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Identification

Personal identification

Full name
Cláudia Santos Constantino

Citation names

  • Constantino, Cláudia
  • Constantino, C. S.
  • Cláudia S. Constantino

Author identifiers

Ciência ID
6711-7326-A555
ORCID iD
0000-0003-4320-8437

Email addresses

  • c.constantino1107@gmail.com (Professional)
  • claudia.constantino@research.fchampalimaud.org (Professional)
  • claudia.constantino@fundacaochampalimaud.pt (Professional)

Telephones

Telephone
  • (+351) 915418717 (Personal)

Websites

Knowledge fields

  • Engineering and Technology - Medical Engineering

Languages

Language Speaking Reading Writing Listening Peer-review
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Portuguese (Mother tongue)
Education
Degree Classification
2023/02 - 2026/02
Ongoing
 Biomedical Engineering (Doutoramento)
Universidade de Lisboa Instituto Superior Técnico, Portugal
2014/09/20 - 2019/11/14
Concluded
 Biomedical Engineering (Mestrado integrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
"Reproducibility study of tumor biomarkers extracted from Positron Emission Tomography images with 18F-Fluorodeoxyglucose" (THESIS/DISSERTATION)
 17
2017/09/01 - 2018/06/01
Concluded
 ERASMUS+ in Biomedical Engineering (Master)
Politecnico di Milano, Italy
Affiliation

Science

Category
Host institution 		Employer
2021/01/01 - Current Researcher (Research) Fundação Champalimaud, Portugal
2020/01/06 - 2020/12/31 Researcher (Research) Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal

Others

Category
Host institution 		Employer
2019/01 - 2019/11 Master's thesis student Fundação Champalimaud, Portugal
2017/02/01 - 2017/02/28 Curricular internship at the Nuclear Medicine-Radiopharmacology department Fundação Champalimaud, Portugal
Projects

Grant

Designation Funders
2020/01/06 - 2020/12/31 PREDICT - Personalized therapy for RhEumatic DIseases via machine learning
PTDC/CCI-CIF/29877/2017
Researcher
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
 Fundação para a Ciência e a Tecnologia
Ongoing

Contract

Designation Funders
2021/01/01 - 2023/02/28 LyRaCAD - Sistema CAD para análise de imagens PET/CT com FDG em linfomas - uma abordagem Radiomics
LISBOA-01-0247-FEDER-039885
Researcher
Fundação Champalimaud, Portugal
Ongoing
Outputs

