-8_30 Kandaswamy, C.; Silva, L.M.; Cardoso, J.S.. Source-target-source classification using stacked denoising autoencoders. 2015. 10.1007/978-3-319-19390-8_5 Monteiro, J.C.; Cardoso, J.S.. A novel application of universal background models for periocular recognition. 2015. 10.1007/978-3-319-27707-3_18 Pereira, E.M.; Ciobanu, L.; Cardoso, J.S.. Social signaling descriptor for group behaviour analysis. 2015. 10.1007/978-3-319-19390-8_2 Paredes, R.; Cardoso, J.S.; Pardo, X.M.. Preface. 2015. Paredes, R.; Cardoso, J.S.; Pardo, X.M.. Pattern recognition and image analysis: 7th Iberian conference, IbPRIA 2015 Santiago de Compostela, Spain, june 17–19, 2015 proceedings. 2015. 10.1007/978-3-319-19390-8 Monteiro, J.C.; Sequeira, A.F.; Oliveira, H.P.; Cardoso, J.S.. Robust iris localisation in challenging scenarios. 2014. 10.1007/978-3-662-44911-0_10 Sousa, R.; Da Rocha Neto, A.R.; Cardoso, J.S.; Barreto, G.A.. Classification with reject option using the self-organizing map. 2014. 10.1007/978-3-319-11179-7-14 Sousa, R.; Yevseyeva, I.; Da Costa, J.F.P.; Cardoso, J.S.. Multicriteria models for learning ordinal data: A literature review. 2013. 10.1007/978-3-642-29694-9-6 Pereira, E.M.; Cardoso, J.S.; Morla, R.. Motion flow tracking in unconstrained videos for retail scenario. 2013. 10.1007/978-3-642-38628-2_40 Sanches, J.M.; Micó, L.; Cardoso, J.S.. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface. 2013. 10.1007/978-3-642-38628-2 Oliveira, H.P.; Silva, M.D.; Magalhães, A.; Cardoso, M.J.; Cardoso, J.S.. Is kinect depth data accurate for the aesthetic evaluation after breast cancer surgeries?. 2013. 10.1007/978-3-642-38628-2_31 Rebelo, A.; Marçal, A.R.S.; Cardoso, J.S.. Global constraints for syntactic consistency in OMR: An ongoing approach. 2013. 10.1007/978-3-642-39094-4_84 Pinto, T.; Rebelo, A.; Giraldi, G.; Cardoso, J.S.. Music score binarization based on domain knowledge. 2011. 10.1007/978-3-642-21257-4_87 Sousa, R.; Oliveira, H.P.; Cardoso, J.S.. Feature selection with complexity measure in a quadratic programming setting. 2011. 10.1007/978-3-642-21257-4_65 Da Rocha Neto, A.R.; Sousa, R.; De A. Barreto, G.; Cardoso, J.S.. Diagnostic of pathology on the vertebral column with embedded reject option. 2011. 10.1007/978-3-642-21257-4_73 Carvalho, P.; Pinheiro, M.; Cardoso, J.S.; Corte-Real, L.. A shortest path approach for vibrating line detection and tracking. 2011. 10.1007/978-3-642-21257-4_2 Faculdade de Engenharia. An accurate and interpretable model for BCCT.core. Portugal. 2010. Faculdade de Engenharia. A new linear parametrization for peak friction coefficient estimation in real time. Portugal. 2010. Hélder P. Oliveira; André Magalhães; Maria J. Cardoso; Jaime S. Cardoso. An accurate and interpretable model for BCCT.core. 2010. 10.1109/iembs.2010.5627778 Ricardo de Castro; Rui Esteves Araújo; Jaime S. Cardoso; Diamantino Freitas. A new linear parametrization for peak friction coefficient estimation in real time. 2010. 10.1109/vppc.2010.5729138 Jaime S. Cardoso. Stable Text Line Detection. Portugal. 2009. Faculdade de Engenharia. Stable text line detection. Portugal. 2009. 10.1109/wacv.2009.5403119 Faculdade de Engenharia. An ordinal data method for the classification with reject option. Portugal. 2009. Faculdade de Engenharia. Image retargeting using stable paths. Portugal. 2009. Faculdade de Engenharia. The evaluation of the usability of an intelligent medical system: BCCT.core. Portugal. 2009. Ana Paula Afonso; Jaime S. Cardoso; Maria João Cardoso; Manuel Pérez Cota. The evaluation of the usability of an intelligent medical system: BCCT.core. 2009. Ricardo Sousa; Beatriz Mora; Jaime S Cardoso. An ordinal data method for the classification with reject option. 2009. 10.1109/icmla.2009.11 Jaime S. Cardoso. Stable text line detection. 2009. 10.1109/wacv.2009.5403119 Hélder P. Oliveira; Jaime S. Cardoso. Image retargeting using stable paths. 2009. Cardoso, J.S.; Sousa, R.; Teixeira, L.F.; Cardoso, M.J.. Breast contour detection with stable paths. 2008. 10.1007/978-3-540-92219-3_33 Faculdade de Engenharia. Object-based spatial segmentation of video guided by depth and motion information. Portugal. 2007. Cardoso, J.S.; Cardoso, M.J.. Breast contour detection for the aesthetic evaluation of breast cancer conservative treatment. 2007. 10.1007/978-3-540-75175-5_65 Jaime S. Cardoso; Jorge C. S. Cardoso; Luís Corte-Real. Object-based spatial segmentation of video guided by depth and motion information. 2007. 10.1109/wmvc.2007.31 Costa, J.P.D.; Cardoso, J.S.. Classification of ordinal data using neural networks. 2005. 10.1007/11564096_70
Book chapter	Ferreira,PM; Jaime Cardoso; Rebelo,A. "Multimodal Learning for Sign Language Recognition". Portugal, http://dx.doi.org/10.1007/978-3-319-58838-4_35 Kelwin Alexander Correia; Jaime Cardoso; Astrup,BS. "Automated Detection and Categorization of Genital Injuries Using Digital Colposcopy". Portugal, http://dx.doi.org/10.1007/978-3-319-58838-4_28 Kelwin Alexander Correia; Jaime Cardoso; Fernandes,J. "Transfer Learning with Partial Observability Applied to Cervical Cancer Screening". Portugal, http://dx.doi.org/10.1007/978-3-319-58838-4_27 Sousa,R; da Rocha Neto,AR; Jaime Cardoso; Barreto,GA. "Classification with Reject Option Using the Self-Organizing Map". Portugal, http://dx.doi.org/10.1007/978-3-319-11179-7_14 Jaime Cardoso; Paulo Rodrigues; Antonio Junior; Jasjit Suri; Luiz de Aquino; Gilson Giraldi. "Surface Reconstruction and Geometric Modeling for Digital Prosthesis Design". Portugal, Irina Yevseyeva; Ricardo Jorge Sousa; Jaime Cardoso; Joaquim F. Pinto da Costa. "Multi-Criteria Models for Learning Ordinal Data: a literature review". Portugal, Leonardo Capozzi; Leonardo Ferreira; Tiago Gonçalves; Ana Rebelo; Jaime S. Cardoso; Ana F. Sequeira. "Deciphering the Silent Signals: Unveiling Frequency Importance for Wi-Fi-Based Human Pose Estimation with Explainability". 2026. 10.1007/978-3-031-99568-2_23 Fábio Teixeira; Helena Montenegro; Eduard Bonci; Maria J. Cardoso; Jaime S. Cardoso. "SiameseOrdinalCLIP: A Language-Guided Siamese Network for the Aesthetic Evaluation of Breast Cancer Locoregional Treatment". 2026. 10.1007/978-3-032-05559-0_18 Pedro Ferreira; Mohammad Hossein Zolfagharnasab; Tiago Gonçalves; Eduard Bonci; Carlos Mavioso; Maria J. Cardoso; Jaime S. Cardoso. "Predicting Aesthetic Outcomes of Breast Cancer Surgery: A Robust and Explainable Image Retrieval Approach". 2026. 10.1007/978-3-032-05559-0_27 Pascal Klöckner; José Teixeira; Diana Montezuma; Jaime S. Cardoso; Hugo M. Horlings; Sara P. Oliveira. "GANs vs. Diffusion Models for Virtual Staining with the HER2match Dataset". 2026. 10.1007/978-3-032-05472-2_12 Mohammad Hossein Zolfagharnasab; Tiago Gonalves; Pedro Ferreira; Maria J. Cardoso; Jaime S. Cardoso. "Towards Robust Breast Segmentation: Leveraging Depth Awareness and Convexity Optimization For Tackling Data Scarcity". 2026. 10.1007/978-3-032-05559-0_5 Leonor Fernandes; Tiago Gonçalves; João Matos; Luis Nakayama; Jaime S. Cardoso. "Disentanglement and Assessment of Shortcuts in Ophthalmological Retinal Imaging Exams". 2026. 10.1007/978-3-032-05870-6_21 José Teixeira; Pascal Klöckner; Diana Montezuma; Melis Erdal Cesur; João Fraga; Hugo M. Horlings; Jaime S. Cardoso; Sara P. Oliveira. "Leveraging Adversarial Learning for Pathological Fidelity in Virtual Staining". 2026. 10.1007/978-3-032-05472-2_20 Gonçalo Pinto; Mohammad Hossein Zolfagharnasab; Luís F. Teixeira; Helena Cruz; Maria J. Cardoso; Jaime S. Cardoso. "Towards Utilizing Robust Radiance Fields for 3D Reconstruction of Breast Aesthetics". 2026. 10.1007/978-3-032-05559-0_28 Joana Santos; Helena Montenegro; Eduard Bonci; Maria J. Cardoso; Jaime S. Cardoso. "Anatomically and Clinically Informed Deep Generative Model for Breast Surgery Outcome Prediction". 2026. 10.1007/978-3-032-05559-0_19 Mohammad Hossein Zolfagharnasab; Nuno Freitas; Tiago Gonçalves; Eduard Bonci; Carlos Mavioso; Maria J. Cardoso; Hélder P. Oliveira; Jaime S. Cardoso. "Predicting Aesthetic Outcomes in Breast Cancer Surgery: A Multimodal Retrieval Approach". 2025. 10.1007/978-3-031-77789-9_14 Nuno Freitas; Carlos Veloso; Carlos Mavioso; Maria J. Cardoso; Hélder P. Oliveira; Jaime S. Cardoso. "Endpoint Detection in Breast Images for Automatic Classification of Breast Cancer Aesthetic Results". 2025. 10.1007/978-3-031-77789-9_12 Tiago Gonçalves; Anna Hedström; Aurélie Pahud de Mortanges; Xiaoxiao Li; Henning Müller; Jaime S. Cardoso; Mauricio Reyes; Marco Lorenzi; Maria A. Zuluaga. "Chapter 15 - Interpretable AI for medical image analysis: methods, evaluation, and clinical considerations". edited by Marco Lorenzi; Maria A. Zuluaga, 315-346. {Academic Press, 2025. https://doi.org/10.1016/B978-0-44-323761-4.00027-4 Filipe Campos; Francisco Gonçalves Cerqueira; Ricardo P. M. Cruz; Jaime S. Cardoso. "YOLOMM – You Only Look Once for Multi-modal Multi-tasking". 2024. 10.1007/978-3-031-49018-7_40 Ricardo P. M. Cruz; A. S. M. Shihavuddin; Md. Hasan Maruf; Jaime S. Cardoso. "Active Supervision: Human in the Loop". 2024. 10.1007/978-3-031-49018-7_38 Javier Barbero-Gómez; Ricardo Cruz; Jaime S. Cardoso; Pedro A. Gutiérrez; César Hervás-Martínez. "Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models". 2023. 10.1007/978-3-031-43078-7_43 Pinto, JR; Cardoso, JS. "ECG Biometrics". 2021. 10.1007/978-3-642-27739-9_1517-1 Pedro Costa; Aurélio Campilho; Jaime Cardoso. "A Study on Annotation Efficient Learning Methods for Segmentation in Prostate Histopathological Images". 2021. 10.1007/978-3-030-93420-0_6 Leonardo Capozzi; João Ribeiro Pinto; Jaime S. Cardoso; Ana Rebelo. "Optimizing Person Re-Identification Using Generated Attention Masks". 2021. 10.1007/978-3-030-93420-0_24 Leonardo Capozzi; João Ribeiro Pinto; Jaime S. Cardoso; Ana Rebelo. "End-to-End Deep Sketch-to-Photo Matching Enforcing Realistic Photo Generation". 2021. 10.1007/978-3-030-93420-0_42 Arthur Matta; João Ribeiro Pinto; Jaime S. Cardoso. "Mixture-Based Open World Face Recognition". 2021. 10.1007/978-3-030-72660-7_62 Jaime Cardoso; Hien Van Nguyen; Nicholas Heller; Pedro Henriques Abreu; Ivana Isgum; Wilson Silva; Ricardo Cruz; et al. "Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing". C1-C1. Springer International Publishing, 2020. 10.1007/978-3-030-61166-8_30 Ana Rebelo; Tiago Oliveira; Manual E. Correia; Jaime S. Cardoso. "Are Deep Learning Methods Ready for Prime Time in Fingerprints Minutiae Extraction?". 628-636. Springer International Publishing, 2019. 10.1007/978-3-030-13469-3_73 Ricardo Cruz; Joaquim F. Pinto Costa; Jaime S. Cardoso. "Automatic Augmentation by Hill Climbing". 2019. 10.1007/978-3-030-30484-3_10 Ricardo J. Araújo; Jaime S. Cardoso; Hélder P. Oliveira. "A Single-Resolution Fully Convolutional Network for Retinal Vessel Segmentation in Raw Fundus Images". 2019. 10.1007/978-3-030-30645-8_6 Ricardo J. Araújo; Jaime S. Cardoso; Hélder P. Oliveira. "Deep Vesselness Measure from Scale-Space Analysis of Hessian Matrix Eigenvalues". 2019. 10.1007/978-3-030-31321-0_41 Gabriel Lopes; João Ribeiro Pinto; Jaime S. Cardoso. "Don’t You Forget About Me: A Study on Long-Term Performance in ECG Biometrics". 2019. 10.1007/978-3-030-31321-0_4 Pinto, JR; Cardoso, JS; Lourenço, A. "Deep Neural Networks for Biometric Identification Based on Non-Intrusive ECG Acquisitions". 2019. 10.1201/9781351013437-11
Conference abstract	Mazarei, Arefeh; Parker, Albert; Goeres, Darla; Vilas Boas, J.; Cardoso, Jaime; Azevedo, Nuno Filipe. Corresponding author: Mazarei, Arefeh. "From Images to Insights: Evaluating Cell Segmentation Strategies for Biofilm Analysis". Paper presented in Congress of Microbiology and Biotechnology 2025, Azores, 2025. Accepted Mazarei, Arefeh; Diogo Narciso; Albert Parker; Vilas Boas, Joana; Azevedo, Nuno Filipe; Darla Goeres; Cardoso, Jaime. Corresponding author: Mazarei, Arefeh. "Decoding Biofilm Complexity: Evaluating General vs. Specialized Deep Learning Models for 3D Cell Segmentation". Paper presented in MadeAI 2025 – Modelling, Data Analytics and AI in Engineering, Porto, 2025. Accepted Mazarei, Arefeh; Diogo Narciso; Albert Parker; Vilas Boas, Joana; Cardoso, Jaime; Darla Goeres; Azevedo, Nuno Filipe. Corresponding author: Mazarei, Arefeh. "Why is Cell Segmentation Still a Challenge? A Comparative Study on 3D Biofilm Analysis". Paper presented in Biofilms 11, Cardiff, 2025. Accepted Tomé Albuquerque; fang, mei ling; wiestler, benedikt; Delbridge, Claire; Vasconcelos, Maria João M.; Cardoso, Jaime. Corresponding author: Tomé Albuquerque. "Multimodal Identification of Brain Tumor Biomarkers using a Deep Fusion Strategy from MRI and Digital Pathology exams". Paper presented in European Congress on Digital Pathology (ECDP), 2023. Published Pedro C. Neto; Sara Oliveira; João Fraga; Diana Montezuma; Jaime S. Cardoso; Isabel Macedo Pinto. "Colorectal biopsies assessment using weakly supervised classification of wholeslide images". Paper presented in 17th European Congress on Digital Pathology (ECDP), 2021. Accepted Marcela de Oliveira; M. Piacenti-Silva; Fernando Rocha; Jorge M. Santos; Jaime S. Cardoso; Paulo N. Lisboa-Filho. "Skull extraction for analysis of brain damage in magnetic resonance imaging". Paper presented in 3rd European Congress of Medical Physics (ECMP), 2021. Pinto, D; Mavioso, C; Araujo, RJ; Oliveira, HP; Anacleto, JC; Vasconcelos, MA; Gouveia, P; et al. "Automatic detection of perforators for microsurgical reconstruction and correlation with patient's body-mass index". 2020. 10.1016/s0959-8049(20)30661-4 Marcela de Oliveira; Marina da Silva; Fernando Rocha; Jorge M. Santos; Jaime S. Cardoso; Paulo Lisboa-Filho. "Skull Extraction for Quantification of Brain Volume in MRI of multiple Sclerosis Patients". Paper presented in ICMPBE 2020 : International Conference on Medical Physics and Biomedical Engineering, 2020. Sara P. Oliveira; João Ribeiro Pinto; Tiago Gonçalves; Hélder P. Oliveira; Jaime S. Cardoso. "IHC Classification in Breast Cancer H&E Slides with a Weakly-Supervised Approach". Paper presented in 26th Portuguese Conference on Pattern Recognition, 2020. Accepted Hélder P. Oliveira; Ricardo J. Araújo; Jaime S. Cardoso. "Increasing topological consistency in blood vessel segmentation". Paper presented in 25th Portuguese Conference on Pattern Recognition, 2019. Mavioso, C; Correia Anacleto, JC; Vasconcelos, MA; Araujo, R; Oliveira, H; Pinto, D; Gouveia, P; et al. "The development of an automatic tool to improve perforators detection in Angio CT in DIEAP flap breast reconstruction". 2018. 10.1016/s0959-8049(18)30448-9 Hélder P. Oliveira; Sílvia Bessa; Hooshiar Zolfagharnasab; Sara P. Oliveira; Jaime S. Cardoso. "Prediction of Healing Deformities after Breast Conserving Surgery". Paper presented in 24th Portuguese Conference on Pattern Recognition, 2018. Hélder P. Oliveira; Sara P. Oliveira; Jaime S. Cardoso; Maria J. Cardoso. "Radio-Pathomics approach for Breast Tumor Signature: an overview". Paper presented in 24th Portuguese Conference on Pattern Recognition, 2018. Hélder P. Oliveira; Sílvia Bessa; Jaime S. Cardoso. "Registration of Breast Surfaces Before and After Conservative Treatment of Cancer". Paper presented in 23rd Portuguese Conference on Pattern Recognition, 2017. Hélder P. Oliveira; Sílvia Bessa; Jaime S. Cardoso. "Multi-modal Image Registration for Generation of Complete 3D Models of the Breast: A Technical Review". Paper presented in 22nd Portuguese Conference on Pattern Recognition, 2016. Hélder P. Oliveira; Hooshiar Zolfagharnasab; Jaime S. Cardoso. "Parametric Modeling of Breast Data Using Free Form Deformation". Paper presented in 22nd Portuguese Conference on Pattern Recognition, 2016. Hélder P. Oliveira; Ricardo J. Araújo; Jaime S. Cardoso. "Segmentation of Vascular Networks: A Technological Review". Paper presented in 22nd Portuguese Conference on Pattern Recognition, 2016. Keshtgar, MR; Williams, NR; Corica, T; Bulsara, M; Saunders, C; Flyger, H; Bentzon, N; et al. "Cosmetic outcome after intraoperative radiotherapy or external beam radiotherapy for early breast cancer: An objective assessment of patients from a randomized controlled trial". 2013. 10.1200/jco.2013.31.26_suppl.59 Keshtgar, M; Williams, NR; Corica, T; Bulsara, M; Saunders, C; Flyger, H; Bentzon, N; et al. "An objective assessment of cosmetic outcome after intraoperative radiotherapy or external beam radiotherapy for early breast cancer in patients from a randomized controlled trial". 2013. Keshtgar, M; Williams, NR; Corica, T; Bulsara, M; Saunders, C; Flyger, H; Bentzon, N; et al. "Cosmetic outcome is better after intraoperative radiotherapy compared with external beam radiotherapy: An objective assessment of patients from a randomized controlled trial". 2013. 10.1158/0008-5472.sabcs13-p5-14-12 Keshtgar, MR; Williams, NR; Corica, T; Bulsara, M; Saunders, C; Flyger, H; Bentzon, N; et al. "Cosmetic outcome after intraoperative radiotherapy or external beam radiotherapy for early breast cancer: An objective assessment of patients from a randomized controlled trial.". 2013. 10.1200/jco.2013.31.15_suppl.1110 Cardoso, J; Mesquita, M; Braga, S; Dias Pereira, AD; Bettencourt Dias, M; Chaves, P; Pereira Leal, J. "WWTR1 and CYR61 Are Early Prognostic Markers of Barrett's Esophagus Malignant Progression". 2012. 10.1016/s0959-8049(12)71782-3 Sousa, Ricardo; Jaime S. Cardoso; Joaquim F. Pinto da Costa. "Multicriteria Models on Ordinal Data". Paper presented in 1st Students Conference in Electrical and Computers Engineering (StudECE 2012), Porto, 2012. Published Magalhaes, AT; Oliveira, HP; Costa, S; Cardoso, JS; Cardoso, MJ. "Value of Photographic Side-Views in the Objective Evaluation of the Aesthetic Result of Breast Cancer Conservative Treatment". 2010. 10.1158/0008-5472.sabcs10-p5-14-17 Immink, M; Putter, H; Visser, J; Bartelink, H; Cardoso, J; Cardoso, MJ; Noordijk, EM; et al. "Long-term cosmetic changes after breast conserving therapy for patients with stage I and II breast cancer treated in the EORTC "boost versus no boost" trial". 2008. 10.1016/s1359-6349(08)70605-0 Hell, JM; Brockhoff, J; Gebauer, G; Jenetzky, E; Cardoso, M; Cardoso, J; Stanton, A; Sohn, C. "A comprehensive approach to measure cosmetic and functional results of breast conserving therapy - design and first results of a pilot study". 2008. Cardoso, MJ; Cardoso, JS; Wild, T; Krois, W; Fitzal, F. "Comparing two objective methods for the aesthetic evaluation of breast cancer conservative treatment". 2008. 10.1016/s1359-6349(08)70852-8 Cardoso, MJ; Cardoso, JS; Vrieling, C; Christie, D; Joahensen, J; Costa, S; Almeida, T. "Is face-view only enough for the aesthetic evaluation of breast cancer conservative treatment (BCCT)?". 2007. 10.1016/s1359-6349(07)71708-1 Cardoso, MJ; Cardoso, JS. "Towards a computer-aided medical system for the aesthetic evaluation of breast cancer conservative treatment.". 2006. Cardoso, MJ; Leitao, I; Moura, AJ; Santos, AC; Cardoso, J; Barros, H; Oliveira, MC. "Aesthetic evaluation of conservative breast cancer treatment. Can measuring help?". 2004. 10.1016/s1359-6349(04)90980-9 Cardoso, MJ; Leitao, I; Moura, AJ; Santos, AC; Cardoso, J; Barros, H; Oliveira, MC. "Aesthetic evaluation of conservative breast cancer treatment: new scales of agreement or disagreement?". 2004. 10.1016/s1359-6349(04)90973-1 Cardoso, MJ; Preto, J; Queiros, H; Garrido, V; Moura, AJ; Pinto de Sousa, J; Ayres de Campos, D; Cardoso, J. "Aesthetic evaluation of conservative breast cancer treatment: trying to optimize results". 2002. 10.1016/s0959-8049(02)80332-x
Conference paper	Ricardo P. M. Cruz; Cardoso, Jaime. "Preserving Ordinality in Diabetic Retinopathy Grading through a Distribution-Based Loss Function". Paper presented in NLDL Northern Lights Deep Learning Conference 2026, 2026. Published Montenegro, Helena; Maria J. Cardoso; Jaime S. Cardoso. "A Disentangled Approach to Predict the Aesthetic Outcomes of Breast Cancer Treatment". Paper presented in European Conference on Computer Vision (ECCV) - Advances in Image Manipulation (AIM) Workshop, Milão, 2024. Accepted Isabel Rio-Torto; Tiago Gonçalves; Jaime S. Cardoso; Luís F. Teixeira. "On the Suitability of B-cos Networks for the Medical Domain". 2024. 10.1109/isbi56570.2024.10635506 Freitas, Nuno; Jaime S. Cardoso; Daniel Silva; Cardoso, Maria João. Corresponding author: Freitas, Nuno. "Deep Edge Detection Methods for the Automatic Detection of the Breast Contour". Paper presented in RECPAD 2023 - 29th Portuguese Conference on Pattern Recognition, Coimbra, 2023. Published Albuquerque, Tomé; fang, mei ling; wiestler, benedikt; Delbridge, Claire; Vasconcelos, Maria João M.; Cardoso, Jaime; schuffler, Peter. "Multimodal Context-Aware Detection of Glioma Biomarkers using MRI and WSI". Vancouver, 2023. Published Eduarda Caldeira; Pedro C. Neto; Tiago Gonçalves; Naser Damer; Ana F. Sequeira; Jaime S. Cardoso. "Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection". Paper presented in EUSIPCO, Helsinki, 2023. 10.23919/eusipco58844.2023.10289844 Gonçalo Ferreira; Marco Teixeira; Raquel Belo; Wilson Silva; Jaime S. Cardoso. "Deep Learning Strategies For Rare Drug Mechanism of Action Prediction". 2023. 10.1109/ijcnn54540.2023.10191437 Gouveia, M; Castro, E; Rebelo, A; Cardoso, JS; Patrão, B. "Deep Minutiae Fingerprint Extraction Using Equivariance Priors". 2023. 10.5220/0011673500003414 Matos, J; Struja, T; Gallifant, J; Charpignon, ML; Cardoso, JS; Celi, LA. "Shining Light on Dark Skin: Pulse Oximetry Correction Models". 2023. 10.1109/enbeng58165.2023.10175316 Melo, T; Cardoso, J; Carneiro, A; Campilho, A; Mendonça, AM. "OCT Image Synthesis through Deep Generative Models". 2023. 10.1109/cbms58004.2023.00107 Huber, M; Boutros, F; Luu, AT; Raja, K; Ramachandra, R; Damer, N; Neto, PC; et al. "SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data". 2022. 10.1109/ijcb54206.2022.10007950 Pinto, JR; Carvalho, P; Pinto, C; Sousa, A; Capozzi, L; Cardoso, JS. "Streamlining Action Recognition in Autonomous Shared Vehicles with an Audiovisual Cascade Strategy". 2022. 10.5220/0010838900003124 Rio-Torto, I; Cardoso, JS; Teixeira, LF. "From Captions to Explanations: A Multimodal Transformer-based Architecture for Natural Language Explanation Generation". 2022. 10.1007/978-3-031-04881-4_5 Montenegro, H; Silva, W; Cardoso, JS. "Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations". 2022. 10.1007/978-3-031-25046-0_4 Costa, P; Gaudio, A; Campilho, A; Cardoso, JS. "Explainable Weakly-Supervised Cell Segmentation by Canonical Shape Learning and Transformation". 2022. Silva, W; Carvalho, M; Mavioso, C; Cardoso, MJ; Cardoso, JS. "Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes". 2022. 10.1007/978-3-031-04881-4_9 Mata, D; Silva, W; Cardoso, JS. "Increased Robustness in Chest X-Ray Classification Through Clinical Report-Driven Regularization". 2022. 10.1007/978-3-031-04881-4_10 Dumont, M; Correia, C; Sauvage, JF; Schwartz, N; Gray, M; Beltramo-Martin, O; Cardoso, J. "Deep learning for space-borne focal-plane wavefront sensing". 2022. 10.1117/12.2628868 Albuquerque, T; Moreira, A; Barros, B; Montezuma, D; Oliveira, SP; Neto, PC; Monteiro, JC; et al. "Quality Control in Digital Pathology: Automatic Fragment Detection and Counting". 2022. 10.1109/embc48229.2022.9871208 Neto, PC; Boutros, F; Pinto, JR; Damer, N; Sequeira, AF; Cardoso, JS; Bengherabi, M; et al. "OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions". 2022. 10.1109/ijcb54206.2022.10007963 Boutros, F; Damer, N; Kolf, JN; Raja, K; Kirchbuchner, F; Ramachandra, R; Kuijper, A; et al. "MFR 2021: Masked Face Recognition Competition". 2021. 10.1109/ijcb52358.2021.9484337 Neto, PC; Boutros, F; Pinto, JR; Saffari, M; Damer, N; Sequeira, AF; Cardoso, JS. "My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition". 2021. 10.1109/biosig52210.2021.9548320 Albuquerque, T; Moreira, A; Cardoso, JS. "Deep Ordinal Focus Assessment for Whole Slide Images". 2021. 10.1109/iccvw54120.2021.00079 Neto, PC; Boutros, F; Pinto, JR; Darner, N; Sequeira, AF; Cardoso, JS. "FocusFace: Multi-task Contrastive Learning for Masked Face Recognition". 2021. 10.1109/fg52635.2021.9666792 Boutros, F; Damer, N; Kolf, JN; Raja, K; Kirchbuchner, F; Ramachandra, R; Kuijper, A; et al. "MFR 2021: Masked Face Recognition Competition". 2021. 10.1109/ijcb52358.2021.9484337 Cruz, R; Prates, RM; Simas, EF; Costa, JFP; Cardoso, JS. "Background Invariance by Adversarial Learning". 2021. 10.1109/icpr48806.2021.9413004 Neto, PC; Boutros, F; Pinto, JR; Darner, N; Sequeira, AF; Cardoso, JS. "FocusFace: Multi-task Contrastive Learning for Masked Face Recognition". 2021. 10.1109/fg52635.2021.9666792 Albuquerque, T; Cardoso, JS. "EMBEDDED REGULARIZATION FOR CLASSIFICATION OF COLPOSCOPIC IMAGES". 2021. 10.1109/isbi48211.2021.9433871 de Sousa, IM; Oliveira, Md; Lisboa Filho, PN; Santos Cardoso, Jd. "Evaluation of the impact of domain adaptation on segmentation of Multiple Sclerosis lesions in MRI". 2021. 10.1109/bibm52615.2021.9669533 Capozzi, Leonardo; Carvalho, Pedro; Afonso Sousa; Carolina Pinto; João Pinto; Jaime S. Cardoso. "Impact of visual noise in activity recognition using deep neural networks - an experimental approach". Paper presented in 2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML 2021), 2021. Tomé Albuquerque; Jaime S. Cardoso; Maria João M. Vasconcelos. "Image Quality Assessment of Cytology Images using Deep Learning". Paper presented in 26th Portuguese Conference in Pattern Recognition (RECPAD), Évora, 2020. Published Marcela de Oliveira; Marina Piacenti-Silva; Fernando C. G. Rocha; Jorge M. Santos; Jaime S. Cardoso; Paulo N. Lisboa-Filho. "Brain Extraction for Analysis of Magnetic Resonance Imaging in Patients with Multiple Sclerosis". Paper presented in 26th Portuguese Conference on Pattern Recognition, 2020. Gonçalves, T.; Silva, W.; Cardoso, J.. "Deep Aesthetic Assessment of Breast Cancer Surgery Outcomes". 2020. 10.1007/978-3-030-31635-8_236 Ferreira, PM; Pernes, D; Rebelo, A; Cardoso, JS. "Learning signer-invariant representations with adversarial training". 2020. 10.1117/12.2559534 Pinto, JR; Cardoso, JS. "Explaining ECG Biometrics: Is It All In The QRS?". 2020. Afonso Pereira, J; Sequeira, AF; Pernes, D; Cardoso, JS. "A robust fingerprint presentation attack detection method against unseen attacks through adversarial learning". 2020. Pinto, JR; Cardoso, JS. "Self-Learning with Stochastic Triplet Loss". 2020. 10.1109/ijcnn48605.2020.9206799 Silva, W; Poellinger, A; Cardoso, JS; Reyes, M. "Interpretability-guided content-based medical image retrieval". 2020. 10.1007/978-3-030-59710-8_30 da Silva, EP; Ramos, EM; da Silva, LT; Cardoso, JS; Giraldi, GA. "Video Summarization through Total Variation, Deep Semi-supervised Autoencoder and Clustering Algorithms". 2020. 10.5220/0008969303150322 Sequeira, AF; Silva, W; Pinto, JR; Goncalves, T; Cardoso, JS. "Interpretable Biometrics: Should We Rethink How Presentation Attack Detection is Evaluated?". 2020. 10.1109/iwbf49977.2020.9107949 Pinto, JR; Cardoso, JS; Correia, MV. "Secure Triplet Loss for End-to-End Deep Biometrics". 2020. 10.1109/iwbf49977.2020.9107958 Castro, E; Pereira, JC; Cardoso, JS. "Soft Rotation Equivariant Convolutional Neural Networks". 2020. 10.1109/ijcnn48605.2020.9206640 Augusto P.; Cardoso J.S.; Fonseca J.. "Automotive Interior Sensing-Towards a Synergetic Approach between Anomaly Detection and Action Recognition Strategies". 2020. 10.1109/ipas50080.2020.9334942 de Oliveira, M; Santinelli, FB; Piacenti Silva, M; Rocha, FCG; Barbieri, FA; Lisboa, PN; Santos, JM; Cardoso, JD. "Quantification of Brain Lesions in Multiple Sclerosis Patients using Segmentation by Convolutional Neural Networks". 2020. 10.1109/bibm49941.2020.9313244 Pinto, JR; Gonçalves, T; Pinto, C; Sanhudo, L; Fonseca, J; Gonçalves, F; Carvalho, P; Cardoso, JS. "Audiovisual Classification of Group Emotion Valence Using Activity Recognition Networks". 2020. 10.1109/ipas50080.2020.9334943 Augusto P.; Cardoso J.S.; Fonseca J.. "Automotive Interior Sensing-Towards a Synergetic Approach between Anomaly Detection and Action Recognition Strategies". 2020. 10.1109/ipas50080.2020.9334942 de Oliveira, M; Santinelli, FB; Piacenti Silva, M; Rocha, FCG; Barbieri, FA; Lisboa, PN; Santos, JM; Cardoso, JD. "Quantification of Brain Lesions in Multiple Sclerosis Patients using Segmentation by Convolutional Neural Networks". 2020. 10.1109/bibm49941.2020.9313244 Pinto, JR; Gonçalves, T; Pinto, C; Sanhudo, L; Fonseca, J; Gonçalves, F; Carvalho, P; Cardoso, JS. "Audiovisual Classification of Group Emotion Valence Using Activity Recognition Networks". 2020. 10.1109/ipas50080.2020.9334943 Rebelo, J.; Fernandes, K.; Cardoso, J.S.. "Quality-based Regularization for Iterative Deep Image Segmentation". 2019. 10.1109/EMBC.2019.8857237 Araújo, RJ; Cardoso, JS; Oliveira, HP. "A deep learning design for improving topology coherence in blood vessel segmentation". 2019. 10.1007/978-3-030-32239-7_11 Sousa, J.; Rebelo, A.; Cardoso, J.S.. "Automation of Waste Sorting with Deep Learning". 2019. 10.1109/WVC.2019.8876924 Silva, W; Fernandes, K; Cardoso, JS. "How to produce complementary explanations using an Ensemble Model". 2019. 10.1109/ijcnn.2019.8852409 Alves, PG; Cardoso, JS; Do Bom Sucesso, M. "The Challenges of Applying Deep Learning for Hemangioma Lesion Segmentation". 2019. 10.1109/euvip.2018.8611730 Oliveira, L; Cardoso, JS; Lourenço, A; Ahlström, C. "Driver drowsiness detection: A comparison between intrusive and non-intrusive signal acquisition methods". 2019. 10.1109/euvip.2018.8611704 Simas Filho, E.F.; Prates, R.M.; Ramos, R.P.; Cardoso, J.S.. "Power distribution insulators classification using image hybrid deep learning". 2019. 10.23919/eusipco.2019.8903139 Silva, W; Castro, E; Cardoso, MJ; Fitzal, F; Cardoso, JS. "DEEP KEYPOINT DETECTION FOR THE AESTHETIC EVALUATION OF BREAST CANCER SURGERY OUTCOMES". 2019. 10.1109/ISBI.2019.8759331 Castro, E; Pereira, JC; Cardoso, JS. "Weight Rotation as a Regularization Strategy in Convolutional Neural Networks". 2019. 10.1109/embc.2019.8856448 Ferreira, P.M.; Sequeira, A.F.; Pernes, D.; Rebelo, A.; Cardoso, J.S.. "Adversarial learning for a robust iris presentation attack detection method against unseen attack presentations". 2019. Cruz, R; Costa, JFP; Cardoso, JS. "Averse Deep Semantic Segmentation". 2019. 10.1109/embc.2019.8857385 Pernes, D.; Cardoso, J.S.. "SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities". 2019. 10.1109/IJCNN.2019.8851929 Pinto, JR; Cardoso, JS. "An End-to-End Convolutional Neural Network for ECG-Based Biometric Authentication". 2019. 10.1109/btas46853.2019.9185990 Pernes, D; Cardoso, JS. "SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities". 2019. Ferreira, Pedro M.; Sequeira, Ana F.; Cardoso, Jaime S.; Rebelo, Ana. "Robust clustering-based segmentation methods for fingerprint recognition". 2019. 10.23919/BIOSIG.2018.8553022 Fernandes, K; Cruz, R; Cardoso, JS. "Deep Image Segmentation by Quality Inference". 2018. 10.1109/ijcnn.2018.8489696 Silva, W; Pinto, JR; Cardoso, JS. "A Uniform Performance Index for Ordinal Classification with Imbalanced Classes". 2018. 10.1109/ijcnn.2018.8489327 Oliveira, L; Cardoso, JS; Lourenco, A; Ahlstrom, C. "Driver drowsiness detection: a comparison between intrusive and non-intrusive signal acquisition methods". 2018. Alves, PG; Cardoso, JS; do Bom Sucesso, M. "The Challenges of Applying Deep Learning for Hemangioma Lesion Segmentation". 2018. Silva, W; Fernandes, K; Cardoso, MJ; Cardoso, JS. "Towards complementary explanations using deep neural networks". 2018. 10.1007/978-3-030-02628-8_15 Castro, E; Cardoso, JS; Pereira, JC. "Elastic deformations for data augmentation in breast cancer mass detection". 2018. 10.1109/bhi.2018.8333411 Cruz, R; Silveira, M; Cardoso, JS. "A Class Imbalance Ordinal Method for Alzheimer's Disease Classification". 2018. 10.1109/prni.2018.8423960 Rosado, L; Silva, PT; Faria, J; Oliveira, J; Vasconcelos, MJM; Elias, D; Correia da Costa, JMC; Cardoso, JS. "mu SmartScope: Towards a Fully Automated 3D-Printed Smartphone Microscope with Motorized Stage". 2018. 10.1007/978-3-319-94806-5_2 Ferreira, P.M.; Sequeira, A.F.; Cardoso, J.S.; Rebelo, A.. "Robust Clustering-based Segmentation Methods for Fingerprint Recognition". 2018. 10.23919/BIOSIG.2018.8553022 Fernandes, K.; Cardoso, J.S.. "Ordinal Image Segmentation using Deep Neural Networks". 2018. 10.1109/ijcnn.2018.8489527 Silva, J.; Sousa, I.; Cardoso, J.. "Transfer learning approach for fall detection with the FARSEEING real-world dataset and simulated falls". 2018. 10.1109/embc.2018.8513001 Ferreira, Pedro M.; Sequeira, Ana F.; Cardoso, Jaime S.; Rebelo, Ana. "Robust Clustering-based Segmentation Methods for Fingerprint Recognition". 2018. Fernandes, Kelwin; Cardoso, Jaime S.. "Ordinal Image Segmentation using Deep Neural Networks". 2018. Rebelo, Ana; Cardoso, Jaime S.. "Staff line detection and removal in the grayscale domain". 2018. https://doi.org/10.1109/ICDAR.2013.20 Cardoso, Jaime S.; Capela, Artur; Rebelo, Ana; Guedes, Carlos. "A connected path approach for staff detection on a music score". 2018. Rebelo, Ana; Marcal, Andre R. S.; Cardoso, Jaime S.. "Global constraints for syntactic consistency in omr: an ongoing approach". 2018. https://doi.org/10.1007/978-3-642-39094-4_84 Cardoso, Jaime S.; Rebelo, Ana. "Robust staffline thickness and distance estimation in binary and gray-level music scores". 2018. https://doi.org/10.1109/ICPR.2010.458 Capela, Artur; Cardoso, Jaime S.; Rebelo, Ana; Guedes, Carlos. "Integrated recognition system for music scores". 2018. Rebelo, Ana; Tkaczuk, Jakub; Sousa, Ricardo; Cardoso, Jaime S.. "Metric learning for music symbol recognition". 2018. https://doi.org/10.1109/ICMLA.2011.94 Oliveira, Licínio; Cardoso, Jaime; Lourenço, André; Ahlstrom, Christer. "Driver drowsiness detection: a comparison between intrusive and non-intrusive signal acquisition methods". 2018. Capela, Artur; Rebelo, Ana; Cardoso, Jaime S.; Guedes, Carlos. "Staff line detection and removal with stable paths". 2018. Pinto, Telmo; Rebelo, Ana; Giraldi, Gilson; Cardoso, Jaime S.. "Music score binarization based on domain knowledge". 2018. https://doi.org/10.1007/978-3-642-21257-4_87 Rebelo, Ana; Paszkiewicz, Filipe; Guedes, Carlos; Marcal, Andre R. S.; Cardoso, Jaime S.. "A method for music symbols extraction based on musical rules". 2018. Cruz,R; Kelwin Alexander Correia; Pinto Costa,JF; Ortiz,MP; Jaime Cardoso. "Combining ranking with traditional methods for ordinal class imbalance". 2017. http://dx.doi.org/10.1007/978-3-319-59147-6_46 Silva, R; Cardoso, J; Sousa, F. "Measuring Impedance in Congestive Heart Failure". 2017. 10.3233/978-1-61499-761-0-157 Ferreira, PM; Cardoso, JS; Rebelo, A. "Multimodal Learning for Sign Language Recognition". 2017. 10.1007/978-3-319-58838-4_35 Fernandes, K; Cardoso, JS; Astrup, BS. "Automated Detection and Categorization of Genital Injuries Using Digital Colposcopy". 2017. 10.1007/978-3-319-58838-4_28 Fernandes, K; Cardoso, JS; Fernandes, J. "Transfer Learning with Partial Observability Applied to Cervical Cancer Screening". 2017. 10.1007/978-3-319-58838-4_27 Cruz, R; Fernandes, K; Pinto Costa, JFP; Perez Ortiz, MP; Cardoso, JS. "Combining Ranking with Traditional Methods for Ordinal Class Imbalance". 2017. 10.1007/978-3-319-59147-6_46 Cruz, R; Fernandes, K; Pinto Costa, JFP; Perez Ortiz, MP; Cardoso, JS. "Ordinal Class Imbalance with Ranking". 2017. 10.1007/978-3-319-58838-4_1 Cruz, R; Fernandes, K; Pinto Costa, JFP; Cardoso, JS. "Constraining Type II Error: Building Intentionally Biased Classifiers". 2017. 10.1007/978-3-319-59147-6_47 Perez Ortiz, M; Fernandes, K; Cruz, R; Cardoso, JS; Briceno, J; Hervas Martinez, C. "Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation". 2017. 10.1007/978-3-319-59147-6_45 Cardoso, JS; Marques, N; Dhungel, N; Carneiro, G; Bradley, AP. "MASS SEGMENTATION IN MAMMOGRAMS: A CROSS-SENSOR COMPARISON OF DEEP AND TAILORED FEATURES". 2017. 10.1109/icip.2017.8296579 Rosado, L.; Oliveira, J.; Vasconcelos, M.J.M.; Correia da Costa, J.M.; Elias, D.; Cardoso, J.S.. "µSmart scope: 3d-printed smartphone microscope with motorized automated stage". 2017. 10.5220/0006155800380048 Kelwin Alexander Correia; Jaime Cardoso; Palacios,H. "Learning and Ensembling Lexicographic Preference Trees with Multiple Kernels". 2016. http://dx.doi.org/10.1109/ijcnn.2016.7727464 Hooshiar Zolfagharnasab; Jaime Cardoso; Hélder Filipe Oliveira. "Fitting of Breast Data Using Free Form Deformation Technique". 2016. http://dx.doi.org/10.1007/978-3-319-41501-7_68 Sequeira,AF; Thavalengal,S; Ferryman,J; Corcoran,P; Jaime Cardoso. "A Realistic Evaluation of Iris Presentation Attack Detection". 2016. http://dx.doi.org/10.1109/tsp.2016.7760965 Eiben,B; Lacher,R; Vavourakis,V; Hipwell,JH; Stoyanov,D; Williams,NR; Sabczynski,J; et al. "Breast Conserving Surgery Outcome Prediction: A Patient-Specific, Integrated Multi-modal Imaging and Mechano-Biological Modelling Framework". 2016. http://dx.doi.org/10.1007/978-3-319-41546-8_35 Rosado,L; Correia da Costa,JMC; Elias,D; Jaime Cardoso. "Automated detection of malaria parasites on thick blood smears via mobile devices". 2016. http://dx.doi.org/10.1016/j.procs.2016.07.024 Cruz,R; Kelwin Alexander Correia; Jaime Cardoso; Pinto Costa,JFP. "Tackling Class Imbalance with Ranking". 2016. http://dx.doi.org/10.1109/ijcnn.2016.7727469 Freitas,T; Alves,PG; Carpinteiro,C; Rodrigues,J; Fernandes,M; Castro,M; Monteiro,JC; Jaime Cardoso. "A Comparative Analysis of Deep and Shallow Features for Multimodal Face Recognition in a Novel RGB-D-IR Dataset". 2016. http://dx.doi.org/10.1007/978-3-319-50835-1_72 Cruz, R.; Fernandes, K.; Cardoso, J.S.; Pinto Costa, J.F.. "Tackling class imbalance with ranking". 2016. 10.1109/ijcnn.2016.7727469 Fernandes, K.; Cardoso, J.S.; Palacios, H.. "Learning and ensembling lexicographic preference trees with multiple kernels". 2016. 10.1109/ijcnn.2016.7727464 Sequeira, A.F.; Thavalengal, S.; Ferryman, J.; Corcoran, P.; Cardoso, J.S.. "A realistic evaluation of iris presentation attack detection". 2016. 10.1109/tsp.2016.7760965 Rosado, L.; Da Costa, J.M.C.; Elias, D.; Cardoso, J.S.. "Automated Detection of Malaria Parasites on Thick Blood Smears via Mobile Devices". 2016. 10.1016/j.procs.2016.07.024 Ferreira,FT; Jaime Cardoso; Hélder Filipe Oliveira. "Video analysis in indoor soccer using a quadcopter". 2015. Eduardo José Pereira; Lucian Ciobanu; Jaime Cardoso. "Social Signaling Descriptor for Group Behaviour Analysis". 2015. http://dx.doi.org/10.1007/978-3-319-19390-8_2 Kandaswamy,C; Silva,LM; Jaime Cardoso. "Source-Target-Source Classification Using Stacked Denoising Autoencoders". 2015. http://dx.doi.org/10.1007/978-3-319-19390-8_5 Samaneh Khoshrou; Jaime Cardoso; Granger,E; Luís Filipe Teixeira. "Spatio-temporal fusion for learning of regions of interests over multiple video streams". 2015. http://dx.doi.org/10.1007/978-3-319-27863-6_47 Monteiro,JC; Esteves,R; Santos,G; Fiadeiro,PT; Lobo,J; Jaime Cardoso. "A comparative analysis of two approaches to periocular recognition in mobile scenarios". 2015. http://dx.doi.org/10.1007/978-3-319-27863-6_25 Costa,J; Jaime Cardoso. "Oadaboost an adaboost Variant for Ordinal Classification". 2015. João Carlos Monteiro; Jaime Cardoso. "A Novel Application of Universal Background Models for Periocular Recognition". 2015. http://dx.doi.org/10.1007/978-3-319-27707-3_18 Kelwin Alexander Correia; Jaime Cardoso; Fernandes,J. "Temporal Segmentation of Digital Colposcopies". 2015. http://dx.doi.org/10.1007/978-3-319-19390-8_30 João Carlos Monteiro; Jaime Cardoso. "Periocular recognition under unconstrained settings with universal background models". 2015. Wen, C.; Rebelo, A.; Zhang, J.; Cardoso, J.. "Classification of optical music symbols based on combined neural network". 2015. 10.1109/icmc.2014.7231590 Monteiro, J.C.; Cardoso, J.S.. "Periocular recognition under unconstrained settings with universal background models". 2015. Ferreira, F.T.; Cardoso, J.S.; Oliveira, H.P.. "Video analysis in indoor soccer using a quadcopter". 2015. 10.5220/0005206000770086 Costa, J.; Cardoso, J.S.. "Oadaboost an adaboost Variant for Ordinal Classification". 2015. Pedro Costa; Hooshiar Zolfagharnasab; Joao P. Monteiro; Jaime S. Cardoso; Helder P. Oliveira. "3D Reconstruction of Body Parts Using RGB-D Sensors: Challenges from a Biomedical Perspective". 2014. 10.15221/14.378 Ana F. Sequeira; Juliano Murari; Jaime S. Cardoso. "Iris liveness detection methods in the mobile biometrics scenario". 2014. 10.1109/ijcnn.2014.6889816 Anisa Allahdadi; Ricardo Morla; Jaime S. Cardoso. "Outlier detection in 802.11 wireless access points using Hidden Markov Models". 2014. 10.1109/wmnc.2014.6878860 João Pedro Monteiro; Hélder Filipe Oliveira; Aguiar,P; Jaime Cardoso. "A depth-map approach for automatic mice behavior recognition". 2014. http://dx.doi.org/10.1109/icip.2014.7025458 Sousa,R; Da Rocha Neto,AR; Barreto,GA; Jaime Cardoso; Coimbra,MT. "Reject option paradigm for the reduction of support vectors". 2014. Sequeira,AF; Hélder Filipe Oliveira; Monteiro,JC; João Pedro Monteiro; Jaime Cardoso. "MobILive 2014 - Mobile Iris Liveness Detection Competition". 2014. http://dx.doi.org/10.1109/btas.2014.6996290 Domingues,I; Jaime Cardoso. "Using Bayesian surprise to detect calcifications in mammogram images". 2014. http://dx.doi.org/10.1109/embc.2014.6943784 Sílvia Neto Bessa; Domingues,I; Jaime Cardoso; Passarinho,P; Cardoso,P; Rodrigues,V; Lage,F. "Normal breast identification in screening mammography: A study on 18 000 images". 2014. http://dx.doi.org/10.1109/bibm.2014.6999178 Pernes,Diogo; Jaime Cardoso; Hélder Filipe Oliveira. "Fitting of superquadrics for breast modelling by geometric distance minimization". 2014. http://dx.doi.org/10.1109/BIBM.2014.6999171 Eduardo José Pereira; Lucian Ciobanu; Jaime Cardoso. "Context-based trajectory descriptor for human activity profiling". 2014. http://dx.doi.org/10.1109/smc.2014.6974283 Samaneh Khoshrou; Jaime Cardoso; Luís Filipe Teixeira. "Active Learning from Video Streams in a Multi-Camera Scenario". 2014. http://dx.doi.org/10.1109/icpr.2014.224 Sousa,R; Da Rocha Neto,AR; Jaime Cardoso; Barreto,GA. "Classification with reject option using the self-organizing map". 2014. http://dx.doi.org/10.1007/978-3-319-11179-7_14 Wen,C; Ana Maria Rebelo; Zhang,J; Jaime Cardoso. "Classification of optical music symbols based on combined neural network". 2014. http://dx.doi.org/10.1109/icmc.2014.7231590 Sequeira,AF; Murari,J; Jaime Cardoso. "Iris liveness detection methods in the mobile biometrics scenario". 2014. http://dx.doi.org/10.1109/ijcnn.2014.6889816 Ricardo Morla; Anisa Allahdadidastjerdi; Jaime Cardoso. "Outlier Detection in 802.11 Wireless Access Points Using Hidden Markov Models". 2014. http://dx.doi.org/10.1109/wmnc.2014.6878860 Sequeira,AF; Murari,J; Jaime Cardoso. "Iris liveness detection methods in mobile applications". 2014. Bessa, S; Domingues, I; Cardoso, JS; Passarinho, P; Cardoso, P; Rodrigues, V; Lage, F. "Normal breast identification in screening mammography: a study on 18 000 images". 2014. 10.1109/bibm.2014.6999178 Pereira, E.M.; Ciobanu, L.; Cardoso, J.S.. "Context-based trajectory descriptor for human activity profiling". 2014. 10.1109/smc.2014.6974283 Sousa, R.; Da Rocha Neto, A.R.; Barreto, G.A.; Cardoso, J.S.; Coimbra, M.T.. "Reject option paradigm for the reduction of support vectors". 2014. Domingues, I.; Cardoso, J.S.. "Using Bayesian surprise to detect calcifications in mammogram images". 2014. 10.1109/embc.2014.6943784 Sequeira, A.F.; Murari, J.; Cardoso, J.S.. "Iris liveness detection methods in mobile applications". 2014. 10.5220/0004691800220033 Khoshrou, S.; Cardoso, J.S.; Teixeira, L.F.. "Active learning from video streams in a multi-camera scenario". 2014. 10.1109/ICPR.2014.224 Pernes, D.; Cardoso, J.S.; Oliveira, H.P.. "Fitting of superquadrics for breast modelling by geometric distance minimization". 2014. 10.1109/BIBM.2014.6999171 Sequeira, A.F.; Oliveira, H.P.; Monteiro, J.C.; Monteiro, J.P.; Cardoso, J.S.. "MobILive 2014 - Mobile Iris Liveness Detection Competition". 2014. 10.1109/btas.2014.6996290 Monteiro, J.P.; Oliveira, H.P.; Aguiar, P.; Cardoso, J.S.. "A depth-map approach for automatic mice behavior recognition". 2014. 10.1109/ICIP.2014.7025458 Ana Maria Rebelo; Jaime Cardoso. "Staff line Detection and Removal in the Grayscale Domain". 2013. http://dx.doi.org/10.1109/icdar.2013.20 Hélder Filipe Oliveira; Silva,MD; Magalhães,A; Maria João Cardoso; Jaime Cardoso. "Is Kinect Depth Data Accurate for the Aesthetic Evaluation after Breast Cancer Surgeries?". 2013. http://dx.doi.org/10.1007/978-3-642-38628-2_31 Monteiro,JC; Hélder Filipe Oliveira; Sequeira,AF; Jaime Cardoso. "Robust Iris Segmentation under Unconstrained Settings". 2013. Allahdadi,A; Ricardo Morla; Aguiar,A; Jaime Cardoso. "Predicting short 802.11 sessions from RADIUS usage data". 2013. http://dx.doi.org/10.1109/LCNW.2013.6758491 Ana Maria Rebelo; André Marçal; Jaime Cardoso. "Global Constraints for Syntactic Consistency in OMR: An Ongoing Approach". 2013. http://dx.doi.org/10.1007/978-3-642-39094-4_84 Pereira,EM; Jaime Cardoso; Ricardo Morla. "Motion flow tracking in unconstrained videos for retail scenario". 2013. http://dx.doi.org/10.1007/978-3-642-38628-2_40 Rebelo, A.; Cardoso, J.S.. "Staff line detection and removal in the grayscale domain". 2013. 10.1109/ICDAR.2013.20 Pancerz, K.; Piatek, L.; Andrushevich, A.; Bazan, J.; Cardoso, J.; Clifton, D.; Drahansky, M.; et al. "International workshop on Artificial Intelligence in Medical Applications". 2013. Monteiro, J.C.; Oliveira, H.P.; Sequeira, A.F.; Cardoso, J.S.. "Robust iris segmentation under unconstrained settings". 2013. Allahdadi, A.; Morla, R.; Aguiar, A.; Cardoso, J.S.. "Predicting short 802.11 sessions from RADIUS usage data". 2013. 10.1109/LCNW.2013.6758491 Rui Silva; Jaime S. Cardoso; Rebelo, Ana Maria Silva. "Mobile framework for recognition of musical characters". Paper presented in 19th Portuguese Conference on Pattern Recognition, Lisboa, 2013. Published Jaime Cardoso; Samaneh Khoshrou; Luís Teixeira. "Evaluation of different incremental learning methods for video surveillance scenarios". 2012. Jaime Cardoso; Andre Baltazar; Luis Gustavo Martins. "Zatlab: A Gesture Analysis System to Music Interaction". 2012. Inês Campos Domingues; Jaime Cardoso; Ricardo Jorge Sousa. "Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches". 2012. Jaime Cardoso; João Carlos Monteiro. "Multimodal biometric recognition under unconstrained settings". 2012. Hélder Filipe Oliveira; Ana Filipa Sequeira; Jaime Cardoso; João Carlos Monteiro. "Gradient Flow Based Iris Segmentation on Noisy Images". 2012. Jaime Cardoso; Eduardo José Pereira; Ricardo Morla. "Motion Flow Trajectories: The Beginning of a Visual Perceptual Reasoning System in a Unified Data-Driven Approach". 2012. André T. Magalhães; Hélder Filipe Oliveira; Jaime Cardoso; Maria João Cardoso. "Depth-Map Images for the Aesthetic Evaluation of Breast Cancer Treatment". 2012. Pedro Cardoso; Inês Campos Domingues; Jaime Cardoso. "Identification of benign breasts during mammogram screening". 2012. Jaime Cardoso; Ana Filipa Sequeira; Samaneh Khoshrou. "Color feature selection for unconstrained iris recognition". 2012. Jaime Cardoso; Luís Teixiera; Pedro Miguel Carvalho; Luís Corte Real. "AUTOMATIC DESCRIPTION OF OBJECT APPEARANCES IN A WIDE-AREA SURVEILLANCE SCENARIO". 2012. André Magalhães; Hélder Filipe Oliveira; Jaime Cardoso; Maria João Cardoso. "Simultaneous Detection of Prominent Points on Breast Cancer Conservative Treatment Images". 2012. Cuihong Wen; Ana Maria Rebelo; Jaime Cardoso. "Music Symbols Segmentation through Recognition". 2012. Samaneh Khoshrou; Ana Filipa Sequeira; Jaime Cardoso. "Colour feature selection for an unconstrained iris recognition system". 2012. Hélder Filipe Oliveira; Jaime Cardoso. "Gradient Flow Based Detection of Prominent Points on BCCT Depth-Map Images". 2012. Paulo Aguiar; João Pedro Monteiro; Hélder Filipe Oliveira; Jaime Cardoso. "Depth-map Images for Automatic Mice Behavior Recognition". 2012. Jaime Cardoso; Ana Filipa Sequeira; Samaneh Khoshrou. "Colour feature selection for an unconstrained iris recognition system". 2012. Jaime Cardoso; Marco D. Silva; Hélder Filipe Oliveira. "Super-Resolution on Depth-Map Images". 2012. Cardoso, J.S.; Sousa, R.; Domingues, I.. "Ordinal data classification using kernel discriminant analysis: A comparison of three approaches". 2012. 10.1109/icmla.2012.86 Teixeira, L.F.; Carvalho, P.; Cardoso, J.S.; Corte-Real, L.. "Automatic description of object appearances in a wide-area surveillance scenario". 2012. 10.1109/ICIP.2012.6467183 Rebelo, Ana Maria Silva; Andre Marcal; Jaime S. Cardoso. "Robust Optical Recognition of Handwritten Musical Scores based on Domain Knowledge". Paper presented in Students Conference in Electrical and Computer Engineering, Porto, 2012. Published Ajalmar Neto; Guilherme Barreto; Ricardo Jorge Sousa; Jaime Cardoso. "Diagnostic of pathology on the vertebral column with embedded reject option". 2011. Telmo Pinto; Jaime Cardoso; Gilson Giraldi; Ana Maria Rebelo. "Music score binarization based on domain knowledge". 2011. Jaime Cardoso; Filipe Magalhães; Hélder Filipe Oliveira; Helder Matos. "Hand Geometry Based Recognition System - A New Method with no Constraints on Image Acquisition". 2011. Ana Maria Rebelo; Ricardo Jorge Sousa; Jaime Cardoso. "Metric Learning for Music Symbol Recognition". 2011. André T. Magalhaes; António José Moura; Jaime Cardoso; Maria João Cardoso; Hélder Filipe Oliveira. "Aesthetic Evaluation After Mastectomy and Immediate Breast Reconstruction using the BCCT.core Software". 2011. Jaime Cardoso; Guido Baroni; Hélder Filipe Oliveira; Paolo Patete. "Development of a BCCT Quantitative 3D Evaluation System Through Low-Cost Solutions". 2011. Paulo Rodrigues; Gilson Giraldi; Jaime Cardoso; Luiz Neves; Luiz de Aquino; Diego Leite. "Surface Reconstruction for Generating Digital Models of Prosthesis". 2011. Telmo Afonso Oliveira; Pedro Miguel Carvalho; Jaime Cardoso; Lucian Ciobanu; Luís Corte Real. "An Integrated Tracking Approach to the Assessment of Object Description Models". 2011. Jaime Cardoso; André T. Magalhaes; Hélder Filipe Oliveira; João Soares; Anténio José Moura; Maria João Cardoso. "3D Model for Aesthetic Objective Evaluation after Breast Cancer Surgery using Infrared Laser Projector". 2011. Ricardo Jorge Sousa; Jaime Cardoso. "Ensemble of decision trees with global constraints for ordinal classification". 2011. Inês Campos Domingues; Jaime Cardoso. "Max-Coupled Ordinal Classification". 2011. Jaime Cardoso; Inês Campos Domingues. "Max-Coupled Learning: Application To Breast Cancer". 2011. Ricardo Sousa; Hélder Filipe Oliveira; Jaime Cardoso. "Feature selection with complexity measure in a quadratic programming setting". 2011. Hélder Filipe Oliveira; André T. Magalhães; Jaime Cardoso. "Kinect Based Method for the BCCT Quantitative 3D Evaluation". 2011. Pedro Miguel Carvalho; Jaime Cardoso; Luís Corte Real. "A Shortest Path Approach for Vibrating Line Detection and Tracking". 2011. Jaime Cardoso; Ricardo Jorge Sousa. "Aggregation of Decision Trees with Global Constraints for Ordinal Data". 2011. Ana Maria Rebelo; Jaime Cardoso. "Music Symbols Extraction Based on Domain Knowledge". 2011. Rebelo, A.; Tkaczuk, J.; Sousa, R.; Cardoso, J.S.. "Metric learning for music symbol recognition". 2011. 10.1109/icmla.2011.94 Cardoso, J.S.; Domingues, I.. "Max-coupled learning: Application to breast cancer". 2011. 10.1109/icmla.2011.93 Sousa, R.; Cardoso, J.S.. "Ensemble of decision trees with global constraints for ordinal classification". 2011. 10.1109/isda.2011.6121816 De Aquino, L.C.M.; Leite, D.A.T.Q.; Giraldi, G.A.; Cardoso, J.S.; Rodrigues, P.S.S.; Neves, L.A.P.. "Surface reconstruction for generating digital models of prosthesis". 2011. 10.5220/0003356601370142 Calado, P.; Gomes, R.; Nogueira, M. B.; Cardoso, J.; Teixeira, P.; Sujit, P. B.; Sousa, J. B.. "Obstacle Avoidance Using Echo Sounder Sonar". 2011. 10.1109/OCEANS-SPAIN.2011.6003585 Rebelo, Ana Maria Silva; Filipe Paszkiewicz; Carlos Guedes; Andre Marcal; Jaime S. Cardoso. "A method for music symbols extraction based on musical rules". Paper presented in BRIDGES, Coimbra, 2011. Published Jaime Cardoso; Ana Maria Rebelo. "Robust staffline thickness and distance estimation in binary and gray-level music scores". 2010. Hélder Filipe Oliveira; Jaime Cardoso; André Magalhães; Maria João Cardoso. "An accurate and interpretable model for BCCT.core". 2010. Hélder Filipe Oliveira; Jaime Cardoso; André Magalhães; Maria João Cardoso. "Improving the BCCT.core Model With Lateral Information". 2010. Ricardo Castro; Diamantino Freitas; Rui Araújo; Jaime Cardoso. "A New Linear Parametrisation for Peak Friction Coefficient Estimation in Real Time". 2010. Joaquim Costa; Ricardo Jorge Sousa; Jaime Cardoso. "An all-at-once Unimodal SVM Approach for Ordinal Classification". 2010. Jaime Cardoso; Ricardo Jorge Sousa; Andre Magalhaes; Maria João Cardoso; Susy Costa. "A Preliminary Model to the Automatic Prediction of Aesthetic Results in Breast Cancer Conservative Treatment". 2010. Ricardo Jorge Sousa; Jaime Cardoso. "An Ordinal Data Method for the Classification with Reject Option". 2010. Jaime Cardoso; Ricardo Jorge Sousa. "Classification Models with Global Constraints for Ordinal Data". 2010. Jakub Tkaczuk; Jaime Cardoso. "Microcalcification Detection in Full Field Mammograms". 2010. Ana Maria Rebelo; Jaime Cardoso. "Content aware music score pre-processing". 2010. Igor Amaral; Jaime Cardoso; Filipe Emanuel Coelho; Joaquim Pinto da Costa. "Hierarchical Medical Image Annotation Using SVM-based Approaches". 2010. Jaime Cardoso; Hélder Filipe Oliveira. "BCCT.core Model Enhancement With Interpretability and Lateral Information". 2010. Maria João Cardoso; Pedro Passarinho; Joao Santa Comba; Ricardo Correia; Inês Campos Domingues; Jaime Cardoso; Igor Amaral; Inês Moreira. "Pectoral muscle detection in mammograms based on the shortest path with endpoints learnt by SVMs". 2010. Inês Campos Domingues; Jaime Cardoso. "Multi-Source Automatic Breast Cancer Diagnosis". 2010. Ricardo Correia; Pedro Passarinho; Joao Santa Comba; Maria João Cardoso; Jaime Cardoso; Inês Campos Domingues; Igor Amaral; Inês Moreira. "Pectoral muscle detection in mammograms based on polar coordinates and the shortest path". 2010. Cardoso, J.S.; Rebelo, A.. "Robust staffline thickness and distance estimation in binary and gray-level music scores". 2010. 10.1109/icpr.2010.458 Oliveira, H.P.; Magalhães, A.; Cardoso, M.J.; Cardoso, J.S.. "Improving the BCCT.core model with lateral information". 2010. 10.1109/ITAB.2010.5687736 Amaral, I.F.; Coelho, F.; Da Costa, J.F.P.; Cardoso, J.S.. "Hierarchical medical image annotation using SVM-based approaches". 2010. 10.1109/ITAB.2010.5687655 Cardoso, J.S.; Sousa, R.. "Classification models with global constraints for ordinal data". 2010. 10.1109/ICMLA.2010.18 Pinto Da Costa, J.F.; Sousa, R.; Cardoso, J.S.. "An all-at-once unimodal SVM approach for ordinal classification". 2010. 10.1109/ICMLA.2010.16 Oliveira, H.P.; Magalhães, A.; Cardoso, M.J.; Cardoso, J.S.. "An accurate and interpretable model for BCCT.core". 2010. 10.1109/IEMBS.2010.5627778 De Castro, R.; Araujo, R.E.; Cardoso, J.S.; Freitas, D.. "A new linear parametrization for peak friction coefficient estimation in real time". 2010. 10.1109/vppc.2010.5729138 Domingues, I.; Cardoso, J.S.; Amaral, I.; Moreira, I.; Passarinho, P.; Comba, J.S.; Correia, R.; Cardoso, M.J.. "Pectoral muscle detection in mammograms based on the shortest path with endpoints learnt by SVMs". 2010. 10.1109/IEMBS.2010.5627168 Cardoso, J.S.; Domingues, I.; Amaral, I.; Moreira, I.; Passarinho, P.; Comba, J.S.; Correia, R.; Cardoso, M.J.. "Pectoral muscle detection in mammograms based on polar coordinates and the shortest path". 2010. 10.1109/IEMBS.2010.5626634 Jaime Cardoso. "Stable Text Line Detection". 2009. Ricardo Jorge Sousa; Jaime Cardoso. "An Ordinal Data Method for the Classification with Reject Option". 2009. Ana Paula Afonso; Manuel Pérez Cota; Jaime Cardoso; Maria João Cardoso. "A Avaliação da Usabilidade de um Sistema Médico Inteligente: BCCT.core". 2009. Jaime Cardoso; André Magalhães; Ricardo Jorge Sousa; Maria João Cardoso; Susy Costa. "Prediction Model of Asymmetry in Breast Cancer Conservative Treatment (BCCT)". 2009. Jaime Cardoso; Giuseppe Catanuto; Mike Dixon; Susy Costa; Maria João Cardoso; Alexandre M. Munhoz; Douglas Macmillan; et al. "Aesthetic Results Evaluation of Reduction Mammaplasties in Breast Cancer Treatment". 2009. Hélder Filipe Oliveira; Jaime Cardoso. "Image Retargeting Using Stable Paths". 2009. Jaime Cardoso; Maria João Cardoso; Ricardo Jorge Sousa; Luis Teixeira. "Breast Contour Detection with Stable Paths". 2009. Susy Costa; Maria João Cardoso; Ricardo Jorge Sousa; Jaime Cardoso. "Prediction of the aesthetic result in breast cancer conservative treatment". 2009. Sousa, R.; Mora, B.; Cardoso, J.S.. "An ordinal data method for the classification with reject option". 2009. 10.1109/ICMLA.2009.11 Oliveira, H.P.; Cardoso, J.S.. "Image retargeting using stable paths". 2009. 10.5220/0001785900400047 Afonso, A.P.; Cardoso, J.S.; Cardoso, M.J.; Cota, M.P.. "The evaluation of the usability of an intelligent medical system: BCCT.core \| A avaliação da usabilidade de um sistema médico inteligente: BCCT.core". 2009. Susy Costa; Ricardo Sousa; Jaime S. Cardoso; Maria J. Cardoso. "Predicting Breast Cancer Conservative Treatment Aesthetic Outcome". Paper presented in 2nd Interconference Breast Cancer Meeting, Sarajevo, 2009. Published Carlos Guedes; Jaime Cardoso; Guilherme Artur Capela; Ana Maria Rebelo. "A Connected Path Approach for Staff Detection on a Music Score". 2008. Filipe Emanuel Coelho; Jaime Cardoso; Luis Batista; Luis F. Teixeira. "Automatic System for the Recognition of Amounts in Handwritten Cheques". 2008. Jaime Cardoso; Filipe Emanuel Coelho; Ricardo Jorge Sousa; Maria João Cardoso; Teresa Almeida; Andre Magalhaes. "Is Asymmetry Enough for the Aesthetic Evaluation of Breast Cancer Conservative Treatment (BCCT)?". 2008. Ricardo Jorge Sousa; Jaime Cardoso; J. F. Pinto da Costa; Maria João Cardoso. "Breast Contour Detection with Shape Priors". 2008. Ana Maria Rebelo; Carlos Guedes; Jaime Cardoso; Guilherme Artur Capela. "Staff Line Detection and Removal with Stable Paths". 2008. Guilherme Artur Capela; Carlos Guedes; Jaime Cardoso; Ana Maria Rebelo. "Integrated Recognition System for Music Scores". 2008. Maria J. Cardoso; Jaime Cardoso. "Automatic Breast Contour Detection in Digital Photographs". 2008. Sousa, R.; Cardoso, J.S.; Da Costa, J.F.P.; Cardoso, M.J.. "Breast contour detection with shape priors". 2008. 10.1109/icip.2008.4712036 Cardoso, J.S.; Capela, A.; Rebelo, A.; Guedes, C.. "A connected path approach for staff detection on a music score". 2008. 10.1109/icip.2008.4711927 Capela, A.; Rebelo, A.; Cardoso, J.S.; Guedes, C.. "Staff line detection and removal with stable paths". 2008. 10.5220/0001937802630270 Coelho, F.; Batista, L.; Teixeira, L.F.; Cardoso, J.S.. "Automatic system for the recognition of amounts in handwritten cheques". 2008. 10.5220/0001937303200324 Capela, A.; Cardoso, J.S.; Rebelo, A.; Guedes, C.. "Integrated recognition systemfor music scores". 2008. Cardoso, J.S.; Teixeira, L.F.; Cardoso, M.J.. "Automatic breast contour detection in digital photographs". 2008. Jaime Cardoso; Jorge Carlos Cardoso; Luís Corte Real. "Object-Based Spatial Segmentation of Video Guided by Depth and Motion Information". 2007. Jaime Cardoso. "Bandwidth-efficient byte stuffing". 2007. Jaime Cardoso; Maria João Cardoso. "Breast Contour Detection for the Aesthetic Evaluation of Breast Cancer Conservative Treatment". 2007. Jaime Cardoso; Joaquim Pinto da Costa; Ana Maria Rebelo; Carlos Guedes; Guilherme Artur Capela; Eurico Carrapatoso. "A Shortest Path Approach for Staff Line Detection". 2007. Cardoso, J.S.; Cardoso, J.C.S.; Corte-Real, L.. "Object-based spatial segmentation of video guided by depth and motion information". 2007. 10.1109/WMVC.2007.31 Cardoso, J.S.. "Bandwidth-efficient byte stuffing". 2007. 10.1109/ICC.2007.1022 Rebelo, A.; Guedes, C.; Capela, A.; Carrapatoso, E.; Pinto Da Costa, J.F.; Cardoso, J.S.. "A shortest path approach for staff line detection". 2007. 10.1109/AXMEDIS.2007.16 Jaime Cardoso; Luís Gustavo Martins; Emmanouil Benetos; Constantine Kotropoulos; Margarita Kotti. "Automatic Speaker Segmentation Using Multiple Features and Distance Measures: A Comparison of Three Approaches". 2006. Kotti, M.; Martins, L.G.P.M.; Benetos, E.; Cardoso, J.S.; Kotropoulos, C.. "Automatic speaker segmentation using multiple features and distance measures: A comparison of three approaches". 2006. 10.1109/icme.2006.262727 Jaime Cardoso; Joaquim Pinto da Costa; Maria João Cardoso. "SVMs Applied to Objective Aesthetic Evaluation of Conservative Breast Cancer Treatment". 2005. Jaime Cardoso; Joaquim Pinto da Costa. "Classification of Ordinal Data Using Neural Networks". 2005. Cardoso, J.S.; Da Costa, J.F.P.; Cardoso, M.J.. "SVMs applied to objective aesthetic evaluation of conservative breast cancer treatment". 2005. 10.1109/ijcnn.2005.1556292 F. Hericourt; M. Koppetz; T. Erseghe; Jaime Cardoso; Paul Walland; G. Thomas. "The Application of Intimate Metadata in Post Production". 2002. Jaime Cardoso; Phillip Tomé; Sérgio Cunha; Luisa Bastos; Telmo Cunha. "Utilização de DGPS para a Monitorização de Frotas em Ambiente Urbano". 1999.
Conference poster	Ricardo P. M. Cruz; Cardoso, Jaime. "Ordinal Methods for Monocular Depth Estimation". Paper presented in Portuguese Conference on Pattern Recognition (RECPAD), 2025. MAMEDE, RAFAEL; Mafalda Oliveira; Neto, Pedro C.; Ana F. Sequeira; Jaime S. Cardoso. Corresponding author: MAMEDE, RAFAEL. "Latent Noise Augmentation: On the applicability of noise as an augmentation in the latent space.". Paper presented in RECPAD, 2022.
Edited book	Reyes, M; Abreu, PH; Cardoso, JS, ed. Interpretability of Machine Intelligence in Medical Image Computing - 5th International Workshop, iMIMIC 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings. 2022. Tucker, A; Abreu, PH; Cardoso, JS; Rodrigues, PP; Riaño, D, ed. Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15-18, 2021, Proceedings. 2021. Tucker, A; Abreu, PH; Cardoso, JS; Rodrigues, PP; Riaño, D, ed. Artificial Intelligence in Medicine - 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15-18, 2021, Proceedings. 2021. Reyes, M; Abreu, PH; Cardoso, JS; Hajij, M; Zamzmi, G; Paul, R; Thakur, L, ed. Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. 2021. Cardoso, JS; Nguyen, HV; Heller, N; Abreu, PH; Isgum, I; Silva, W; Cruz, R; et al, ed. Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. 2020. Cardoso, MJ; Arbel, T; Carneiro, G; Syeda Mahmood, TF; Tavares, JMRS; Moradi, M; Bradley, AP; et al, ed. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. 2017. Carneiro, G; Mateus, D; Peter, L; Bradley, A; Tavares, JMRS; Belagiannis, V; Papa, JP; et al, ed. Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. 2016. 10.1007/978-3-319-46976-8 Bifet, A; May, M; Zadrozny, B; Gavaldà, R; Pedreschi, D; Bonchi, F; Cardoso, JS; Spiliopoulou, M, ed. Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III. 2015. 10.1007/978-3-319-23461-8
Journal article	Ricardo P. M. Cruz; Cardoso, Jaime. "Consistency-Preserving and Unimodality-Promoting Ensembles for Ordinal Classification". IEEE Transactions on Pattern Analysis and Machine Intelligence (2026): Under revision Cristiano Patrício; Isabel Rio-Torto; Jaime S. Cardoso; Luís F. Teixeira; João C. Neves. "CBVLM: Training-free explainable concept-based Large Vision Language Models for medical image classification". Computers in Biology and Medicine (2025): https://doi.org/10.1016/j.compbiomed.2025.111145. 10.1016/j.compbiomed.2025.111145 Jaime S. Cardoso; Ricardo P. M. Cruz; Tomé Albuquerque. "Unimodal Distributions for Ordinal Regression". IEEE Transactions on Artificial Intelligence (2025): https://doi.org/10.1109/TAI.2025.3549740. 10.1109/TAI.2025.3549740 Pascal Klöckner; José Teixeira; Diana Montezuma; João Fraga; Hugo M. Horlings; Jaime S. Cardoso; Sara P. Oliveira. "H&E to IHC virtual staining methods in breast cancer: an overview and benchmarking". npj Digital Medicine (2025): http://dx.doi.org/10.1038/s41746-025-01741-9. 10.1038/s41746-025-01741-9 João D. Nunes; Diana Montezuma; Domingos Oliveira; Tania Pereira; Inti Zlobec; Isabel Macedo Pinto; Jaime S. Cardoso. "Bridging Domain Gaps in Computational Pathology: A Comparative Study of Adaptation Strategies". Sensors (2025): https://www.mdpi.com/1424-8220/25/9/2856. 10.3390/s25092856 João D. Nunes; Diana Montezuma; Domingos Oliveira; Tania Pereira; Jaime S. Cardoso. "A survey on cell nuclei instance segmentation and classification: Leveraging context and attention". Medical Image Analysis (2025): https://doi.org/10.1016/j.media.2024.103360. 10.1016/j.media.2024.103360 Javier Barbero-Gómez; Ricardo P.M. Cruz; Jaime S. Cardoso; Pedro A. Gutiérrez; César Hervás-Martínez. "CNN explanation methods for ordinal regression tasks". Neurocomputing (2025): https://doi.org/10.1016/j.neucom.2024.128878. 10.1016/j.neucom.2024.128878 Francisco Caetano; Pedro Carvalho; Christina Mastralexi; Jaime S. Cardoso. "Enhancing Weakly-Supervised Video Anomaly Detection With Temporal Constraints". IEEE Access (2025): https://doi.org/10.1109/ACCESS.2025.3560767. 10.1109/ACCESS.2025.3560767 Ricardo P. M. Cruz; Rafael Cristino; Jaime S. Cardoso. "Learning Ordinality in Semantic Segmentation". IEEE Access (2025): https://doi.org/10.1109/ACCESS.2025.3537601. 10.1109/ACCESS.2025.3537601 Helena Montenegro; Jaime S. Cardoso. "Leveraging Cold Diffusion for the Decomposition of Identically Distributed Superimposed Images". IEEE Open Journal of Signal Processing (2025): https://doi.org/10.1109/OJSP.2025.3583963. 10.1109/OJSP.2025.3583963 Leonardo Capozzi; Jaime S. Cardoso; Ana Rebelo. "End-to-End Occluded Person Re-Identification With Artificial Occlusion Generation". IEEE Access (2025): https://doi.org/10.1109/ACCESS.2025.3600385. 10.1109/ACCESS.2025.3600385 Helena Montenegro; Jaime S. Cardoso. "Anonymizing medical case-based explanations through disentanglement". Medical Image Analysis (2024): https://doi.org/10.1016/j.media.2024.103209. 10.1016/j.media.2024.103209 Pedro C. Neto; Diana Montezuma; Sara P. Oliveira; Domingos Oliveira; João Fraga; Ana Monteiro; João Monteiro; et al. "Author Correction: An interpretable machine learning system for colorectal cancer diagnosis from pathology slides". npj Precision Oncology (2024): https://doi.org/10.1038/s41698-024-00581-2. 10.1038/s41698-024-00581-2 Celso Pereira; Ricardo Cruz; João N. D. Fernandes; Pinto, João Ribeiro; Jaime S. Cardoso. Corresponding author: Celso Pereira. "Weather and Meteorological Optical Range Classification for Autonomous Driving". IEEE Transactions on Intelligent Vehicles (2024): In press • 10.1109/TIV.2024.3387113 Pedro C. Neto; Diana Montezuma; Sara P. Oliveira; Domingos Oliveira; João Fraga; Ana Monteiro; João Monteiro; et al. "An interpretable machine learning system for colorectal cancer diagnosis from pathology slides". npj Precision Oncology (2024): https://doi.org/10.1038/s41698-024-00539-4. 10.1038/s41698-024-00539-4 Caio Nogueira; Luís Fernandes; João N. D. Fernandes; Jaime S. Cardoso. "Explaining Bounding Boxes in Deep Object Detectors Using Post Hoc Methods for Autonomous Driving Systems". Sensors (2024): https://doi.org/10.3390/s24020516. 10.3390/s24020516 Luís Emanuel Pereira Pinto Fernandes; João Fernandes; Mariana Calado; João Ribeiro Pinto; Ricardo Cerqueira; Jaime S. Cardoso. "Intrinsic Explainability for End-to-End Object Detection". IEEE Access (2024): http://dx.doi.org/10.1109/access.2023.3347038. 10.1109/access.2023.3347038 Francisco S. F. Ribeiro; Paulo J. V. Garcia; Miguel Silva; Jaime S. Cardoso. "Space Imaging Point Source Detection and Characterization". IEEE Access (2024): https://doi.org/10.1109/ACCESS.2024.3420217. 10.1109/ACCESS.2024.3420217 Eduarda Caldeira; Pedro C. Neto; Tiago Gonçalves; Naser Damer; Ana F. Sequeira; Jaime S. Cardoso. "Disentangling Morphed Identities for Face Morphing Detection". Science Talks 10 (2024): 100331-100331. https://www.sciencedirect.com/science/article/pii/S2772569324000392. https://doi.org/10.1016/j.sctalk.2024.100331 Victor Manuel Alves; Jaime dos Santos Cardoso; João Gama. "Classification of Pulmonary Nodules in 2-[18F]FDG PET/CT Images with a 3D Convolutional Neural Network". Nuclear Medicine and Molecular Imaging (2023): https://doi.org/10.1007/s13139-023-00821-6. 10.1007/s13139-023-00821-6 Nuno Freitas; Daniel Silva; Carlos Mavioso; Maria J. Cardoso; Jaime S. Cardoso. "Deep Edge Detection Methods for the Automatic Calculation of the Breast Contour". Bioengineering (2023): https://doi.org/10.3390/bioengineering10040401. 10.3390/bioengineering10040401 Ricardo Cruz; Diana Teixeira e Silva; Tiago Gonçalves; Diogo Carneiro; Jaime S. Cardoso. "Two-Stage Framework for Faster Semantic Segmentation". Sensors (2023): https://doi.org/10.3390/s23063092. 10.3390/s23063092 Castro, E; Pereira, JC; Cardoso, JS. "Symmetry-based regularization in deep breast cancer screening". MEDICAL IMAGE ANALYSIS (2023): 10.1016/j.media.2022.102690 Albuquerque, T; Rosado, L; Cruz, R; Vasconcelos, MJM; Oliveira, T; Cardoso, JS. "Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods". Intelligent Systems with Applications (2023): 10.1016/j.iswa.2022.200170 Neto, PC; Montezuma, D; de Oliveira, SP; Oliveira, D; Fraga, J; Monteiro, A; Monteiro, JC; et al. "A CAD System for Colorectal Cancer from WSI: A Clinically Validated Interpretable ML-based Prototype". CoRR (2023): Montezuma, D; Oliveira, SP; Neto, PC; Oliveira, D; Monteiro, A; Cardoso, JS; Macedo Pinto, I. "Annotating for Artificial Intelligence Applications in Digital Pathology: A Practical Guide for Pathologists and Researchers". Modern Pathology (2023): 10.1016/j.modpat.2022.100086 Neto, PC; Caldeira, E; Cardoso, JS; Sequeira, AF. "Compressed Models Decompress Race Biases: What Quantized Models Forget for Fair Face Recognition". CoRR (2023): Graham, S; Vu, QD; Jahanifar, M; Weigert, M; Schmidt, U; Zhang, W; Zhang, J; et al. "CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting". CoRR (2023): Kaidar Person, O; Antunes, M; Cardoso, S; Ciani, O; Cruz, H; Di Micco, R; Gentilini, D; et al. "Evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in improving patient's satisfaction with therapy: The CINDERELLA trial". PloS one (2023): 10.1371/journal.pone.0289365 Cardoso, JS; Cruz, R; Albuquerque, T. "Unimodal Distributions for Ordinal Regression". CoRR (2023): Oliveira, SP; Montezuma, D; Moreira, A; Oliveira, D; Neto, PC; Monteiro, A; Monteiro, J; et al. "A CAD system for automatic dysplasia grading on H&E cervical whole-slide images". SCIENTIFIC REPORTS (2023): 10.1038/s41598-023-30497-z Carneiro, AMC; Alves, AFC; Coelho, RPC; Cardoso, JS; Pires, FMA. "A simple machine learning-based framework for faster multi-scale simulations of path-independent materials at large strains". FINITE ELEMENTS IN ANALYSIS AND DESIGN (2023): 10.1016/j.finel.2023.103956 Francisco Caetano; Pedro Carvalho; Jaime Cardoso. "Deep Anomaly Detection for In-Vehicle Monitoring—An Application-Oriented Review". Applied Sciences (2022): https://doi.org/10.3390/app121910011. 10.3390/app121910011 Pedro C. Neto; Sara P. Oliveira; Diana Montezuma; João Fraga; Ana Monteiro; Liliana Ribeiro; Sofia Gonçalves; Isabel M. Pinto; Jaime S. Cardoso. "iMIL4PATH: A Semi-Supervised Interpretable Approach for Colorectal Whole-Slide Images". Cancers (2022): https://doi.org/10.3390/cancers14102489. 10.3390/cancers14102489 Diogo Pernes; Jaime S. Cardoso. "Tackling unsupervised multi-source domain adaptation with optimism and consistency". Expert Systems with Applications 194 (2022): 116486-116486. https://doi.org/10.1016/j.eswa.2021.116486. 10.1016/j.eswa.2021.116486 Tomé Albuquerque; Ricardo Cruz; Jaime S. Cardoso. "Quasi-Unimodal Distributions for Ordinal Classification". Mathematics (2022): https://doi.org/10.3390/math10060980. 10.3390/math10060980 Joao D. Nunes; Marcelo Carvalho; Diogo Carneiro; Jaime S. Cardoso. "Spiking Neural Networks: A Survey". IEEE Access (2022): https://doi.org/10.1109/ACCESS.2022.3179968. 10.1109/ACCESS.2022.3179968 Neto, PC; Gonçalves, T; Pinto, JR; Silva, W; Sequeira, AF; Ross, A; Cardoso, JS. "Explainable Biometrics in the Age of Deep Learning". CoRR (2022): Pham, M; Alzul, R; Elder, E; French, J; Cardoso, J; Kaviani, A; Meybodi, F. "Evaluation of Vectra (R) XT 3D Surface Imaging Technology in Measuring Breast Symmetry and Breast Volume". AESTHETIC PLASTIC SURGERY (2022): 10.1007/s00266-022-03087-z Helena Montenegro; Wilson Silva; Alex Gaudio; Matt Fredrikson; Asim Smailagic; Jaime S. Cardoso. "Privacy-Preserving Case-Based Explanations: Enabling Visual Interpretability by Protecting Privacy". IEEE Access 10 (2022): 28333-28347. https://doi.org/10.1109/ACCESS.2022.3157589. 10.1109/ACCESS.2022.3157589 Tiago Goncalves; Isabel Rio-Torto; Luis F. Teixeira; Jaime S. Cardoso; Gonçalves, T; Torto, IR; Teixeira, LF; Cardoso, JS. "A Survey on Attention Mechanisms for Medical Applications: are we Moving Toward Better Algorithms?". IEEE Access (2022): https://doi.org/10.1109/ACCESS.2022.3206449. 10.1109/ACCESS.2022.3206449 Beco, SC; Pinto, JR; Cardoso, JS. "Electrocardiogram lead conversion from single-lead blindly-segmented signals". BMC MEDICAL INFORMATICS AND DECISION MAKING (2022): 10.1186/s12911-022-02063-6 Costa, P; Fu, Y; Nunes, J; Campilho, A; Cardoso, JS. "Colon Nuclei Instance Segmentation using a Probabilistic Two-Stage Detector". CoRR (2022): Gouveia, Pedro F.; Oliveira, Helder P.; Monteiro, Joao P.; Teixeira, Joao F.; Silva, Nuno L.; Pinto, David; Mavioso, Carlos; et al. "3D Breast Volume Estimation". European Surgical Research (2022): https://publons.com/wos-op/publon/50890721/. 10.1159/000516357 Neto, Pedro C.; Gonclves, Tiago; Huber, Marco; Damer, Naser; Sequeira, Ana F.; Cardoso, Jaime S.. "OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement". PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE OF THE BIOMETRICS SPECIAL INTEREST GROUP (BIOSIG) (2022): https://publons.com/wos-op/publon/54174230/. 10.1109/BIOSIG55365.2022.9897057 Pedro C. Pedro Neto; Joao Ribeiro Pinto; Fadi Boutros; Naser Damer; Ana F. Sequeira; Jaime S. Cardoso. "Beyond Masks: On the Generalization of Masked Face Recognition Models to Occluded Face Recognition". IEEE Access (2022): https://doi.org/10.1109/ACCESS.2022.3199014. 10.1109/ACCESS.2022.3199014 Neto, PC; Sequeira, AF; Cardoso, JS; Terhörst, P. "PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition". CoRR (2022): 10.1109/cvprw59228.2023.00109 Leonardo Capozzi; Vitor Barbosa; Carolina Pinto; Joao Ribeiro Pinto; Americo Pereira; Pedro M. Carvalho; Jaime S. Cardoso. "Toward Vehicle Occupant-Invariant Models for Activity Characterization". IEEE Access (2022): https://doi.org/10.1109/ACCESS.2022.3210973. 10.1109/ACCESS.2022.3210973 Silva, W; Goncalves, T; Harma, K; Schroder, E; Obmann, VC; Barroso, MC; Poellinger, A; Reyes, M; Cardoso, JS. "Computer-aided diagnosis through medical image retrieval in radiology". SCIENTIFIC REPORTS (2022): 10.1038/s41598-022-25027-2 de Oliveira, Marcela [UNESP]; Piacenti-Silva, Marina [UNESP]; da Rocha, Fernando Coronetti Gomes [UNESP]; Santos, Jorge Manuel; Cardoso, Jaime Dos Santos; Lisboa-Filho, Paulo Noronha [UNESP]; Marcela de Oliveira; et al. "Lesion Volume Quantification Using Two Convolutional Neural Networks in MRIs of Multiple Sclerosis Patients". Diagnostics 12 2 (2022): 230-230. http://hdl.handle.net/11449/230246. https://doi.org/http://dx.doi.org/10.3390/diagnostics12020230 Ana F. Sequeira; Tiago Gonçalves; Wilson Silva; João Ribeiro Pinto; Jaime S. Cardoso. "An exploratory study of interpretability for face presentation attack detection". IET Biometrics 10 4 (2021): 441-455. https://doi.org/10.1049/bme2.12045. 10.1049/bme2.12045 António Pinto; Sebastian Böck; Jaime Cardoso; Matthew Davies. "User-Driven Fine-Tuning for Beat Tracking". Electronics 10 13 (2021): 1518-1518. https://doi.org/10.3390/electronics10131518. 10.3390/electronics10131518 Fábio Azevedo; Jaime S. Cardoso; André Ferreira; Tiago Fernandes; Miguel Moreira; Luís Campos. "Efficient Reactive Obstacle Avoidance Using Spirals for Escape". Drones 5 2 (2021): 51-51. https://doi.org/10.3390/drones5020051. 10.3390/drones5020051 Pedro Costa; Asim Smailagic; Jaime Cardoso; Aurélio Campilho. "Epistemic and Heteroscedastic Uncertainty Estimation in Retinal Blood Vessel Segmentation". U.Porto Journal of Engineering (2021): https://doi.org/10.24840/2183-6493_007.003_0008. 10.24840/2183-6493_007.003_0008 Mohsen Saffari; Mahdi Khodayar; Mohammad Saeed Ebrahimi Saadabadi; Ana F. Sequeira; Jaime S. Cardoso. "Maximum Relevance Minimum Redundancy Dropout with Informative Kernel Determinantal Point Process". Sensors 21 5 (2021): 1846-1846. https://doi.org/10.3390/s21051846. 10.3390/s21051846 Helder F. Castro; Jaime S. Cardoso; Maria T. Andrade. "A Systematic Survey of ML Datasets for Prime CV Research Areas—Media and Metadata". Data 6 2 (2021): 12-12. https://doi.org/10.3390/data6020012. 10.3390/data6020012 Allahdadi, A; Pernes, D; Cardoso, JS; Morla, R. "Hidden Markov models on a self-organizing map for anomaly detection in 802.11 wireless networks". NEURAL COMPUTING & APPLICATIONS (2021): 10.1007/s00521-020-05627-7 Helena Montenegro; Wilson Silva; Jaime S. Cardoso. "Privacy-Preserving Generative Adversarial Network for Case-Based Explainability in Medical Image Analysis". IEEE Access 9 (2021): 148037-148047. https://doi.org/10.1109/ACCESS.2021.3124844. 10.1109/ACCESS.2021.3124844 Esteves, T; Pinto, JR; Ferreira, PM; Costa, PA; Rodrigues, LA; Antunes, I; Lopes, G; et al. "AUTOMOTIVE: A Case Study on AUTOmatic multiMOdal Drowsiness detecTIon for smart VEhicles". IEEE ACCESS (2021): 10.1109/access.2021.3128016 Albuquerque, T; Cruz, R; Cardoso, JS. "Ordinal losses for classification of cervical cancer risk". PEERJ COMPUTER SCIENCE (2021): 10.7717/peerj-cs.457 Oliveira, SP; Neto, PC; Fraga, J; Montezuma, D; Monteiro, A; Monteiro, J; Ribeiro, L; et al. "CAD systems for colorectal cancer from WSI are still not ready for clinical acceptance". SCIENTIFIC REPORTS (2021): 10.1038/s41598-021-93746-z Helena Montenegro; Wilson Silva; Jaime S. Cardoso. "Privacy-Preserving Generative Adversarial Network for Case-Based Explainability in Medical Image Analysis". IEEE Access 9 (2021): 148037-148047. https://doi.org/10.1109/ACCESS.2021.3124844. 10.1109/ACCESS.2021.3124844 Esteves, T; Pinto, JR; Ferreira, PM; Costa, PA; Rodrigues, LA; Antunes, I; Lopes, G; et al. "AUTOMOTIVE: A Case Study on AUTOmatic multiMOdal Drowsiness detecTIon for smart VEhicles". IEEE ACCESS (2021): 10.1109/access.2021.3128016 Albuquerque, T; Cruz, R; Cardoso, JS. "Ordinal losses for classification of cervical cancer risk". PEERJ COMPUTER SCIENCE (2021): 10.7717/peerj-cs.457 Oliveira, SP; Neto, PC; Fraga, J; Montezuma, D; Monteiro, A; Monteiro, J; Ribeiro, L; et al. "CAD systems for colorectal cancer from WSI are still not ready for clinical acceptance". SCIENTIFIC REPORTS (2021): 10.1038/s41598-021-93746-z Montenegro, H; Silva, W; Cardoso, JS. "Towards Privacy-preserving Explanations in Medical Image Analysis". CoRR (2021): Botto, J.; Martins, S.; Moreira, E.; Silva Cardoso, J.; Fernandes, L.. "The magnitude of depression in heart failure patients and its association with NYHA class". European Psychiatry (2021): https://publons.com/wos-op/publon/54994092/. 10.1192/J.EURPSY.2021.918 Costa, F.; Martins, S.; Moreira, E.; Silva Cardoso, J.; Fernandes, L.. "Anxiety in heart failure patients and its association with NYHA class". European Psychiatry (2021): https://publons.com/wos-op/publon/54994091/. 10.1192/J.EURPSY.2021.503 Gouveia, Pedro; Oliveira, Hélder P.; Monteiro, João P.; Teixeira, João F.; Silva, Nuno L.; Pinto, David; Mavioso, Carlos; et al. "3D breast volume estimation". (2021): http://hdl.handle.net/10451/49500. 10.1159/000516357 Esteves, Telma; Pinto, João Ribeiro; Ferreira, Pedro M.; Costa, Pedro Amaro; Rodrigues, Lourenço Abrunhosa; Antunes, Inês; Lopes, Gabriel; et al. "AUTOMOTIVE: a case study on AUTOmatic multiMOdal drowsiness detecTIon for smart VEhicles". (2021): http://hdl.handle.net/10400.21/14081. 10.1109/ACCESS.2021.3128016 Pinto, António; Böck, Sebastian; Cardoso, Jaime; Davies, Matthew. "User-Driven Fine-Tuning for Beat Tracking". (2021): http://hdl.handle.net/10316/95810. https://doi.org/10.3390/electronics10131518 Esteves, Telma; Pinto, João Ribeiro; Ferreira, Pedro M.; Costa, Pedro Amaro; Rodrigues, Lourenço Abrunhosa; Antunes, Inês; Lopes, Gabriel; et al. "AUTOMOTIVE". (2021): http://hdl.handle.net/10362/142597. https://doi.org/10.1109/ACCESS.2021.3128016 Pedro Manuel Santos Ribeiro; Ana Clara Matos; Pedro Henrique Santos; Jaime S. Cardoso. "Machine Learning Improvements to Human Motion Tracking with IMUs". Sensors (2020): https://doi.org/10.3390/s20216383. 10.3390/s20216383 Tiago Gonçalves; Wilson Silva; Maria J. Cardoso; Jaime S. Cardoso. "Deep Image Segmentation for Breast Keypoint Detection". Proceedings 54 1 (2020): 35-35. https://doi.org/10.3390/proceedings2020054035. 10.3390/proceedings2020054035 Sara P. Oliveira; João Ribeiro Pinto; Tiago Gonçalves; Rita Canas-Marques; Maria-João Cardoso; Hélder P. Oliveira; Jaime S. Cardoso. "Weakly-Supervised Classification of HER2 Expression in Breast Cancer Haematoxylin and Eosin Stained Slides". Applied Sciences 10 14 (2020): 4728-4728. https://doi.org/10.3390/app10144728. 10.3390/app10144728 Carlos Mavioso; Ricardo J. Araújo; Hélder P. Oliveira; João C. Anacleto; Maria Antónia Vasconcelos; David Pinto; Pedro F. Gouveia; et al. "Automatic detection of perforators for microsurgical reconstruction". The Breast 50 (2020): 19-24. https://doi.org/10.1016/j.breast.2020.01.001. 10.1016/j.breast.2020.01.001 Sílvia Bessa; Pedro F. Gouveia; Pedro H. Carvalho; Cátia Rodrigues; Nuno L. Silva; Fátima Cardoso; Jaime S. Cardoso; Hélder P. Oliveira; Maria João Cardoso. "3D digital breast cancer models with multimodal fusion algorithms". The Breast 49 (2020): 281-290. https://doi.org/10.1016/j.breast.2019.12.016. 10.1016/j.breast.2019.12.016 Joana Silva; Ines Sousa; Jaime S. Cardoso. "Fusion of Clinical, Self-Reported, and Multisensor Data for Predicting Falls". IEEE Journal of Biomedical and Health Informatics 24 1 (2020): 50-56. https://doi.org/10.1109/JBHI.2019.2951230. 10.1109/jbhi.2019.2951230 Cardoso, JS; Silva, W; Cardoso, MJ. "Evolution, current challenges, and future possibilities in the objective assessment of aesthetic outcome of breast cancer locoregional treatment". Breast (2020): 10.1016/j.breast.2019.11.006 Schaffter, T; Buist, DSM; Lee, CI; Nikulin, Y; Ribli, D; Guan, Y; Lotter, W; et al. "Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms". JAMA NETWORK OPEN (2020): 10.1001/jamanetworkopen.2020.0265 Silva, J; Gomes, D; Sousa, I; Cardoso, JS. "Automated Development of Custom Fall Detectors: Position, Model and Rate Impact in Performance". IEEE SENSORS JOURNAL (2020): 10.1109/jsen.2020.2970994 Martins, J; Cardoso, JS; Soares, F. "Offline computer -aided diagnosis for Glaucoma detection using fundus images targeted at mobile devices". COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020): 10.1016/j.cmpb.2020.105341 Pinto, JR; Correia, MV; Cardoso, JS. "Secure Triplet Loss: Achieving Cancelability and Non-Linkability in End-to-End Deep Biometrics". IEEE Transactions on Biometrics, Behavior, and Identity Science (2020): 10.1109/tbiom.2020.3046620 Goncalves, T; Silva, W; Cardoso, MJ; Cardoso, JS. "A novel approach to keypoint detection for the aesthetic evaluation of breast cancer surgery outcomes". HEALTH AND TECHNOLOGY (2020): 10.1007/s12553-020-00423-8 Allahdadi, A; Morla, R; Cardoso, JS. "802.11 wireless simulation and anomaly detection using HMM and UBM". SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL (2020): 10.1177/0037549720958480 Pernes, D; Cardoso, JS. "Tackling unsupervised multi-source domain adaptation with optimism and consistency". CoRR (2020): Gouveia, P.; Bessa, S.; Oliveira, H.; Batista, E.; Aleluia, M.; Ip, J.; Costa, J.; et al. "A Breast 3D model as a possible tool for non-invasive tumour localization in breast surgery". European Journal of Cancer (2020): https://publons.com/wos-op/publon/38066105/. 10.1016/S0959-8049(20)30736-X Oliveira, Sara P.; Pinto, João Ribeiro; Gonçalves, Tiago; Canas-Marques, Rita; Cardoso, Maria João; Oliveira, Hélder P.; Cardoso, Jaime S.. "Weakly-supervised classification of HER2 expression in breast cancer haematoxylin and eosin stained slides". (2020): http://hdl.handle.net/10362/103269. https://doi.org/10.3390/app10144728 Bessa, Sílvia; Gouveia, Pedro F.; Carvalho, Pedro H.; Rodrigues, Cátia; Silva, Nuno L.; Cardoso, Fátima; Cardoso, Jaime S.; Oliveira, Hélder P.; Cardoso, Maria João. "3D digital breast cancer models with multimodal fusion algorithms". (2020): http://hdl.handle.net/10362/147519. https://doi.org/10.1016/j.breast.2019.12.016 Diogo V. Carvalho; Eduardo M. Pereira; Jaime S. Cardoso. "Machine Learning Interpretability: A Survey on Methods and Metrics". Electronics (2019): https://doi.org/10.3390/electronics8080832. 10.3390/electronics8080832 Diogo Pernes; Kelwin Fernandes; Jaime S. Cardoso. "Directional Support Vector Machines". Applied Sciences (2019): https://www.mdpi.com/2076-3417/9/4/725. 10.3390/app9040725 Silveira, CS; Cardoso, JS; Lourenco, AL; Ahlstrom, C. "Importance of subject-dependent classification and imbalanced distributions in driver sleepiness detection in realistic conditions". IET INTELLIGENT TRANSPORT SYSTEMS (2019): 10.1049/iet-its.2018.5284 Araujo, RJ; Fernandes, K; Cardoso, JS. "Sparse Multi-Bending Snakes". IEEE TRANSACTIONS ON IMAGE PROCESSING (2019): 10.1109/TIP.2019.2902832 Pedro M. Ferreira; Diogo Pernes; Ana Rebelo; Jaime S. Cardoso. "DeSIRe: Deep Signer-Invariant Representations for Sign Language Recognition". IEEE Transactions on Systems, Man, and Cybernetics: Systems (2019): https://doi.org/10.1109/TSMC.2019.2957347. 10.1109/TSMC.2019.2957347 Carneiro, G.; Manuel, J.; Tavares, R.S.; Bradley, A.P.; Papa, J.P.; Nascimento, J.C.; Cardoso, J.S.; Lu, Z.; Belagiannis, V.. "Editorial". Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization 7 3 (2019): 241-241. http://www.scopus.com/inward/record.url?eid=2-s2.0-85065792154&partnerID=MN8TOARS. 10.1080/21681163.2019.1594056 Prates, RM; Cruz, R; Marotta, AP; Ramos, RP; Simas Filho, EF; Cardoso, JS. "Insulator visual non-conformity detection in overhead power distribution lines using deep learning". COMPUTERS & ELECTRICAL ENGINEERING (2019): 10.1016/j.compeleceng.2019.08.001 Ferreira, PM; Pernes, D; Rebelo, A; Cardoso, JS. "DeSIRe: Deep Signer-Invariant Representations for Sign Language Recognition". IEEE Transactions on Systems, Man, and Cybernetics: Systems (2019): 10.1109/tsmc.2019.2957347 Ferreira, Pedro M.; Sequeira, Ana F.; Pernes, Diogo; Rebelo, Ana; Cardoso, Jaime S.. "Adversarial learning for a robust iris presentation attack detection method against unseen attack presentations". PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE OF THE BIOMETRICS SPECIAL INTEREST GROUP (BIOSIG) (2019): https://publons.com/wos-op/publon/54994099/. Araújo, RJ; Fernandes, K; Cardoso, JS. "Sparse Multi-Bending Snakes". IEEE Trans. Image Process. (2019): Pernes, D; Cardoso, JS. "SpaMHMM: Sparse Mixture of Hidden Markov Models for Graph Connected Entities". CoRR (2019): Morla, RS; Cruz, R; Marotta, AP; Ramos, RP; Simas Filho, EF; Cardoso, JS. "Insulator visual non-conformity detection in overhead power distribution lines using deep learning". Comput. Electr. Eng. (2019): Carneiro, G; Tavares, JMRS; Bradley, AP; Papa, JP; Nascimento, JC; Cardoso, JS; Lu, Z; Belagiannis, V. "Editorial". Comp. Meth. in Biomech. and Biomed. Eng.: Imaging & Visualization (2019): Pinto, Joao Ribeiro; Cardoso, Jaime S.. "An End-to-End Convolutional Neural Network for ECG-Based Biometric Authentication". IEEE 9TH INTERNATIONAL CONFERENCE ON BIOMETRICS THEORY, APPLICATIONS AND SYSTEMS (BTAS) (2019): https://publons.com/wos-op/publon/19647964/. Cardoso, Jaime S.; Rebelo, Ana; Capela, Artur; Guedes, Carlos; Costa, Joaquim Pinto da. "Staff detection with stable paths". (2019): Cardoso, J. S., Capela, A., Rebelo, A., Guedes, C., & Costa, J. F. P. (2009). Staff detection with stable paths. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(6), 1134-1139. Disponível no Repositório UPT, http://hdl.handle.net/11328/2503. https://doi.org/10.1109/TPAMI.2009.34 Ferreira, Pedro M.; Cardoso, Jaime S.; Rebelo, Ana. "On the role of multimodal learning in the recognition of sign language". (2019): Ferreira, P. M., Cardoso, J. S., & Rebelo, A. (2018). On the role of multimodal learning in the recognition of sign language. Multimedia Tools and Applications, 1-22. https://doi.org/10.1007/s11042-018-6565-5. Disponível no Repositório UPT, http://hdl.handle.net/11328/2500. 10.1007/s11042-018-6565-5 Rebelo, Ana; Fujinaga, Ichiro; Paszkiewicz, Filipe; Marcal, Andre R. S.; Guedes, Carlos; Cardoso, Jaime S.. "Optical music recognition: State-of-the-art and open issues". (2019): Rebelo, A., Fujinaga, I., Paszkiewicz, F., Marcal, A. R. S., Guedes, C., & Cardoso, J. S. (2012). Optical music recognition: State-of-the-art and open issues. International Journal of Multimedia Information Retrieval, 1, 173-190. doi: 10.1007/s13735-012-0004-6. Disponível no Repositório UPT, http://hdl.handle.net/11328/2505. 10.1007/s13735-012-0004-6 Rebelo, Ana; Capela, G.; Cardoso, Jaime S.. "Optical recognition of music symbols: A comparative study". (2019): Rebelo, A., Capela, G., & Cardoso, J. S. (2010). Optical recognition of music symbols: A comparative study. International Journal on Document Analysis and Recognition, 13(1), 19-31. Disponível no Repositório UPT, http://hdl.handle.net/11328/2502. https://doi.org/doi.org/10.1007/s10032-009-0100-1 João C. Monteiro; Tiago Freitas; Jaime S. Cardoso. "Multimodal Hierarchical Face Recognition using Information from 2.5D Images". U.Porto Journal of Engineering (2018): https://doi.org/10.24840/2183-6493_002.002_0005. 10.24840/2183-6493_002.002_0005 Cardoso, Jaime. "A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery". Sensors (2018): http://www.mdpi.com/1424-8220/18/1/167. 10.3390/s18010167 Pinto, JR; Cardoso, JS; Lourenco, A. "Evolution, Current Challenges, and Future Possibilities in ECG Biometrics". IEEE ACCESS (2018): 10.1109/access.2018.2849870 Fernandes, K; Chicco, D; Cardoso, JS; Fernandes, J. "Supervised deep learning embeddings for the prediction of cervical cancer diagnosis". PEERJ COMPUTER SCIENCE (2018): 10.7717/peerj-cs.154 Fernandes, K; Cardoso, JS; Astrup, BS. "A deep learning approach for the forensic evaluation of sexual assault". PATTERN ANALYSIS AND APPLICATIONS (2018): 10.1007/s10044-018-0694-3 Fernandes, K; Cardoso, JS; Fernandes, J. "Automated Methods for the Decision Support of Cervical Cancer Screening Using Digital Colposcopies". IEEE ACCESS (2018): 10.1109/access.2018.2839338 Ferreira, PM; Marques, F; Cardoso, JS; Rebelo, A. "Physiological Inspired Deep Neural Networks for Emotion Recognition". IEEE ACCESS (2018): 10.1109/access.2018.2870063 Ferreira, PM; Cardoso, JS; Rebelo, A. "On the role of multimodal learning in the recognition of sign language". Multimedia Tools and Applications (2018): 10.1007/s11042-018-6565-5 Cardoso, MJ; Vrieling, C; Cardoso, JS; Oliveira, HP; Williams, NR; Dixon, JM; Gouveia, P; et al. "The value of 3D images in the aesthetic evaluation of breast cancer conservative treatment. Results from a prospective multicentric clinical trial". BREAST (2018): 10.1016/j.breast.2018.06.008 Cruz, R; Fernandes, K; Pinto Costa, JFP; Ortiz, MP; Cardoso, JS. "Binary ranking for ordinal class imbalance". PATTERN ANALYSIS AND APPLICATIONS (2018): 10.1007/s10044-018-0705-4 Ferreira, PM; Pernes, D; Fernandes, K; Rebelo, A; Cardoso, JS. "Dimensional emotion recognition using visual and textual cues". CoRR (2018): Ribeiro Pinto, João; Cardoso, Jaime; Lourenço, André. "Evolution, current challenges, and future possibilities in ECG biometrics". (2018): http://hdl.handle.net/10400.21/9388. 10.1109/ACCESS.2018.2849870 Zolfagharnasab,H; Sílvia Neto Bessa; Sara Isabel Oliveira; Faria,P; João Pedro Teixeira; Jaime Cardoso; Hélder Filipe Oliveira. "A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery". (2018): http://repositorio.inesctec.pt/handle/123456789/7616. http://dx.doi.org/10.3390/s18010167 Pinto, João Ribeiro; Cardoso, Jaime S.; Lourenço, André Ribeiro. "Evolution, current challenges, and future possibilities in ECG biometrics". (2018): http://hdl.handle.net/10400.21/9142. 10.1109/ACCESS.2018.2849870 Ferreira, Pedro M.; Marques, Filipe; Cardoso, Jaime S.; Rebelo, Ana. "Physiological inspired neural networks for emotion recognition". (2018): Ferreira, P. M., Marques, F., Cardoso, J. S., & Rebelo, A. (2018). Physiological inspired neural networks for emotion recognition,, 6, 53930-53943. doi: 10.1109/ACCESS.2018.2870063. Disponível no Repositório UPT, http://hdl.handle.net/11328/2469. 10.1109/ACCESS.2018.2870063 Merie, R; Browne, L; Cardoso, JS; Cardoso, MJ; Chin, Y; Clark, C; Graham, P; Szwajcer, A; Hau, E. "Proposal for a gold standard for cosmetic evaluation after breast conserving therapy: Results from the St George and Wollongong Breast Boost trial". JOURNAL OF MEDICAL IMAGING AND RADIATION ONCOLOGY (2017): 10.1111/1754-9485.12645 Fernandes, K; Cardoso, JS. "Hypothesis transfer learning based on structural model similarity". Neural Computing and Applications (2017): 10.1007/s00521-017-3281-4 Kandaswamy, C; Monteiro, JC; Silva, LM; Cardoso, JS. "Multi-source deep transfer learning for cross-sensor biometrics". NEURAL COMPUTING & APPLICATIONS (2017): 10.1007/s00521-016-2325-5 Fernandes, K; Cardoso, JS. "Deep Local Binary Patterns". CoRR (2017): Pinto,JR; Jaime Cardoso; Lourenco,A; Carreiras,C. "Towards a Continuous Biometric System Based on ECG Signals Acquired on the Steering Wheel". (2017): http://repositorio.inesctec.pt/handle/123456789/6078. http://dx.doi.org/10.3390/s17102228 Chetak Kandaswamy; Monteiro,JC; Silva,LM; Jaime Cardoso. "Multi-source deep transfer learning for cross-sensor biometrics". (2017): http://repositorio.inesctec.pt/handle/123456789/6076. http://dx.doi.org/10.1007/s00521-016-2325-5 Rosado, Luís; da Costa, José M. Correia; Elias, Dirk; Cardoso, Jaime S.. "Mobile-Based Analysis of Malaria-Infected Thin Blood Smears: Automated Species and Life Cycle Stage Determination". (2017): http://hdl.handle.net/10400.18/5448. 10.3390/s17102167 Pinto, João Ribeiro; Cardoso, Jaime S.; Lourenço, André; Carreiras, Carlos. "Towards a continuous biometric system based on ECG signals acquired on the steering wheel". (2017): http://hdl.handle.net/10400.21/9014. 10.3390/s17102228 Rosado,L; Correia da Costa,JMC; Elias,D; Jaime Cardoso. "Mobile-Based Analysis of Malaria-Infected Thin Blood Smears: Automated Species and Life Cycle Stage Determination". (2017): http://repositorio.inesctec.pt/handle/123456789/6077. http://dx.doi.org/10.3390/s17102167 Merie,R; Browne,L; Jaime Cardoso; Cardoso,MJ; Chin,Y; Clark,C; Graham,P; Szwajcer,A; Hau,E. "Proposal for a gold standard for cosmetic evaluation after breast conserving therapy: Results from the St George and Wollongong Breast Boost trial". (2017): http://repositorio.inesctec.pt/handle/123456789/6079. http://dx.doi.org/10.1111/1754-9485.12645 Pereira, E.M.; Ciobanu, L.; Cardoso, J.S.. "Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario". Neural Computing and Applications (2016): 1-20. http://www.scopus.com/inward/record.url?eid=2-s2.0-84964037897&partnerID=MN8TOARS. 10.1007/s00521-016-2282-z Rosado, L.; Correia da Costa, J.M.; Elias, D.; Cardoso, J.S.. "A review of automatic malaria parasites detection and segmentation in microscopic images". Anti-Infective Agents 14 1 (2016): 11-22. http://www.scopus.com/inward/record.url?eid=2-s2.0-84961714913&partnerID=MN8TOARS. Pereira, E.M.; Cardoso, J.S.; Morla, R.. "Long-range trajectories from global and local motion representations". Journal of Visual Communication and Image Representation 40 (2016): 265-287. http://www.scopus.com/inward/record.url?eid=2-s2.0-84978858562&partnerID=MN8TOARS. 10.1016/j.jvcir.2016.06.020 Cardoso, M.J.; Cardoso, J.S.; Oliveira, H.P.; Gouveia, P.. "The breast cancer conservative treatment. Cosmetic results - BCCT.core - Software for objective assessment of esthetic outcome in breast cancer conservative treatment: A narrative review". Computer Methods and Programs in Biomedicine 126 (2016): 154-159. http://www.scopus.com/inward/record.url?eid=2-s2.0-84960095859&partnerID=MN8TOARS. 10.1016/j.cmpb.2015.11.010 Rosado,L; Correia da Costa,JM; Elias,D; Jaime Cardoso. "A review of automatic malaria parasites detection and segmentation in microscopic images". (2016): http://repositorio.inesctec.pt/handle/123456789/6080. Eduardo José Pereira; Jaime Cardoso; Morla,R. "Long-range trajectories from global and local motion representations". (2016): http://repositorio.inesctec.pt/handle/123456789/6083. http://dx.doi.org/10.1016/j.jvcir.2016.06.020 Maria João Cardoso; Jaime Cardoso; Hélder Filipe Oliveira; Pedro Filipe Gouveia. "The breast cancer conservative treatment. Cosmetic results - BCCT.core - Software for objective assessment of esthetic outcome in breast cancer conservative treatment: A narrative review". (2016): http://repositorio.inesctec.pt/handle/123456789/5915. http://dx.doi.org/10.1016/j.cmpb.2015.11.010 Kelwin Alexander Correia; Jaime Cardoso. "Discriminative directional classifiers". (2016): http://repositorio.inesctec.pt/handle/123456789/6081. http://dx.doi.org/10.1016/j.neucom.2016.03.076 Silva, P.F.B.; Cardoso, J.S.. "Differential scorecards for binary and ordinal data". Intelligent Data Analysis 19 6 (2015): 1391-1408. http://www.scopus.com/inward/record.url?eid=2-s2.0-84947550669&partnerID=MN8TOARS. 10.3233/IDA-150788 Fernandes, K.; Cardoso, J.S.. "Discriminative directional classifiers". Neurocomputing (2015): http://www.scopus.com/inward/record.url?eid=2-s2.0-84973582611&partnerID=MN8TOARS. 10.1016/j.neucom.2016.03.076 Khoshrou, S.; Cardoso, J.S.; Teixeira, L.F.. "Learning from evolving video streams in a multi-camera scenario". Machine Learning 100 2-3 (2015): 609-633. http://www.scopus.com/inward/record.url?eid=2-s2.0-84939177779&partnerID=MN8TOARS. 10.1007/s10994-015-5515-y Sequeira, A.F.; Cardoso, J.S.. "Fingerprint liveness detection in the presence of capable intruders". Sensors (Switzerland) 15 6 (2015): 14615-14638. http://www.scopus.com/inward/record.url?eid=2-s2.0-84933567472&partnerID=MN8TOARS. 10.3390/s150614615 Wen, C.; Rebelo, A.; Zhang, J.; Cardoso, J.. "A new optical music recognition system based on combined neural network". Pattern Recognition Letters 58 (2015): 1-7. http://www.scopus.com/inward/record.url?eid=2-s2.0-84929311579&partnerID=MN8TOARS. 10.1016/j.patrec.2015.02.002 Gamelas Sousa, R.; Rocha Neto, A.R.; Cardoso, J.S.; Barreto, G.A.. "Robust classification with reject option using the self-organizing map". Neural Computing and Applications (2015): http://www.scopus.com/inward/record.url?eid=2-s2.0-84922345004&partnerID=MN8TOARS. 10.1007/s00521-015-1822-2 Monteiro, J.C.; Cardoso, J.S.. "A cognitively-motivated framework for partial face recognition in unconstrained scenarios". Sensors (Switzerland) 15 1 (2015): 1903-1924. http://www.scopus.com/inward/record.url?eid=2-s2.0-84921465223&partnerID=MN8TOARS. 10.3390/s150101903 Micó, L.; Sanches, J.M.; Cardoso, J.S.. "The vitality of pattern recognition and image analysis". Neurocomputing 150 PA (2015): 124-125. http://www.scopus.com/inward/record.url?eid=2-s2.0-84912530934&partnerID=MN8TOARS. 10.1016/j.neucom.2014.09.056 Micó, L; Sanches, JM; Cardoso, JS. "The vitality of pattern recognition and image analysis". Neurocomputing (2015): Samaneh Khoshrou; Jaime Cardoso; Luís Filipe Teixeira. "Learning from evolving video streams in a multi-camera scenario". (2015): http://repositorio.inesctec.pt/handle/123456789/5967. http://dx.doi.org/10.1007/s10994-015-5515-y Sequeira,AF; Jaime Cardoso. "Fingerprint Liveness Detection in the Presence of Capable Intruders". (2015): http://repositorio.inesctec.pt/handle/123456789/6085. http://dx.doi.org/10.3390/s150614615 Silva,PFB; Jaime Cardoso. "Differential scorecards for binary and ordinal data". (2015): http://repositorio.inesctec.pt/handle/123456789/6086. http://dx.doi.org/10.3233/ida-150788 Sousa,RG; Rocha Neto,ARR; Jaime Cardoso; Barreto,GA. "Robust classification with reject option using the self-organizing map". (2015): http://repositorio.inesctec.pt/handle/123456789/6084. http://dx.doi.org/10.1007/s00521-015-1822-2 Wen,CH; Ana Maria Rebelo; Zhang,J; Jaime Cardoso. "A new optical music recognition system based on combined neural network". (2015): http://repositorio.inesctec.pt/handle/123456789/6089. http://dx.doi.org/10.1016/j.patrec.2015.02.002 Jaime Cardoso; Domingues,I; Hélder Filipe Oliveira. "Closed Shortest Path in the Original Coordinates with an Application to Breast Cancer". (2015): http://repositorio.inesctec.pt/handle/123456789/3765. http://dx.doi.org/10.1142/s0218001415550022 João Carlos Monteiro; Jaime Cardoso. "A Cognitively-Motivated Framework for Partial Face Recognition in Unconstrained Scenarios". (2015): http://repositorio.inesctec.pt/handle/123456789/6087. http://dx.doi.org/10.3390/s150101903 Joaquim Pinto da Costa; Hugo Alonso; Jaime S. Cardoso. "Corrigendum to “The unimodal model for the classification of ordinal data” [Neural Netw. 21 (2008) 78–79]". Neural Networks 59 (2014): 73-75. http://dx.doi.org/10.1016/j.neunet.2014.06.003. 10.1016/j.neunet.2014.06.003 Jaime S. Cardoso; Inês Domingues; Hélder P. Oliveira. "Closed Shortest Path in the Original Coordinates with an Application to Breast Cancer". Int. J. Patt. Recogn. Artif. Intell. (2014): 140824185110005-140824185110005. http://dx.doi.org/10.1142/s0218001415550022. 10.1142/S0218001415550022 Ines Domingues; Jaime S. Cardoso. "Max-Ordinal Learning". IEEE Trans. Neural Netw. Learning Syst. 25 7 (2014): 1384-1389. http://dx.doi.org/10.1109/tnnls.2013.2287381. 10.1109/tnnls.2013.2287381 Hélder P. Oliveira; Jaime S. Cardoso; André T. Magalhães; Maria J. Cardoso. "A 3D low-cost solution for the aesthetic evaluation of breast cancer conservative treatment". Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 2 2 (2014): 90-106. http://dx.doi.org/10.1080/21681163.2013.858403. 10.1080/21681163.2013.858403 Maria João Cardoso; Helder Oliveira; Jaime Cardoso. "Assessing cosmetic results after breast conserving surgery". J. Surg. Oncol. 110 1 (2014): 37-44. http://dx.doi.org/10.1002/jso.23596. 10.1002/jso.23596 Xianghui Xiao; Minfang Peng; Jaime S. Cardoso; Lei Wang; Meie Shen. "Signal transmission model for the substations grounding grid". Expert Systems with Applications 41 2 (2014): 616-621. http://dx.doi.org/10.1016/j.eswa.2013.07.086. 10.1016/j.eswa.2013.07.086 Domingues, I.; Cardoso, J.S.. "Max-ordinal learning". IEEE Transactions on Neural Networks and Learning Systems 25 7 (2014): 1384-1389. http://www.scopus.com/inward/record.url?eid=2-s2.0-84903271739&partnerID=MN8TOARS. 10.1109/TNNLS.2013.2287381 Xiao, X.; Peng, M.; Cardoso, J.S.; Tang, R.; Zhou, Y.L.. "The failure analysis and lifetime prediction for the solder joint of the magnetic head". Applied Physics A: Materials Science and Processing 118 2 (2014): 691-697. http://www.scopus.com/inward/record.url?eid=2-s2.0-84925497499&partnerID=MN8TOARS. 10.1007/s00339-014-8781-9 Sequeira, Ana F.; Oliveira, Helder P.; Monteiro, Joao C.; Monteiro, Joao P.; Cardoso, Jaime S.. "MobILive 2014-Mobile Iris Liveness Detection Competition". Ieee/iapr International Joint Conference on Biometrics (ijcb) (2014): https://publons.com/wos-op/publon/50890724/. Maria João Cardoso; Hélder Filipe Oliveira; Jaime Cardoso. "Assessing Cosmetic Results After Breast Conserving Surgery". (2014): http://repositorio.inesctec.pt/handle/123456789/3526. http://dx.doi.org/10.1002/jso.23596 Domingues,I; Jaime Cardoso. "Max-Ordinal Learning". (2014): http://repositorio.inesctec.pt/handle/123456789/3659. http://dx.doi.org/10.1109/tnnls.2013.2287381 Hélder Filipe Oliveira; Jaime Cardoso; Magalhães,A; Cardoso,MJ. "A 3D low-cost solution for the aesthetic evaluation of breast cancer conservative treatment". (2014): http://repositorio.inesctec.pt/handle/123456789/5936. http://dx.doi.org/10.1080/21681163.2013.858403 Sousa, R.; Cardoso, J.S.. "The data replication method for the classification with reject option". AI Communications 26 3 (2013): 281-302. http://www.scopus.com/inward/record.url?eid=2-s2.0-84884562845&partnerID=MN8TOARS. 10.3233/AIC-130566 Keshtgar, M.R.S.; Williams, N.R.; Bulsara, M.; Saunders, C.; Flyger, H.; Cardoso, J.S.; Corica, T.; et al. "Objective assessment of cosmetic outcome after targeted intraoperative radiotherapy in breast cancer: results from a randomised controlled trial". Breast Cancer Research and Treatment (2013): 1-7. http://www.scopus.com/inward/record.url?eid=2-s2.0-84880213517&partnerID=MN8TOARS. 10.1007/s10549-013-2641-8 Oliveira, H.P.; Cardoso, J.S.; Magalhães, A.; Cardoso, M.J.. "Methods for the aesthetic evaluation of breast cancer conservation treatment: A technological review". Current Medical Imaging Reviews 9 1 (2013): 32-46. http://www.scopus.com/inward/record.url?eid=2-s2.0-84875950018&partnerID=MN8TOARS. 10.2174/1573405611309010006 Carvalho, P.; Oliveira, T.; Ciobanu, L.; Gaspar, F.; Teixeira, L.F.; Bastos, R.; Cardoso, J.S.; Dias, M.S.; Côrte-Real, L.. "Analysis of object description methods in a video object tracking environment". Machine Vision and Applications 24 6 (2013): 1149-1165. http://www.scopus.com/inward/record.url?eid=2-s2.0-84880806824&partnerID=MN8TOARS. 10.1007/s00138-013-0523-z Hélder Filipe Oliveira; Jaime Cardoso; Magalhaes,A; Maria João Cardoso. "Methods for the Aesthetic Evaluation of Breast Cancer Conservation Treatment: A Technological Review". (2013): http://repositorio.inesctec.pt/handle/123456789/5924. http://dx.doi.org/10.2174/1573405611309010006 Keshtgar,MRS; Williams,NR; Bulsara,M; Saunders,C; Flyger,H; Jaime Cardoso; Corica,T; et al. "Objective assessment of cosmetic outcome after targeted intraoperative radiotherapy in breast cancer: results from a randomised controlled trial". (2013): http://repositorio.inesctec.pt/handle/123456789/7174. http://dx.doi.org/10.1007/s10549-013-2641-8 Pedro Miguel Carvalho; Oliveira,T; Lucian Ciobanu; Gaspar,F; Luís Filipe Teixeira; Bastos,R; Jaime Cardoso; Dias,MS; Luís Corte Real. "Analysis of object description methods in a video object tracking environment". (2013): http://repositorio.inesctec.pt/handle/123456789/4187. http://dx.doi.org/10.1007/s00138-013-0523-z Sousa,R; Yevseyeva,I; Da Costa,JFP; Jaime Cardoso. "Multicriteria models for learning ordinal data: A literature review". (2013): http://repositorio.inesctec.pt/handle/123456789/7206. http://dx.doi.org/10.1007/978-3-642-29694-9-6 Sousa,R; Jaime Cardoso. "The data replication method for the classification with reject option". (2013): http://repositorio.inesctec.pt/handle/123456789/7173. http://dx.doi.org/10.3233/aic-130566 Rebelo, Ana; Fujinaga, Ichiro; Paszkiewicz, Filipe; Marcal, Andre R. S.; Guedes, Carlos; Cardoso, Jaime S.. "Optical music recognition: state-of-the-art and open issues". International Journal of Multimedia Information Retrieval 1 3 (2012): 173-190. http://dx.doi.org/10.1007/s13735-012-0004-6. 10.1007/s13735-012-0004-6 Immink, J.M.; Putter, H.; Bartelink, H.; Cardoso, J.S.; Cardoso, M.J.; Van der Hulst-Vijgen, M.H.V.; Noordijk, E.M.; et al. "Long-term cosmetic changes after breast-conserving treatment of patients with stage I-II breast cancer and included in the EORTC 'boost versus no boost' trial". Annals of Oncology 23 10 (2012): 2591-2598. http://www.scopus.com/inward/record.url?eid=2-s2.0-84867137599&partnerID=MN8TOARS. 10.1093/annonc/mds066 Carvalho, P.; Cardoso, J.S.; Corte-Real, L.. "Filling the gap in quality assessment of video object tracking". Image and Vision Computing 30 9 (2012): 630-640. http://www.scopus.com/inward/record.url?eid=2-s2.0-84866741454&partnerID=MN8TOARS. 10.1016/j.imavis.2012.06.002 Cardoso, M.J.; Cardoso, J.S.; Vrieling, C.; MacMillan, D.; Rainsbury, D.; Heil, J.; Hau, E.; Keshtgar, M.. "Recommendations for the aesthetic evaluation of breast cancer conservative treatment". Breast Cancer Research and Treatment 135 3 (2012): 629-637. http://www.scopus.com/inward/record.url?eid=2-s2.0-84866525983&partnerID=MN8TOARS. 10.1007/s10549-012-1978-8 Jaime Cardoso; Maria João Cardoso. "Recommendations for the Aesthetic Evaluation of Breast Cancer Treatment". (2012): http://repositorio.inesctec.pt/handle/123456789/2458. Luís Corte Real; Pedro Miguel Carvalho; Jaime Cardoso. "Filling The Gap in Quality Assessment of Video Object Tracking". (2012): http://repositorio.inesctec.pt/handle/123456789/3305. Carlos Guedes; Ana Maria Rebelo; Ichiro Fujinaga; F. Paszkiewicz; A. R. S. Marcal; Jaime Cardoso. "Optical Music Recognition - State-of-the-Art and Open Issues". (2012): http://repositorio.inesctec.pt/handle/123456789/3303. Maria João Cardoso; Inês Campos Domingues; Antonio Cardoso; Jaime Cardoso; Ines Moreira; Igor Amaral. "INbreast: Towards a Full Field Digital Mammographic Database". (2012): http://repositorio.inesctec.pt/handle/123456789/2296. Moreira, Inês C.; Amaral, Igor; Domingues, Inês; Cardoso, António; Cardoso, Maria João; Cardoso, Jaime S.. "INbreast: toward a full-field digital mammographic database". (2012): http://hdl.handle.net/10400.22/6124. 10.1016/j.acra.2011.09.014 Jaime Cardoso; J. M. Immink; H. Putter; H. Bartelink; Maria João Cardoso. "Long-term cosmetic changes after breast conserving treatment for patients with stage I-II breast cancer and included in the EORTC `boost versus no boost' trial". (2012): http://repositorio.inesctec.pt/handle/123456789/2459. Cardoso, J.S.; Sousa, R.. "Measuring the performance of ordinal classification". International Journal of Pattern Recognition and Artificial Intelligence 25 8 (2011): 1173-1195. http://www.scopus.com/inward/record.url?eid=2-s2.0-84855374161&partnerID=MN8TOARS. 10.1142/s0218001411009093 de Aquino, Luiz C. M.; Giraldi, Gilson A.; Rodrigues, Paulo S. S.; Junior, Antonio Lopes A.; Cardoso, Jaime S.; Suri, Jasjit S.. "Surface Reconstruction and Geometric Modelling for Digital Prosthesis Design". MULTI MODALITY STATE-OF-THE-ART MEDICAL IMAGE SEGMENTATION AND REGISTRATION METHODOLOGIES, VOL II (2011): https://publons.com/wos-op/publon/32891624/. 10.1007/978-1-4419-8204-9_8 Ricardo Jorge Sousa; Jaime Cardoso. "Measuring the performance of ordinal classification". (2011): http://repositorio.inesctec.pt/handle/123456789/2295. Rebelo, A.; Capela, G.; Cardoso, J.S.. "Optical recognition of music symbols". International Journal on Document Analysis and Recognition 13 1 (2010): 19-31. http://www.scopus.com/inward/record.url?eid=2-s2.0-77949423056&partnerID=MN8TOARS. 10.1007/s10032-009-0100-1 Carvalho, P.; Cardoso, J.S.; Corte-Real, L.. "Hybrid framework for evaluating video object tracking algorithms". Electronics Letters 46 6 (2010): 411-412. http://www.scopus.com/inward/record.url?eid=2-s2.0-77949742746&partnerID=MN8TOARS. 10.1049/el.2010.3165 Oliveira, H.P.; Magalhaes, A.; Cardoso, M.J.; Cardoso, J.S.. "An accurate and interpretable model for BCCT.core.". Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference (2010): 6158-6161. http://www.scopus.com/inward/record.url?eid=2-s2.0-84903874657&partnerID=MN8TOARS. Domingues, I.; Cardoso, J.S.; Amaral, I.; Moreira, I.; Passarinho, P.; Santa Comba, J.; Correia, R.; Cardoso, M.J.. "Pectoral muscle detection in mammograms based on the shortest path with endpoints learnt by SVMs.". Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference (2010): 3158-3161. http://www.scopus.com/inward/record.url?eid=2-s2.0-84903853909&partnerID=MN8TOARS. 10.1109/IEMBS.2010.5627168 Cardoso, J.S.; Domingues, I.; Amaral, I.; Moreira, I.; Passarinho, P.; Santa Comba, J.; Correia, R.; Cardoso, M.J.. "Pectoral muscle detection in mammograms based on polar coordinates and the shortest path.". Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference (2010): 4781-4784. http://www.scopus.com/inward/record.url?eid=2-s2.0-84903876486&partnerID=MN8TOARS. 10.1109/iembs.2010.5626634 Pedro Miguel Carvalho; Jaime Cardoso; Luís Corte Real. "Hybrid framework for evaluating video object tracking algorithms". (2010): http://repositorio.inesctec.pt/handle/123456789/3131. Ana Maria Rebelo; Guilherme Artur Capela; Jaime Cardoso. "Optical recognition of music symbols: A comparative study". (2010): http://repositorio.inesctec.pt/handle/123456789/1802. Jaime Cardoso; Hélder Filipe Oliveira; Susy Costa; Maria João Cardoso; André T. Magalhães. "Value of photographic side-views in the objective evaluation of the aesthetic results of breast cancer conservative treatment". (2010): http://repositorio.inesctec.pt/handle/123456789/1880. http://dx.doi.org/10.1158/0008-5472.SABCS10-P5-14-17 dos Santos Cardoso, J.; Capela, A.; Rebelo, A.; Guedes, C.; Pinto da Costa, J.. "Staff detection with stable paths". IEEE Transactions on Pattern Analysis and Machine Intelligence 31 6 (2009): 1134-1139. http://www.scopus.com/inward/record.url?eid=2-s2.0-65549130713&partnerID=MN8TOARS. 10.1109/tpami.2009.34 Cardoso, J.S.; Carvalho, P.; Teixeira, L.F.; Corte-Real, L.. "Partition-distance methods for assessing spatial segmentations of images and videos". Computer Vision and Image Understanding 113 7 (2009): 811-823. http://www.scopus.com/inward/record.url?eid=2-s2.0-67349258024&partnerID=MN8TOARS. 10.1016/j.cviu.2009.02.001 Cardoso, M.J.; Cardoso, J.S.; Wild, T.; Krois, W.; Fitzal, F.. "Comparing two objective methods for the aesthetic evaluation of breast cancer conservative treatment". Breast Cancer Research and Treatment 116 1 (2009): 149-152. http://www.scopus.com/inward/record.url?eid=2-s2.0-67649429715&partnerID=MN8TOARS. 10.1007/s10549-008-0173-4 Afonso, Ana Paula; Cardoso, Jaime S.; Cardoso, Maria Joao; Cota, Manuel Perez. "THE EVALUATION OF USABILITY OF AN INTELLIGENT MEDICAL SYSTEM: BCCT.CORE". SISTEMAS E TECHNOLOGIAS DE INFORMACAO: ACTAS DA 4A CONFERENCIA IBERICA DE SISTEMAS E TECNOLOGIAS DE LA INFORMACAO (2009): https://publons.com/wos-op/publon/19766851/. Afonso, Ana P.; Cardoso, Jaime S.; Cardoso, Maria João; Pérez Cota, Manuel. "A Avaliação da usabilidade de um sistema médico inteligente: BCCT.core". (2009): http://hdl.handle.net/10400.22/277. Wilfried Krois; Jaime Cardoso; Thomas Wild; Florian Fitzal; Maria João Cardoso. "Comparing Two Objective Methods for the Aesthetic Evaluation of Breast Cancer Conservative Treatment .". (2009): http://repositorio.inesctec.pt/handle/123456789/1705. Jaime Cardoso; Luís Corte Real; Pedro Miguel Carvalho; Luís Filipe Teixeira. "Partition-distance methods for assessing spatial segmentations of images and videos". (2009): http://repositorio.inesctec.pt/handle/123456789/1687. Carlos Guedes; Guilherme Artur Capela; Ana Maria Rebelo; Joaquim Pinto da Costa; Jaime Cardoso. "Staff Detection with Stable Paths". (2009): http://repositorio.inesctec.pt/handle/123456789/1692. Pinto da Costa, J.F.; Alonso, H.; Cardoso, J.S.. "The unimodal model for the classification of ordinal data". Neural Networks 21 1 (2008): 78-91. http://www.scopus.com/inward/record.url?eid=2-s2.0-39649085857&partnerID=MN8TOARS. 10.1016/j.neunet.2007.10.003 Cardoso, M.J.; Magalhães, A.; Almeida, T.; Costa, S.; Vrieling, C.; Christie, D.; Johansen, J.; Cardoso, J.S.. "Is face-only photographic view enough for the aesthetic evaluation of breast cancer conservative treatment?". Breast Cancer Research and Treatment 112 3 (2008): 565-568. http://www.scopus.com/inward/record.url?eid=2-s2.0-56549129087&partnerID=MN8TOARS. 10.1007/s10549-008-9896-5 Maria João Cardoso; Carla C. Warlam-Rodenhuis; Jaime Cardoso; Henk Struikmans; Marcelle Immink; Hein Putter; Job Visser; et al. "Long-term cosmetic changes after breast conserving therapy for patients with stage I and II breast cancer treated in the EORTC ``boost versus no boost'' trial". (2008): http://repositorio.inesctec.pt/handle/123456789/3096. Wilfried Krois; Jaime Cardoso; Thomas Wild; Florian Fitzal; Maria João Cardoso. "Comparing two objective methods for the aesthetic evaluation of breast cancer conservative treatment". (2008): http://repositorio.inesctec.pt/handle/123456789/1612. Jorgen Johansen; Conny Vrieling; David Christie; Jaime Cardoso; Maria João Cardoso; Andre Magalhaes; Teresa Almeida; Susy Costa. "Is Face-Only Photographic View Enough for the Aesthetic Evaluation of Breast Cancer Conservative Treatment?". (2008): http://repositorio.inesctec.pt/handle/123456789/1621. Cardoso, M.J.; Cardoso, J.; Amaral, N.; Azevedo, I.; Barreau, L.; Bernardo, M.; Christie, D.; et al. "Turning subjective into objective: The BCCT.core software for evaluation of cosmetic results in breast cancer conservative treatment". Breast 16 5 (2007): 456-461. http://www.scopus.com/inward/record.url?eid=2-s2.0-34848828209&partnerID=MN8TOARS. 10.1016/j.breast.2007.05.002 Cardoso, J.S.; Cardoso, M.J.. "Towards an intelligent medical system for the aesthetic evaluation of breast cancer conservative treatment". Artificial Intelligence in Medicine 40 2 (2007): 115-126. http://www.scopus.com/inward/record.url?eid=2-s2.0-34249299788&partnerID=MN8TOARS. 10.1016/j.artmed.2007.02.007 Berti, E.; Cardoso, J.; Cardoso, V.; Cavaglià, M.. "Matched filtering and parameter estimation of ringdown waveforms". Physical Review D - Particles, Fields, Gravitation and Cosmology 76 10 (2007): http://www.scopus.com/inward/record.url?eid=2-s2.0-36549017567&partnerID=MN8TOARS. 10.1103/physrevd.76.104044 Cardoso, M.J.; Cardoso, J.; Santos, A.C.; Vrieling, C.; Christie, D.; Liljegren, G.; Azevedo, I.; et al. "Factors determining esthetic outcome after breast cancer conservative treatment". Breast Journal 13 2 (2007): 140-146. http://www.scopus.com/inward/record.url?eid=2-s2.0-33847103771&partnerID=MN8TOARS. 10.1111/j.1524-4741.2007.00394.x Teixeira, L.F.; Cardoso, J.S.; Corte-Real, L.. "Object segmentation using background modelling and cascaded change detection". Journal of Multimedia 2 5 (2007): 55-65. http://www.scopus.com/inward/record.url?eid=2-s2.0-55849125443&partnerID=MN8TOARS. 10.4304/jmm.2.5.55-65 Cardoso, J.S.; Pinto Da Costa, J.F.. "Learning to classify ordinal data: The data replication method". Journal of Machine Learning Research 8 (2007): 1393-1429. http://www.scopus.com/inward/record.url?eid=2-s2.0-34547698831&partnerID=MN8TOARS. Cardoso, Jaime S.; Cardoso, Maria J.. "Breast Contour Detection for the Aesthetic Evaluation of Breast Cancer Conservative Treatment". Information Technology and Agricultural Engineering (2007): https://publons.com/wos-op/publon/54994125/. Luís F. Teixeira; Luís Corte Real; Jaime Cardoso. "Object Segmentation Using Background Modelling and Cascaded Change Detection". (2007): http://repositorio.inesctec.pt/handle/123456789/1505. Jaime Cardoso; Maria João Cardoso. "Turning subjective into objective: a new tool for the evaluation of breast cancer conservative treatment cosmetic results. The BCCT.core". (2007): http://repositorio.inesctec.pt/handle/123456789/1522. Jaime Cardoso; Joaquim Pinto da Costa. "Learning to classify ordinal data: the data replication method". (2007): http://repositorio.inesctec.pt/handle/123456789/1500. Emanuele Berti; Vitor Cardoso; Marco Cavaglià; Jaime Cardoso. "Matched filtering and parameter estimation of ringdown waveforms". (2007): http://repositorio.inesctec.pt/handle/123456789/1539. Maria Joao Cardoso; Jaime Cardoso. "Towards an intelligent medical system for the aesthetic evaluation of breast cancer conservative treatment". (2007): http://repositorio.inesctec.pt/handle/123456789/1493. Maria Joao Cardoso; Jaime Cardoso. "Factors Determining Esthetic Outcome after Breast Cancer Conservative Treatment". (2007): http://repositorio.inesctec.pt/handle/123456789/1494. Cardoso, M.J.; Cardoso, J.; Santos, A.C.; Barros, H.; de Oliveira, M.C.. "Interobserver agreement and consensus over the esthetic evaluation of conservative treatment for breast cancer". Breast 15 1 (2006): 52-57. http://www.scopus.com/inward/record.url?eid=2-s2.0-32244443682&partnerID=MN8TOARS. 10.1016/j.breast.2005.04.013 Cardoso, J.S.; Corte-Real, L.. "A measure for mutual refinements of image segmentations". IEEE Transactions on Image Processing 15 8 (2006): 2358-2363. http://www.scopus.com/inward/record.url?eid=2-s2.0-33746265532&partnerID=MN8TOARS. 10.1109/tip.2006.875243 Cardoso, JS. "Classification of Ordinal Data". CoRR (2006): Jaime Cardoso; Luís Corte Real. "A Measure for Mutual Refinements of Image Segmentations". (2006): http://repositorio.inesctec.pt/handle/123456789/1425. Cardoso, M.J.; Santos, A.C.; Cardoso, J.; Barros, H.; Cardoso De Oliveira, M.. "Choosing observers for evaluation of aesthetic results in breast cancer conservative treatment". International Journal of Radiation Oncology Biology Physics 61 3 (2005): 879-881. http://www.scopus.com/inward/record.url?eid=2-s2.0-13844267356&partnerID=MN8TOARS. 10.1016/j.ijrobp.2004.06.257 Cardoso, J.S.; Corte-Real, L.. "Accumulator size minimization for a fast cumulant-based motion estimator". IEEE Transactions on Circuits and Systems for Video Technology 15 12 (2005): 1660-1664. http://www.scopus.com/inward/record.url?eid=2-s2.0-29144529098&partnerID=MN8TOARS. 10.1109/TCSVT.2005.858614 Cardoso, J.S.; Corte-Real, L.. "Toward a generic evaluation of image segmentation". IEEE Transactions on Image Processing 14 11 (2005): 1773-1782. http://www.scopus.com/inward/record.url?eid=2-s2.0-27844486093&partnerID=MN8TOARS. 10.1109/tip.2005.854491 Cardoso, J.S.; Pinto Da Costa, J.F.; Cardoso, M.J.. "Modelling ordinal relations with SVMs: An application to objective aesthetic evaluation of breast cancer conservative treatment". Neural Networks 18 5-6 (2005): 808-817. http://www.scopus.com/inward/record.url?eid=2-s2.0-27744456721&partnerID=MN8TOARS. 10.1016/j.neunet.2005.06.023 Jaime Cardoso; Luís Corte Real. "Toward a Generic Evaluation of Image Segmentation". (2005): http://repositorio.inesctec.pt/handle/123456789/1322. Jaime Cardoso; Luís Corte Real. "Accumulator size minimization for a fast cumulant-based motion estimation". (2005): http://repositorio.inesctec.pt/handle/123456789/1391. Jaime Cardoso; Maria João Cardoso; Ana Cristina Santos. "Choosing observers for evaluation of aesthetic results in breast cancer conservative treatment". (2005): http://repositorio.inesctec.pt/handle/123456789/1344. Jaime Cardoso; Joaquim Pinto da Costa; Maria João Cardoso. "Modelling ordinal relations with SVMs: an application to Objective Aesthetic Evaluation of Breast Cancer Conservative Treatment". (2005): http://repositorio.inesctec.pt/handle/123456789/1374.
Journal issue	Pedro Carvalho; Jaime S. Cardoso; Viana, Paula. "Special Issue on Intelligent Vehicle Sensing and Monitoring". Sensors (2024): In press
Preprint	João Matos; Tristan Struja; Jack Gallifant; Luis Nakayama; Marie-Laure Charpignon; Xiaoli Liu; Nicoleta Economou-Zavlanos; et al. "BOLD: Blood-gas and Oximetry Linked Dataset – Open Source Research". 2023. https://doi.org/10.1101/2023.10.03.23296485. 10.1101/2023.10.03.23296485 Ana Gerós; Ricardo Cruz; Fabrice de Chaumont; Jaime S. Cardoso; Paulo Aguiar. "Deep learning-based system for real-time behavior recognition and closed-loop control of behavioral mazes using depth sensing". 2022. https://doi.org/10.1101/2022.02.22.481410. 10.1101/2022.02.22.481410
Thesis / Dissertation	Ribeiro, Liliana Filipa Pinho. "Diagnóstico assistido por computador no Cancro Colorretal: podemos fazê-lo?". Master, 2021. http://hdl.handle.net/10400.22/19708. Baltazar, André Miguel Passos. "ZATLAB : recognizing gestures for artistic performance interaction". PhD, 2015. http://hdl.handle.net/10400.14/16712. Pinheiro, Márcia dos Santos. "Sistema web para o reconhecimento de partituras musicais". Master, 2009. http://hdl.handle.net/10216/57563. Cardoso, Jaime dos Santos. "Metadata assisted image segmentation". PhD, 2006. http://hdl.handle.net/10216/11315. Cardoso, Jaime dos Santos. "Metadata assisted image segmentation". PhD, 2006. http://hdl.handle.net/10216/11315.

Other

Other output

Author Correction: Computer-aided diagnosis through medical image retrieval in radiology (Scientific Reports, (2022), 12, 1, (20732), 10.1038/s41598-022-25027-2). 2023. Silva, W; Gonçalves, T; Härmä, K; Schröder, E; Obmann, VC; Barroso, MC; Poellinger, A; Reyes, M; Cardoso, JS.
10.1038/s41598-023-28523-1
Unveiling the performance of video anomaly detection models — A benchmark-based review. 2023. Caetano, F; Carvalho, P; Cardoso, S.
10.1016/j.iswa.2023.200236
Evaluation of the impact of domain adaptation on segmentation of Multiple Sclerosis lesions in MRI. Made available in DSpace on 2022-04-28T19:51:12Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01. Multiple Sclerosis (MS) is a chronic and inflammatory disorder that causes degeneration of axons in brain white matter and spinal cord. Magnetic Resonance Imaging (MRI) is extensively used to identify MS lesions and evaluate the progression of the disease, but the manual identification and. 2022. Sousa, Isabella Medeiros De; De Oliveira, Marcela [UNESP]; Lisboa-Filho, Paulo Noronha [UNESP]; Cardoso, Jaime Dos Santos. http://hdl.handle.net/11449/223511.
https://doi.org/http://dx.doi.org/10.1109/BIBM52615.2021.9669533
Myope Models - Are face presentation attack detection models short-sighted?. 2021. Neto, PC; Sequeira, AF; Cardoso, JS.
10.1109/wacvw54805.2022.00045
Myope Models - Are face presentation attack detection models short-sighted?. 2021. Neto, PC; Sequeira, AF; Cardoso, JS.
10.1109/wacvw54805.2022.00045
Topological Similarity Index and Loss Function for Blood Vessel Segmentation. 2021. Araújo, RJ; Cardoso, JS; Oliveira, HP.
Secure Triplet Loss: Achieving Cancelability and Non-Linkability in End-to-End Deep Biometrics. 2021. João Tiago Pinto; Miguel Velhote Correia; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/12493.
http://dx.doi.org/10.1109/tbiom.2020.3046620
A Systematic Survey of ML Datasets for Prime CV Research Areas-Media and Metadata. The ever-growing capabilities of computers have enabled pursuing Computer Vision through Machine Learning (i.e., MLCV). ML tools require large amounts of information to learn from (ML datasets). These are costly to produce but have received reduced attention regarding standardization. This prevents the cooperative production and exploitation of these resources, impedes countless synergies, and hin. 2021. Maria Teresa Andrade; Hélder F. Castro; Jaime S. Cardoso. https://hdl.handle.net/10216/132212.
10.3390/data6020012
802.11 wireless simulation and anomaly detection using HMM and UBM. <jats:p> Despite the growing popularity of 802.11 wireless networks, users often suffer from connectivity problems and performance issues due to unstable radio conditions and dynamic user behavior, among other reasons. Anomaly detection and distinction are in the thick of major challenges that network managers encounter. The difficulty of monitoring broad and complex Wireless Local Area Networks,. 2020. Anisa Allahdadidastjerdi; Ricardo Morla; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/12525.
http://dx.doi.org/10.1177/0037549720958480
Evolution, current challenges, and future possibilities in ECG biometrics. Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising reliable recognition in diverse applications. Commercial products using these traits for biometric identification or authentication are increasingly widespread, from smartphones to border control. However, increasingly smart techniques to counterfeit such traits raise the need for traits that are less vul. 2018. Pinto, João Ribeiro; Cardoso, Jaime S.; Lourenço, André. http://hdl.handle.net/10400.21/9388.
10.1109/ACCESS.2018.2849870
Evolution, current challenges, and future possibilities in ECG biometrics. Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising reliable recognition in diverse applications. Commercial products using these traits for biometric identification or authentication are increasingly widespread, from smartphones to border control. However, increasingly smart techniques to counterfeit such traits raise the need for traits that are less vul. 2018. Pinto, João Ribeiro; Cardoso, Jaime S.; Lourenço, André Ribeiro. http://hdl.handle.net/10400.21/9142.
10.1109/ACCESS.2018.2849870
A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery. 2018. Zolfagharnasab,H; Sílvia Neto Bessa; Sara Isabel Oliveira; Faria,P; João Pedro Teixeira; Jaime Cardoso; Hélder Filipe Oliveira. http://repositorio.inesctec.pt/handle/123456789/7616.
http://dx.doi.org/10.3390/s18010167
1st MICCAI workshop on deep learning in medical image analysis. 2018. Carneiro, G; Lu, Z; Tavares, JMRS; Cardoso, JS; Bradley, AP; Papa, JP; Nascimento, JC; Belagiannis, V.
10.1080/21681163.2018.1457242
Evolution, Current Challenges, and Future Possibilities in ECG Biometrics. Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising reliable recognition in diverse applications. Commercial products using these traits for biometric identification or authentication are increasingly widespread, from smartphones to border control. However, increasingly smart techniques to counterfeit such traits raise the need for traits that are less vul. 2018. João Tiago Pinto; Jaime Cardoso; Lourenco,A. http://repositorio.inesctec.pt/handle/123456789/8010.
http://dx.doi.org/10.1109/access.2018.2849870
Towards a continuous biometric system based on ECG signals acquired on the steering wheel. Electrocardiogram signals acquired through a steering wheel could be the key to seamless, highly comfortable, and continuous human recognition in driving settings. This paper focuses on the enhancement of the unprecedented lesser quality of such signals, through the combination of Savitzky-Golay and moving average filters, followed by outlier detection and removal based on normalised cross-correla. 2017. Pinto, João Ribeiro; Cardoso, Jaime S.; Lourenço, André; Carreiras, Carlos. http://hdl.handle.net/10400.21/9014.
10.3390/s17102228
Mobile-Based Analysis of Malaria-Infected Thin Blood Smears: Automated Species and Life Cycle Stage Determination. Microscopy examination has been the pillar of malaria diagnosis, being the recommended procedure when its quality can be maintained. However, the need for trained personnel and adequate equipment limits its availability and accessibility in malaria-endemic areas. Rapid, accurate, accessible diagnostic tools are increasingly required, as malaria control programs extend parasite-based diagnosis and. 2017. Rosado, Luís; da Costa, José M. Correia; Elias, Dirk; Cardoso, Jaime S.. http://hdl.handle.net/10400.18/5448.
Sensors (Basel). 2017 Sep 21;17(10). pii: E2167. doi: 10.3390/s17102167.
Proposal for a gold standard for cosmetic evaluation after breast conserving therapy: Results from the St George and Wollongong Breast Boost trial. IntroductionBreast cosmesis is an important endpoint of breast conserving therapy (BCT), but a gold standard method of its evaluation is not yet established. The St. George and Wollongong Randomised Breast Boost trial used five different methods of cosmetic assessment, including both subjective and objective, to comprehensively evaluate the cosmetic outcome of the trial patients. This current stud. 2017. Merie,R; Browne,L; Jaime Cardoso; Cardoso,MJ; Chin,Y; Clark,C; Graham,P; Szwajcer,A; Hau,E. http://repositorio.inesctec.pt/handle/123456789/6079.
http://dx.doi.org/10.1111/1754-9485.12645
Foreword to the special issue on pattern recognition and image analysis. 2017. Jaime Cardoso; Pardo,XM; Paredes,R. http://repositorio.inesctec.pt/handle/123456789/6082.
http://dx.doi.org/10.1007/s00521-017-3161-y
Towards a Continuous Biometric System Based on ECG Signals Acquired on the Steering Wheel. Electrocardiogram signals acquired through a steering wheel could be the key to seamless, highly comfortable, and continuous human recognition in driving settings. This paper focuses on the enhancement of the unprecedented lesser quality of such signals, through the combination of Savitzky-Golay and moving average filters, followed by outlier detection and removal based on normalised cross-correla. 2017. Pinto,JR; Jaime Cardoso; Lourenco,A; Carreiras,C. http://repositorio.inesctec.pt/handle/123456789/6078.
http://dx.doi.org/10.3390/s17102228
Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario. The increasing demand for human activity analysis in surveillance scenarios has been triggered by the emergence of new features and concepts to help in identifying activities of interest. However, the characterisation of individual and group behaviours is a topic not so well studied in the video surveillance community due to not only its intrinsic difficulty and large variety of topics involved, b. 2017. Pereira,EM; Ciobanu,L; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/6075.
http://dx.doi.org/10.1007/s00521-016-2282-z
Multi-source deep transfer learning for cross-sensor biometrics. Deep transfer learning emerged as a new paradigm in machine learning in which a deep model is trained on a source task and the knowledge acquired is then totally or partially transferred to help in solving a target task. In this paper, we apply the source-target-source methodology, both in its original form and an extended multi-source version, to the problem of cross-sensor biometric recognition.. 2017. Chetak Kandaswamy; Monteiro,JC; Silva,LM; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/6076.
http://dx.doi.org/10.1007/s00521-016-2325-5
Mobile-Based Analysis of Malaria-Infected Thin Blood Smears: Automated Species and Life Cycle Stage Determination. Microscopy examination has been the pillar of malaria diagnosis, being the recommended procedure when its quality can be maintained. However, the need for trained personnel and adequate equipment limits its availability and accessibility in malaria-endemic areas. Rapid, accurate, accessible diagnostic tools are increasingly required, as malaria control programs extend parasite-based diagnosis and. 2017. Rosado,L; Correia da Costa,JMC; Elias,D; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/6077.
http://dx.doi.org/10.3390/s17102167
Foreword to the special issue on pattern recognition and image analysis. 2017. Cardoso, JS; Pardo, XM; Paredes, R.
10.1007/s00521-017-3161-y
Discriminative directional classifiers. In different areas of knowledge, phenomena are represented by directional-angular or periodic-data; from wind direction and geographical coordinates to time references like days of the week or months of the calendar. These values are usually represented in a linear scale, and restricted to a given range (e.g. [0,2 pi)), hiding the real nature of this information. Therefore, dealing with directiona. 2016. Kelwin Alexander Correia; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/6081.
http://dx.doi.org/10.1016/j.neucom.2016.03.076
Long-range trajectories from global and local motion representations. Motion is a fundamental cue for scene analysis and human activity understanding in videos. It can be encoded in trajectories for tracking objects and for action recognition, or in form of flow to address behavior analysis in crowded scenes. Each approach can only be applied on limited scenarios. We propose a motion-based system that represents the spatial and temporal features of the flow in terms. 2016. Eduardo José Pereira; Jaime Cardoso; Morla,R. http://repositorio.inesctec.pt/handle/123456789/6083.
http://dx.doi.org/10.1016/j.jvcir.2016.06.020
The breast cancer conservative treatment. Cosmetic results - BCCT.core - Software for objective assessment of esthetic outcome in breast cancer conservative treatment: A narrative review. Background and objective: Cosmetic outcome of breast cancer conservative treatment (BCCT) remains without a standard evaluation method. Subjective methods, in spite of their low reproducibility, continue to be the most frequently used. Objective methods, although more reproducible, seem unable to translate all the subtleties involved in cosmetic outcome. The breast cancer conservative treatment co. 2016. Maria João Cardoso; Jaime Cardoso; Hélder Filipe Oliveira; Pedro Filipe Gouveia. http://repositorio.inesctec.pt/handle/123456789/5915.
http://dx.doi.org/10.1016/j.cmpb.2015.11.010
A review of automatic malaria parasites detection and segmentation in microscopic images. Background: Malaria is a leading cause of death and disease in many developing countries, where young children and pregnant women are the most affected groups. In 2012, there were an estimated 207 million cases of malaria, which caused approximately 627 000 malaria deaths. Around 80% of malaria cases occur in Africa, where the lack of access to malaria diagnosis is largely due to a shortage of exp. 2016. Rosado,L; Correia da Costa,JM; Elias,D; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/6080.
A Cognitively-Motivated Framework for Partial Face Recognition in Unconstrained Scenarios. Humans perform and rely on face recognition routinely and effortlessly throughout their daily lives. Multiple works in recent years have sought to replicate this process in a robust and automatic way. However, it is known that the performance of face recognition algorithms is severely compromised in non-ideal image acquisition scenarios. In an attempt to deal with conditions, such as occlusion and. 2015. João Carlos Monteiro; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/6087.
http://dx.doi.org/10.3390/s150101903
Robust classification with reject option using the self-organizing map. Reject option is a technique used to improve classifier's reliability in decision support systems. It consists in withholding the automatic classification of an item, if the decision is considered not sufficiently reliable. The rejected item is then handled by a different classifier or by a human expert. The vast majority of the works on this issue has been concerned with the development of reject. 2015. Sousa,RG; Rocha Neto,ARR; Jaime Cardoso; Barreto,GA. http://repositorio.inesctec.pt/handle/123456789/6084.
http://dx.doi.org/10.1007/s00521-015-1822-2
The failure analysis and lifetime prediction for the solder joint of the magnetic head. Micro-solder joint (MSJ) lifetime prediction methodology and failure analysis (FA) are to assess reliability by fatigue model with a series of theoretical calculations, numerical simulation and experimental method. Due to shortened time of solder joints on high-temperature, high-frequency sampling error that is not allowed in productions may exist in various models, including round-off error. Comb. 2015. Xiao,XH; Peng,MF; Jaime Cardoso; Tang,RJ; Zhou,YL. http://repositorio.inesctec.pt/handle/123456789/6088.
http://dx.doi.org/10.1007/s00339-014-8781-9
Learning from evolving video streams in a multi-camera scenario. Nowadays, video surveillance systems are taking the first steps toward automation, in order to ease the burden on human resources as well as to avoid human error. As the underlying data distribution and the number of concepts change over time, the conventional learning algorithms fail to provide reliable solutions for this setting. In this paper, we formalize a learning concept suitable for multi-. 2015. Samaneh Khoshrou; Jaime Cardoso; Luís Filipe Teixeira. http://repositorio.inesctec.pt/handle/123456789/5967.
http://dx.doi.org/10.1007/s10994-015-5515-y
Differential scorecards for binary and ordinal data. Generalized additive models are well-known as a powerful and palatable predictive modelling technique. Scorecards, the discretized version of generalized additive models, are a long-established method in the industry, due to its balance between simplicity and performance. Scorecards are easy to apply and easy to understand. Moreover, in spite of their simplicity, scorecards can model nonlinear rel. 2015. Silva,PFB; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/6086.
http://dx.doi.org/10.3233/ida-150788
The vitality of pattern recognition and image analysis. 2015. Mico,L; Sanches,JM; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/7201.
http://dx.doi.org/10.1016/j.neucom.2014.09.056
Fingerprint Liveness Detection in the Presence of Capable Intruders. Fingerprint liveness detection methods have been developed as an attempt to overcome the vulnerability of fingerprint biometric systems to spoofing attacks. Traditional approaches have been quite optimistic about the behavior of the intruder assuming the use of a previously known material. This assumption has led to the use of supervised techniques to estimate the performance of the methods, using. 2015. Sequeira,AF; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/6085.
http://dx.doi.org/10.3390/s150614615
A new optical music recognition system based on combined neural network. Optical music recognition (OMR) is an important tool to recognize a scanned page of music sheet automatically, which has been applied to preserving music scores. In this paper, we propose a new OMR system to recognize the music symbols without segmentation. We present a new classifier named combined neural network (CNN) that offers superior classification capability. We conduct tests on fifteen pa. 2015. Wen,CH; Ana Maria Rebelo; Zhang,J; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/6089.
http://dx.doi.org/10.1016/j.patrec.2015.02.002
Closed Shortest Path in the Original Coordinates with an Application to Breast Cancer. Breast cancer is one of the most mediated malignant diseases, because of its high incidence and prevalence, but principally due to its physical and psychological invasiveness. The study of this disease using computer science tools resorts often to the image segmentation operation. Image segmentation, although having been extensively studied, is still an open problem. Shortest path algorithms are e. 2015. Jaime Cardoso; Domingues,I; Hélder Filipe Oliveira. http://repositorio.inesctec.pt/handle/123456789/3765.
http://dx.doi.org/10.1142/s0218001415550022
Signal transmission model for the substations grounding grid. The signal of the wireless sensor network in grounding grid, owing to energy loss, network congestion, path constraints and other factors, is easy to delay even partially losing. In order to ensure that the signal can be transmitted effectively in grounding grids for the substation, this paper presents a method based on traffic model of back-off balanced multiple sensor network cooperation model.. 2014. Xiao,XH; Peng,MF; Jaime Cardoso; Wang,L; Shen,ME. http://repositorio.inesctec.pt/handle/123456789/3568.
http://dx.doi.org/10.1016/j.eswa.2013.07.086
Robust iris localisation in challenging scenarios. The use of images acquired in unconstrained scenarios is giving rise to new challenges in the field of iris recognition. Many works in literature reported excellent results in both iris segmentation and recognition but mostly with images acquired in controlled conditions. The intention to broaden the field of application of iris recognition, such as airport security or personal identification in m. 2014. Monteiro,JC; Sequeira,AF; Hélder Filipe Oliveira; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/3583.
http://dx.doi.org/10.1007/978-3-662-44911-0_10
A 3D low-cost solution for the aesthetic evaluation of breast cancer conservative treatment. Breast cancer conservative treatment (BCCT) is now the preferred technique for breast cancer treatment. The limited reproducibility of standard aesthetic evaluation methods led to the development of objective methods, such as the software tool Breast Cancer Conservative Treatment.cosmetic results (BCCT.core). Although results are satisfying, there are still limitations concerning complete automati. 2014. Hélder Filipe Oliveira; Jaime Cardoso; Magalhães,A; Cardoso,MJ. http://repositorio.inesctec.pt/handle/123456789/5936.
http://dx.doi.org/10.1080/21681163.2013.858403
Corrigendum to "The unimodal model for the classification of ordinal data" [Neural Netw. 21, (2008) 78-79] DOI: 10.1016/j.neunet.2007.10.003.. 2014. Pinto da Costa,J; Alonso,H; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/7200.
http://dx.doi.org/10.1016/j.neunet.2014.06.003
Active Mining of Parallel Video Streams. 2014. Samaneh Khoshrou; Jaime Cardoso; Luís Filipe Teixeira. http://repositorio.inesctec.pt/handle/123456789/5970.
Max-Ordinal Learning. In predictive modeling tasks, knowledge about the training examples is neither fully complete nor totally incomplete. Unlike semisupervised learning, where one either has perfect knowledge about the label of the point or is completely ignorant about it, here we address a setting where, for each example, we only possess partial information about the label. Each example is described using two (or mo. 2014. Domingues,I; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/3659.
http://dx.doi.org/10.1109/tnnls.2013.2287381
Assessing Cosmetic Results After Breast Conserving Surgery. "Taking less treating better" has been one of the major improvements of breast cancer surgery in the last four decades. The application of this principle translates into equivalent survival of breast cancer conserving treatment (BCT) when compared to mastectomy, with a better cosmetic outcome. While it is relatively easy to evaluate the oncological results of BCT, the cosmetic outcome is more diff. 2014. Maria João Cardoso; Hélder Filipe Oliveira; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/3526.
http://dx.doi.org/10.1002/jso.23596
Classification with Reject Option Using the Self-Organizing Map. 2014. Ricardo Sousa; Ajalmar R. da Rocha Neto; Jaime S. Cardoso; Guilherme A. Barreto. http://dx.doi.org/10.1007/978-3-319-11179-7_14.
10.1007/978-3-319-11179-7_14
Active Mining of Parallel Video Streams. 2014. Khoshrou, Samaneh; Cardoso, JaimeS.; Teixeira, LuisFilipe.
Reject Option. Software. 2014. Sousa, Ricardo; Ajalmar R. R. Neto; Guilherme A. Barreto; Jaime S. Cardoso. http://rsousa.org/software.php.
Reduced Set. Software. 2014. Sousa, Ricardo; Guilherme A. Barreto; Jaime S. Cardoso; Ajalmar R. R. Neto. http://rsousa.org/software.php.
The data replication method for the classification with reject option. Classification is one of the most important tasks of machine learning. Although the most well studied model is the two-class problem, in many scenarios there is the opportunity to label critical items for manual revision, instead of trying to automatically classify every item. In this paper we tailor a paradigm initially proposed for the classification of ordinal data to address the classification. 2013. Sousa,R; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/7173.
http://dx.doi.org/10.3233/aic-130566
Analysis of object description methods in a video object tracking environment. A key issue in video object tracking is the representation of the objects and how effectively it discriminates between different objects. Several techniques have been proposed, but without a generally accepted method. While analysis and comparisons of these individual methods have been presented in the literature, their evaluation as part of a global solution has been overlooked. The appearance mo. 2013. Pedro Miguel Carvalho; Oliveira,T; Lucian Ciobanu; Gaspar,F; Luís Filipe Teixeira; Bastos,R; Jaime Cardoso; Dias,MS; Luís Corte Real. http://repositorio.inesctec.pt/handle/123456789/4187.
http://dx.doi.org/10.1007/s00138-013-0523-z
Methods for the Aesthetic Evaluation of Breast Cancer Conservation Treatment: A Technological Review. Breast-conserving approaches aim to attain better aesthetic results in addition to local control and achieving survival rates equivalent to mastectomy in patients with breast cancer. While the oncologic outcome of breast conservation procedures is easily estimated objectively by disease-free and overall survival rates, the cosmetic outcome has no standard of evaluation. Although breast conservatio. 2013. Hélder Filipe Oliveira; Jaime Cardoso; Magalhaes,A; Maria João Cardoso. http://repositorio.inesctec.pt/handle/123456789/5924.
http://dx.doi.org/10.2174/1573405611309010006
Multicriteria models for learning ordinal data: A literature review. Operations Research (OR) and Artificial Intelligence (AI) disciplines have been playing major roles on the design of new intelligent systems. Recently, different contributions from both fields have been made on the models design for problems with multi-criteria. The credit scoring problem is an example of that. In this problem, one evaluates how unlikely a client will default with his payments. Cl. 2013. Sousa,R; Yevseyeva,I; Da Costa,JFP; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/7206.
http://dx.doi.org/10.1007/978-3-642-29694-9-6
Objective assessment of cosmetic outcome after targeted intraoperative radiotherapy in breast cancer: results from a randomised controlled trial. The international randomised targeted intraoperative radiotherapy (TARGIT) trial has demonstrated evidence of non-inferiority between the novel technique of TARGIT (intra-operative radiotherapy with Intrabeam(A (R))) and conventional external beam radiotherapy (EBRT) in women with early breast cancer in terms of the primary outcome measure of risk of local relapse within the treated breast. Cosmes. 2013. Keshtgar,MRS; Williams,NR; Bulsara,M; Saunders,C; Flyger,H; Jaime Cardoso; Corica,T; et al. http://repositorio.inesctec.pt/handle/123456789/7174.
http://dx.doi.org/10.1007/s10549-013-2641-8
Long-term cosmetic changes after breast conserving treatment for patients with stage I-II breast cancer and included in the EORTC `boost versus no boost' trial. 2012. Jaime Cardoso; J. M. Immink; H. Putter; H. Bartelink; Maria João Cardoso. http://repositorio.inesctec.pt/handle/123456789/2459.
INbreast: Toward a Full-field Digital Mammographic Database. Rationale and Objectives Computer-aided detection and diagnosis (CAD) systems have been developed in the past two decades to assist radiologists in the detection and diagnosis of lesions seen on breast imaging exams, thus providing a second opinion. Mammographic databases play an important role in the development of algorithms aiming at the detection and diagnosis of mammary lesions. However, avai. 2012. Moreira, Inês C.; Amaral, Igor; Domingues, Inês; Cardoso, António; Cardoso, Maria João; Cardoso, Jaime S.. http://hdl.handle.net/10400.22/6124.
10.1016/j.acra.2011.09.014
Optical Music Recognition - State-of-the-Art and Open Issues. 2012. Carlos Guedes; Ana Maria Rebelo; Ichiro Fujinaga; F. Paszkiewicz; A. R. S. Marcal; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/3303.
Filling The Gap in Quality Assessment of Video Object Tracking. Current evaluation methods either rely heavily on reference information manually annotated or, by completely avoiding human input, provide only a rough evaluation of the performance of video object tracking algorithms. The main objective of this paper is to present a novel approach to the problem of evaluating video object tracking algorithms. It is proposed to use different types of reference inf. 2012. Luís Corte Real; Pedro Miguel Carvalho; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/3305.
Recommendations for the Aesthetic Evaluation of Breast Cancer Treatment. 2012. Jaime Cardoso; Maria João Cardoso. http://repositorio.inesctec.pt/handle/123456789/2458.
INbreast: Towards a Full Field Digital Mammographic Database. 2012. Maria João Cardoso; Inês Campos Domingues; Antonio Cardoso; Jaime Cardoso; Ines Moreira; Igor Amaral. http://repositorio.inesctec.pt/handle/123456789/2296.
Measuring the performance of ordinal classification. 2011. Ricardo Jorge Sousa; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/2295.
OCI - Ordinal Classification Index. Software. 2011. Sousa, Ricardo; Jaime S. Cardoso. http://rsousa.org/software.php.
Optical recognition of music symbols: A comparative study. Many musical works produced in the past are still currently available only as original manuscripts or as photocopies. The preservation of these works requires their digitalization and transformation into a machine-readable format. However, and despite the many research activities on optical music recognition (OMR), the results for handwritten musical scores are far from ideal. Each of the proposed. 2010. Ana Maria Rebelo; Guilherme Artur Capela; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/1802.
Hybrid framework for evaluating video object tracking algorithms. A simple and efficient hybrid framework for evaluating algorithms for tracking objects in video sequences is presented. The framework unifies state-of-the-art evaluation metrics with diverse requirements in terms of reference information, thus overcoming weaknesses of individual approaches. With foundations on already demonstrated and well known metrics, this framework assumes the role of a flexib. 2010. Pedro Miguel Carvalho; Jaime Cardoso; Luís Corte Real. http://repositorio.inesctec.pt/handle/123456789/3131.
Value of photographic side-views in the objective evaluation of the aesthetic results of breast cancer conservative treatment. The BCCT.core (Breast Cancer Conservative Treatment. cosmetic results) is a software tool created for the objective evaluation of the aesthetic result of Breast Cancer Conservative Treatment (BCCT). It makes use of a face-only photographic view of each patient and might thus have been considered insufficient for an accurate evaluation of the aesthetic result. So far, there are not many studies rep. 2010. Jaime Cardoso; Hélder Filipe Oliveira; Susy Costa; Maria João Cardoso; André T. Magalhães. http://repositorio.inesctec.pt/handle/123456789/1880.
http://dx.doi.org/10.1158/0008-5472.SABCS10-P5-14-17
Comparing Two Objective Methods for the Aesthetic Evaluation of Breast Cancer Conservative Treatment .. 2009. Wilfried Krois; Jaime Cardoso; Thomas Wild; Florian Fitzal; Maria João Cardoso. http://repositorio.inesctec.pt/handle/123456789/1705.
Staff Detection with Stable Paths. 2009. Carlos Guedes; Guilherme Artur Capela; Ana Maria Rebelo; Joaquim Pinto da Costa; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/1692.
Partition-distance methods for assessing spatial segmentations of images and videos. The primary goal of the research on image segmentation is to produce better segmentation algorithms. In spite of almost 50 years of research and development in this field, the general problem of splitting an image into meaningful regions remains unsolved. New and emerging techniques are constantly being applied with reduced success. The design of each of these new segmentation algorithms requires. 2009. Jaime Cardoso; Luís Corte Real; Pedro Miguel Carvalho; Luís Filipe Teixeira. http://repositorio.inesctec.pt/handle/123456789/1687.
A Avaliação da usabilidade de um sistema médico inteligente: BCCT.core. A avaliação estética da mama é um requisito em diversas aplicações médicas, nomeadamente no tratamento conservador do cancro da mama. Para ultrapassar as limitações de reprodutibilidade e praticabilidade dos métodos subjectivos correntes, foi recentemente desenvolvido um sistema inovador, assistido por computador para uso médico, denominado BCCT.core (Breast Cancer Conservative Treatment.cosmetic. 2009. Afonso, Ana Paula; Cardoso, Jaime S.; Cardoso, Maria João; Pérez Cota, Manuel; Instituto Politécnico do Porto. Instituto Superior de Contabilidade e Administração do Porto. http://hdl.handle.net/10400.22/277.
A comprehensive approach to measure cosmetic and functional results of breast conserving therapy - design and first results of a pilot study. 2008. A. Stanton; Maria João Cardoso; Jaime Cardoso; C. Sohn; J. M. Heil; J. Brockhoff; G. Gebauer; E. Jenetzky. http://repositorio.inesctec.pt/handle/123456789/1614.
Long-term cosmetic changes after breast conserving therapy for patients with stage I and II breast cancer treated in the EORTC ``boost versus no boost'' trial. 2008. Maria João Cardoso; Carla C. Warlam-Rodenhuis; Jaime Cardoso; Henk Struikmans; Marcelle Immink; Hein Putter; Job Visser; et al. http://repositorio.inesctec.pt/handle/123456789/3096.
The unimodal model for the classification of ordinal data. 2008. Jaime Cardoso; Joaquim Pinto da Costa; Hugo Alonso. http://repositorio.inesctec.pt/handle/123456789/1554.
Comparing two objective methods for the aesthetic evaluation of breast cancer conservative treatment. 2008. Wilfried Krois; Jaime Cardoso; Thomas Wild; Florian Fitzal; Maria João Cardoso. http://repositorio.inesctec.pt/handle/123456789/1612.
Is Face-Only Photographic View Enough for the Aesthetic Evaluation of Breast Cancer Conservative Treatment?. 2008. Jorgen Johansen; Conny Vrieling; David Christie; Jaime Cardoso; Maria João Cardoso; Andre Magalhaes; Teresa Almeida; Susy Costa. http://repositorio.inesctec.pt/handle/123456789/1621.
Turning subjective into objective: a new tool for the evaluation of breast cancer conservative treatment cosmetic results. The BCCT.core. 2007. Jaime Cardoso; Maria João Cardoso. http://repositorio.inesctec.pt/handle/123456789/1522.
Matched filtering and parameter estimation of ringdown waveforms. 2007. Emanuele Berti; Vitor Cardoso; Marco Cavaglià; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/1539.
Learning to classify ordinal data: the data replication method. 2007. Jaime Cardoso; Joaquim Pinto da Costa. http://repositorio.inesctec.pt/handle/123456789/1500.
Object Segmentation Using Background Modelling and Cascaded Change Detection. The automatic extraction and analysis of visual information is becoming generalised. The first step in this processing chain is usually separating or segmenting the captured visual scene in individual objects. Obtaining a perceptually correct segmentation is however a cumbersome task. Moreover, typical applications relying on object segmentation, such as visual surveillance, introduce two addition. 2007. Luís F. Teixeira; Luís Corte Real; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/1505.
Factors Determining Esthetic Outcome after Breast Cancer Conservative Treatment. 2007. Maria Joao Cardoso; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/1494.
Towards an intelligent medical system for the aesthetic evaluation of breast cancer conservative treatment. 2007. Maria Joao Cardoso; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/1493.
Metadata Assisted Image Segmentation. For over a century the process of capturing electronic images has remained virtually unchanged, with each pixel in the image being a discrete sample of the spatial and temporal continuum being photographed. In a conventional camera, the only recorded information for each pixel is position and colour. The fact is that captured images remain very limited samples of the scene they represent, only giv. 2006. Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/7203.
Interobserver agreement and consensus over the esthetic evaluation of conservative treatment for breast cancer. 2006. Jaime Cardoso; Maria João Cardoso. http://repositorio.inesctec.pt/handle/123456789/1400.
A Measure for Mutual Refinements of Image Segmentations. In this paper, we recover a graph interpretation of the mutual partition distance, proposed recently by Cardoso and Corte-Real. We deduce some properties of this measure, and establish a correspondence with the partition distance introduced by Almudevar and Field and Gusfield, and independently by Guigues. We also present some different formulations for the computation of the mutual partition dist. 2006. Jaime Cardoso; Luís Corte Real. http://repositorio.inesctec.pt/handle/123456789/1425.
Toward a Generic Evaluation of Image Segmentation. 2005. Jaime Cardoso; Luís Corte Real. http://repositorio.inesctec.pt/handle/123456789/1322.
Accumulator size minimization for a fast cumulant-based motion estimation. 2005. Jaime Cardoso; Luís Corte Real. http://repositorio.inesctec.pt/handle/123456789/1391.
Choosing observers for evaluation of aesthetic results in breast cancer conservative treatment. 2005. Jaime Cardoso; Maria João Cardoso; Ana Cristina Santos. http://repositorio.inesctec.pt/handle/123456789/1344.
Modelling ordinal relations with SVMs: an application to Objective Aesthetic Evaluation of Breast Cancer Conservative Treatment. 2005. Jaime Cardoso; Joaquim Pinto da Costa; Maria João Cardoso. http://repositorio.inesctec.pt/handle/123456789/1374.
Classification of Ordinal Data. 2005. Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/1401.
FPGAs Based Hardware Applied to Block-Based Motion Estimation for Real-time Video Processing. 2000. Luís Corte Real; José Carlos Alves; Jaime Cardoso. http://repositorio.inesctec.pt/handle/123456789/1319.

Activities

Supervision

	Thesis Title Role	Degree Subject (Type) Institution / Organization
2023 - 2023	Drawing the Line: Multimodal Lane Estimation for Autonomous Vehicles Co-supervisor	Engenharia Eletrotécnica e de Computadores (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2023 - 2023	Visual Data Processing for Anomaly Detection Co-supervisor	Engenharia Eletrotécnica e de Computadores (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2023 - 2023	AI-based Conditional Generation of Diffusion MR Images Co-supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2023 - 2023	Prediction of knee Osteoarthritis using MRI-based Radiomic Features Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2023 - 2023	Deep Learning for improved NCP quantification and false positive reduction in CCTA Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2023 - 2023	Multimodal Deep Implicit Representations for Autonomous Driving Supervisor	Engenharia Informática e Computação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2022 - 2022	Going 2D: Exploring Learnable Bidimensional Representations for ECG Biometrics Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2022 - 2022	Biomedical Multimodal Explanations – Increasing Diversity and Complementarity in Explainable Artificial Intelligence Supervisor	Engenharia Biomédica (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2022 - 2022	Deep Implicit Representations in Autonomous Driving Supervisor	Engenharia Informática e Computação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2022 - 2022	Efficient Neuromorphic Architectures for Visual Perception Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2022 - 2022	Geometric Deep Learning in Fingerprint Recognition Systems Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2022 - 2022	Transfer Learning Techniques for Classification of Biological Samples using Optical Fingerprint Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2022 - 2022	Towards Biometrically-Morphed Medical Case-based Explanations Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2022 - 2022	Inside Out: Fusing ECG and Face Information to Recognise Emotions Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2022 - 2022	Classification of Cervical Cancer Risk Using Deep Learning Supervisor	Engenharia Eletrotécnica e de Computadores (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2022 - 2022	Robust occupant action classification in shared autonomous vehicles Co-supervisor	Engenharia Informática e Computação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2021 - 2021	Label-efficient learning of LiDAR-based perception models for autonomous driving Co-supervisor	Engenharia Electrotécnica e de Computadores (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2021 - 2021	Feel My Heart: Emotion Recognition Using the Electrocardiogram Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2021 - 2021	Machine Learning para Segmentação de Lesões de Esclerose Múltipla em Imagens de Ressonância Magnética Supervisor	Engenharia Biomédica (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2021 - 2021	Automotive Interior Sensing: Human Interaction Recognition Supervisor	Engenharia Electrotécnica e de Computadores (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2021 - 2021	A privacy-preserving framework for case-based interpretability in machine learning Supervisor	Engenharia Informática e Computação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2021 - 2021	Deep Learning for Backscatter Classification Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2021 - 2021	Generative XAI in Computer-Aided Detection of Glaucoma Risk Supervisor	Engenharia Informática e Computação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2021 - 2021	Make My Heartbeat: Generation and Interlead Conversion of ECG Signals Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2021 - 2021	Protecting IOT devices against cyberattacks using deep learning to classify radio-frequency emissions of code running on the processor Supervisor	Engenharia Electrotécnica e de Computadores (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2021 - 2021	Machine learning in the diagnosis of disorders of consciousness using SMART Supervisor	Engenharia Informática e Computação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2021 - 2021	Diagnóstico assistido por computador no Cancro Colorretal: podemos fazê-lo? Supervisor	Técnicas Laboratoriais em Biopatologia (Master) Instituto Politécnico do Porto Escola Superior de Saúde, Portugal
2020 - 2020	Open World Face Recognition Supervisor	Engenharia Informática e Computação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2020 - 2020	Adversarial Domain Adaptation for Sensor Networks Supervisor	Engenharia Informática e Computação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2020 - 2020	Aquaculture fish quality control using synthetic data Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2020 - 2020	Driver Drowsiness Detection Using Non-Intrusive Eletrocardiogram and Steering Wheel Angle Signals Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2020 - 2020	Automatic assessment of equestrian pain Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2020 - 2020	Reduction of non-regression time through Artificial Intelligence Supervisor	Engenharia Informática e Computação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2020 - 2020	Automotive Interior Sensing - Anomaly Detection Supervisor	Engenharia Electrotécnica e de Computadores (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2020 - 2020	Fingerprint Anti Spoofing – Domain Adaptation and Adversarial Learning Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2020 - 2020	Automotive Interior Sensing - Temporal Consistent Human Body Pose Estimation Supervisor	Engenharia Electrotécnica e de Computadores (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2020 - 2020	Machine Learning Improvements to Human Motion Tracking Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2020 - 2020	Mobile Target Detection and Tracking using Multiple Cooperative Aerial Robots Supervisor	Engenharia Electrotécnica e de Computadores (PhD) Universidade do Porto Faculdade de Engenharia, Portugal
2020 - 2020	A new vision in pathology: from clinical implementation of digital pathology to algorithm development in computational pathology Supervisor	Ciências Médicas (PhD) Universidade do Porto Instituto de Ciências Biomédicas Abel Salazar, Portugal
2019 - 2019	Towards Automatic Detection and Quantification of Gait in Arthritic Rats Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2019 - 2019	Framework for Machine Learning Interpretability Assessment Supervisor	Engenharia Informática e Computação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2019 - 2019	Cervical Cancer Screening: Deep Learning Tools For Automatic Diagnosis Support Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2019 - 2019	Don’t You Forget About Me: Enhancing Long-Term Performance in Electrocardiogram Biometrics Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2019 - 2019	Automation of Waste Sorting with Deep Learning Supervisor	Engenharia Electrotécnica e de Computadores (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2019 - 2019	Glaucoma in Fundus Image Supervisor	Engenharia Informática e Computação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2019 - 2019	Deep Aesthetic Assessment of Breast Cancer Surgery Outcomes Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2019 - 2019	Seamless Multimodal Biometrics for Continuous Personalised Wellbeing Monitoring Supervisor	Engenharia Electrotécnica e de Computadores (PhD) Universidade do Porto Faculdade de Engenharia, Portugal
2018 - 2018	Automotive Interior Sensing Imaging solutions Supervisor
2018 - 2018	Vehicle's Interior Presence Detection and Notification System Supervisor
2018 - 2018	Efficiently Scaling the Annotation of Tennis Videos via Crowdsourcing Supervisor	Universidade do Porto Faculdade de Engenharia, Portugal
2018 - 2018	CNN-Based Refinement for Image Segmentation Supervisor
2018 - 2018	Facial Expression Recognition: Towards Meaningful Prior Knowledge in Deep Neural Networks Supervisor
2018 - 2018	New Learning Strategies in Deep Models for Breast Cancer Screening Supervisor
2018 - 2018	Driver drowsiness detection using non-intrusive signal acquisition Supervisor
2018 - 2018	Reinforcement Learning for Primary care e Appointment Scheduling Supervisor	Engenharia da Informação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2018 - 2018	Learning from multi-entity data Supervisor	Ciência de Computadores (PhD) Universidade do Porto Faculdade de Ciências, Portugal
2018 - 2018	Solving Sparse-Reward Problems in Robot Manipulation Tasks using Deep Reinforcement Learnin Supervisor	Matemática Aplicada (associação) (PhD) Universidade do Porto Faculdade de Ciências, Portugal
2018 - 2018	Efficiently annotating a thousand hours of Tennis Videos via Crowdsourcing Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2018 - 2018	On the Role of Facial Expressiveness in the Sign Language Recognition Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2018 - 2018	Automotive Interior Sensing – Imaging Solutions Supervisor	Engenharia Electrotécnica e de Computadores (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2018 - 2018	Vehicle’s Interior Presence Detection and Notification System Supervisor	Engenharia Electrotécnica e de Computadores (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2018 - 2018	CNN-Based Refinement for Image Segmentation Supervisor	Engenharia Informática e Computação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2018 - 2018	Driver drowsiness detection using non-intrusive signal acquisition Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2018 - 2018	New Learning Strategies in Deep Models for Breast Cancer Screening Supervisor	Engenharia Informática e Computação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2018 - 2018	Deep Aesthetic Assessment of Breast Cancer Surgery Outcomes Supervisor	Engenharia Electrotécnica e de Computadores (PhD) Universidade do Porto Faculdade de Engenharia, Portugal
2014 - 2018	Fundamental Topics in Machine Intelligence and their Application to Digital Colposcopy Supervisor
2013 - 2018	Computer-aided Detection of Malaria Parasites Supervisor
2012 - 2018	Toward a 3D Planning Approach for Breast Conserving Surgery Co-supervisor
2017 - 2017	Reinforcement Learning for Primary Care Appointment Scheduling Supervisor
2017 - 2017	Analise e Classificacao de Imagem Hiper-espectral Supervisor
2017 - 2017	Analise Automatica de Melanoma Utilizando Imagens Dermatoscopicas Supervisor
2017 - 2017	Rotated Filters and Learning Strategies in Convolutional Neural Networks for Mammographic Lesions Detection Supervisor
2017 - 2017	Automatic Assessment of Infantile Hemangiomas Supervisor
2017 - 2017	Performance assessment and prediction of football players: Tailoring an architecture with spatiotemporal positional and physiological features Supervisor
2017 - 2017	Driver's Fatigue State Monitoring using Physiological Signals Supervisor
2017 - 2017	Continuous Biometric Identification on the Steering Wheel Supervisor
2017 - 2017	Análise e Classificação de Imagem Hiper-espectral Supervisor	Engenharia da Informação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2017 - 2017	Análise Automática de Melanoma Utilizando Imagens Dermatoscópicas Supervisor	Engenharia Informática e Computação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2017 - 2017	Driver’s Fatigue State Monitoring using Physiological Signals Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2017 - 2017	Rotated Filters and Learning Strategies in Convolutional Neural Networks for Mammographic Lesions Detection Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2017 - 2017	Continuous Biometric Identification on the Steering Wheel Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2017 - 2017	Automatic Assessment of Infantile Hemangiomas Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2017 - 2017	Performance assessment and prediction of football players: Tailoring an architecture with spatiotemporal positional and physiological features Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2017 - 2017	Rethinking a deep learning pipeline for images Supervisor	Informática (PhD) Universidade do Porto Faculdade de Engenharia, Portugal
2012 - 2017	Multimodal Biometric Recognition Under Unconstrained Settings Supervisor
2011 - 2017	Learning in Evolving Video Streams Supervisor
2016 - 2016	Measuring Impedance in Congestive Heart Failure Supervisor	Engenharia Electrotécnica e de Computadores (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2016 - 2016	Machine Learning for Supermarket Data Analysis Supervisor	Engenharia da Informação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2016 - 2016	3D Face Recognition Under Unconstrained settings using Low-Cost Sensors Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2016 - 2016	Machine Learning Applied to Fall Prediction and Detection Using Wearable Sensors Supervisor	Engenharia Biomédica (PhD) Universidade do Porto Faculdade de Engenharia, Portugal
2013 - 2016	Contributions on Deep Transfer Learning Supervisor
2011 - 2016	Humans in Action at Different Levels: the group, the whole and the parts Supervisor
2015 - 2015	Image processing methodology for blood cell counting via mobile devices Supervisor	Bioengenharia (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2015 - 2015	Hierarchical Dynamical Systems Supervisor	Engenharia Electrotécnica e de Computadores (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2015 - 2015	Mobile multimodal biometric identification for african communities Supervisor	Engenharia Electrotécnica e de Computadores (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2015 - 2015	Fundamental topics in machine intelligence and their application to digital colposcopy Supervisor	Informática (PhD) Universidade do Porto Faculdade de Engenharia, Portugal
2011 - 2015	Liveness Detection and Robust Recognition in Iris and Fingerprint Biometric Systems Supervisor
2009 - 2015	An automatic mammogram system: from screening to diagnosis Supervisor
2009 - 2015	Zatlab: Recognizing gestures for artistic performance interaction Co-supervisor
2014 - 2014	Computer-aided Detection of Malaria Parasites Supervisor	Engenharia Biomédica (PhD) Universidade do Porto Faculdade de Engenharia, Portugal
2014 - 2014	Liveness detection in biometrics Supervisor	Engenharia Electrotécnica e de Computadores (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2014 - 2014	Contributions to the Automatic Recognition of Portuguese Sign Language Supervisor	Engenharia da Informação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2014 - 2014	Video Analysis in Indoor Soccer with a Quadcopter Supervisor	Engenharia Electrotécnica e de Computadores (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2014 - 2014	Ensemble methods in ordinal data classification Supervisor	Engenharia Informática e Computação (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2014 - 2014	A Comparative Study on Fingerprint Matching Algorithms Supervisor	Engenharia Matemática (Master) Universidade do Porto Faculdade de Ciências, Portugal
2013 - 2013	Liveness Detection and Robust Recognition in Iris and Fingerprint Biometric Systems Supervisor	Engenharia Electrotécnica e de Computadores (PhD) Universidade do Porto Faculdade de Engenharia, Portugal
2013 - 2013	Contributions on Deep Transfer Learning Supervisor	Telecomunicações (PhD) Universidade do Porto Faculdade de Engenharia, Portugal
2013 - 2013	Multimodal Biometric Recognition under Unconstrained Settings Supervisor	Engenharia Electrotécnica e de Computadores (PhD) Universidade do Porto Faculdade de Engenharia, Portugal
2013 - 2013	KITE-Tracking da Bola em Jogos de Futsal com Vídeo Supervisor	Engenharia Electrotécnica e de Computadores (Master) Universidade do Porto Faculdade de Engenharia, Portugal
2008 - 2013	An Affordable and Practical 3D Solution for the Aesthetic Evaluation of Breast Cancer Conservative Treatment Supervisor
2012 - 2012	Learning in evolving video streams Supervisor	Telecomunicações (PhD) Universidade do Porto Faculdade de Engenharia, Portugal
2008 - 2012	Robust Optical Recognition of Handwritten Musical Scores based on Domain Knowledge Supervisor
2008 - 2012	Multicriteria learning on ordinal data Supervisor
2007 - 2012	Video Object Tracking - Contributions to Object Description and Performance Assessment Co-supervisor
2011 - 2011	Humans in Action at Different Levels: the group, the whole, and the parts Supervisor	Media Digitais (PhD) Universidade do Porto Faculdade de Engenharia, Portugal
2011 - 2011	An automatic mammogram system: from screening to diagnosis Supervisor	Engenharia Electrotécnica e de Computadores (PhD) Universidade do Porto Faculdade de Engenharia, Portugal
2010 - 2010	Robust optical recognition of handwritten musical scores based on domain knowledge Supervisor	Engenharia Electrotécnica e de Computadores (PhD) Universidade do Porto Faculdade de Engenharia, Portugal
2010 - 2010	An Affordable and Practical 3D Solution for the Aesthetic Evaluation of Breast Cancer Conservative Treatment Supervisor	Engenharia Electrotécnica e de Computadores (PhD) Universidade do Porto Faculdade de Engenharia, Portugal
2010 - 2010	Multicriteria Learning on Ordinal Data Supervisor	Engenharia Electrotécnica e de Computadores (PhD) Universidade do Porto Faculdade de Engenharia, Portugal

Association member

	Society Organization name	Role
2011 - Current	IEEE	Senior Member

Distinctions

Award

2018	“Research Stimulus Award 2016” awarded to the top FEUP Researchers Universidade do Porto Faculdade de Engenharia, Portugal
2017	The best paper award at RecPad
2017	3rd Place in the TiSeLaC: Time Series Land Cover Classification Challenge (role: team supervisor)
2017	Silver Medal in Kaggle Competition “Intel & MobileODT Cervical Cancer Screening” (role: team supervisor)
2017	“Research Stimulus Award 2015”, awarded by the Faculty of Engineering of the University of Porto to the top Researchers
2017	Supervisor of the thesis awarded "Cum Laude" at PDEEC in 2015 (author Inês Domingues)
2016	3rd place in first round of Breast Cancer Screening International DREAM Challenge, (role: team supervisor)
2015	“The best student paper award” (co-author and student supervisor) at ICPRAM.
2014	co-advisor of the PhD thesis awarded with “Prémio Fundação Eng. António de Almeida”, Pedro Miguel Machado Soares Carvalho
2013	I have been distinguished in the University of Porto’s news portal
2013	First Place in the IEEE BTAS 2013: LivDet – Iris 2013: Iris Liveness Detection Competition
2013	First Place in the ICDAR 2013 Music Scores Competition: Staff Removal (task: staff removal with local noise)
2013	I have been distinguished in the INESC TEC Boletim (BIP), as ‘Fora de Série’ (limetime section)
2012	Portuguese Society of Senology Award to the Breast Research Group of INESC Porto for the scientific activity in breast research
2011	Honorable Mention in the Exame Informática Award 2011, in software category, for project “Semantic PACS”.
2010	Fundação Luso-Americana Award for the communications “Classification Models with Global Constraints for Ordinal Data” and “An all-at-once Unimodal SVM Approach for Ordinal Classification" in International Conference in Machine Learning Applications, ICMLA
2010	Carnegie Mellon\|Portugal Fellow, under the Carnegie Mellon\|Portugal Program, for a 4-month visit to Carnegie Mellon, USA, engaging in research and teaching activities (Jan-May 2010).
2009	“Research Stimulus Award”, awarded by the Faculty of Engineering of the University of Porto to the top 10% Researchers, Nov 2009
2008	“Research Stimulus Award”, awarded by the Faculty of Engineering of the University of Porto to the top 10% Researchers, Nov 2008.
2007	Fundação Luso-Americana Award for the communication “Object-based spatial segmentation of video guided by depth and motion information" in Workshop Motion Video Computing, Texas, 2007.
2005	Fundação Gulbenkian Award for the communication “SVMs Applied to Objective Aesthetic Evaluation of Conservative Breast Cancer Treatment”, in the International Joint Conference on Neural Networks (IJCNN), Montreal, 2005.
2001	Individual Doctoral FCT Fellowship (reference SFRH/BD/7110/2001), to pursue the Doctoral Studies
2001	Fellowship in the company Snell & Wilcox, May-Jul 2001, integrated in the MetaVision European project.
1999	“Prémio Eng. António de Almeida” award from University of Porto, rewarding the best student in Electrical and Computer Engineering, Faculty of Engineering of the University of Porto, finishing the degree in 1999.
1999	Best Student Award, University of Porto, Fellowship for the academic year 1998/99.
1998	Best Student Award, University of Porto, Fellowship for the academic year 1997/98.
1997	Best Student Award, University of Porto, Fellowship for the academic year 1996/97.
1994	Participation in the Ibero-american mathematical Olympiads, Brazil, 1994.
1994	Bronze medal in the Portuguese Mathematical Olympiad, 1994
1994	“Prémio Santos Graça” award from Rotary Clube at Póvoa de Varzim, rewarding the best student in the final year of the secondary school studies at Escola Secundária de Rocha Peixoto, in Sep 1994.
1994	Honored a Board of Excellence Award as a recognition of Excellency in the studies, by Escola Secundária de Rocha Peixoto, academic year 1993/94.
1993	“Prémio Lyons Clube da Póvoa de Varzim” award, rewarding the best student in the eleventh year of the secondary school studies at Escola Secundária de Rocha Peixoto, in Oct 1993.
1993	First place in the Regional stage of the Physics Olympiads, organized by the Portuguese Physics Society in the Faculty of Science of the University of Porto, 1993.
1992	Honored a Board of Excellence Award as a recognition of Excellency in the studies, by Escola Secundária de Rocha Peixoto, academic year 1991/92.
1991	“Prémio Lyons Clube da Póvoa de Varzim” award, rewarding the best student in the ninth year of the secondary school studies at Escola Secundária de Rocha Peixoto, in Oct 1991.

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2011	IEEE Senior Member