Publications

Book chapter
  1. Constantino, Cláudia; Carvalho, Alexandra M.; Vinga, Susana. "Sparse Consensus Classification for Discovering Novel Biomarkers in Rheumatoid Arthritis". In Machine Learning, Optimization, and Data Science, 125-136. Italy: Springer International Publishing, 2020.
    10.1007/978-3-030-64583-0_13
Conference abstract
  1. Cláudia S. Constantino; Oliveira, Francisco; Ana Canudo; Ricardo Teixeira; Cláudia Matos; Sandra Vieira; Justyna Kociolek; et al. "Pre-treatment [18F]FDG PET-based lesion features predict clinical radiation pneumonitis after lung radiotherapy". Paper presented in SNMMI 2025 Annual Meeting, 2025.
    Submitted
  2. Carla Oliveira; Oliveira, Francisco; Cláudia S. Constantino; Maria João Brito; Fátima Cardoso; Campos Costa, Durval. "Association between PET-based features reflecting intensity and heterogeneity of [18F]FDG uptake and immunohistochemical markers in breast cancer of no special type and lobular type". Paper presented in 37th Annual Congress of the European Association of Nuclear Medicine, Hamburg, 2024.
    Published
  3. Luísa C. Silva; Cláudia S. Constantino; Oliveira, Francisco; Costa, Durval C.. "A comparative study on deep-learning-based approaches for denoising ultra-fast whole-body [18F] FDG PET/CT". Paper presented in 37th Annual Congress of the European Association of Nuclear Medicine, Hamburg, 2024.
    Published
  4. Oliveira, Francisco; Constantino, Cláudia; Ângelo Silva; Castanheira, Joana C.; Rita Oliveira; Marisa Machado; Costa, Durval C.. "Deep-learning-based fully automatic malignant lesions segmentation in whole-body [68Ga]Ga-PSMA PET/CT scans originates comparable results as expert-based identification and segmentation". Paper presented in 37th Annual Congress of the European Association of Nuclear Medicine, Hamburg, 2024.
    Published
  5. Marisa Machado; Oliveira, Francisco; Cláudia S. Constantino; Jorge Fonseca; Costa, Durval C.. "Prediction of biochemical recurrence in patients following radical prostatectomy using preoperative [68Ga]Ga-PSMA PET/CT prostate lesion uptake features". Paper presented in 37th Annual Congress of the European Association of Nuclear Medicine, Hamburg, 2024.
    Published
  6. Joana Castanheira; Ricardo Teixeira; Constantino, Cláudia; Oliveira, Francisco; Costa, Durval C.. "Effect of post-injection acquisition time on the qualitative evaluation of whole-body [68Ga]Ga-PSMA PET/CT scans". Paper presented in 37th Annual Congress of the European Association of Nuclear Medicine, Hamburg, 2024.
    Published
  7. Maria Iláco; Oliveira, Francisco; Constantino, Cláudia; José Fonseca; Costa, Durval C.. "Segmentation of cerebrum grey matter in [18F]FDG PET imaging using convolutional neural networks". Paper presented in 37th Annual Congress of the European Association of Nuclear Medicine, Hamburg, 2024.
    Published
  8. Constantino, Cláudia; Oliveira, Francisco; Ana Canudo; Ricardo Teixeira; Cláudia Matos; Sandra Vieira; Justina Kociolek; et al. "Predicting lung cancer response to radiotherapy with pre- and early post-treatment [18F]FDG PET/CT imaging". Paper presented in 37th Annual Congress of the European Association of Nuclear Medicine, Hamburg, 2024.
    Published
  9. Constantino, Cláudia; Oliveira, Francisco; Vinga, Susana; Costa, Durval C.. "Fully automatic lesions segmentation on whole-body [18F]FDG PET/CT using maximum intensity projections images and deep-learning: a novel approach". Paper presented in 37th Annual Congress of the European Association of Nuclear Medicine, Hamburg, 2024.
    Published
  10. Cláudia S. Constantino; Oliveira, Francisco; Joana Castanheira; Campos Costa, Durval. "Impact of fully automatic deep-learning-based segmentation in tumor quantification of [18F]FDG PET/CT scans". Paper presented in SNMMI 2024 Annual Meeting, Chicago, 2024.
    Published
  11. C. Silva, Luísa; Constantino, Cláudia; Silva, Mariana; Oliveira, Francisco; Campos Costa, Durval. Corresponding author: C. Silva, Luísa. "Inteligência artificial para remoção de ruído em aquisições ultra-rápidas PET/CT com [18F]FDG". Paper presented in XIX Congresso Nacional de Medicina Nuclear, Almada, 2024.
    Published
  12. Constantino, Cláudia; Oliveira, Francisco; Silva, Mariana; Canudo, Ana; Teixeira, Ricardo; Cláudia Matos; Sandra Vieira; et al. Corresponding author: Constantino, Cláudia. "Quantificação de lesões pulmonares em [18F]FDG PET/CT para prever a resposta local à radioterapia". Paper presented in XIX Congresso Nacional de Medicina Nuclear, Almada, 2024.
    Published
  13. Constantino, C. S.; Oliveira, F. P. M.; Leocadio, S.; Silva, M.; Oliveira, C.; Castanheira, J. C.; Silva, A.; et al. "Deep learning-based fully automatic segmentation of whole-body [18F]FDG PET/CT images from lymphoma patients: addition of CT data has poor impact on networks performance". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2023.
    Published
  14. Silva, L. C.; Constantino, C. S.; Silva, M.; Oliveira, F. P. M.; Vigario, R.; Costa, D. C.. "Image quantitative parameters using deep learning-based denoising of ultra-fast whole-body [18F]FDG PET/ CT are comparable to standard acquisitions". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2023.
    Published
  15. Constantino, C. S.; Silva, M.; Oliveira, F. P. M.; Costa, D. C.. "Feasibility and reproducibility of radiomic features in real world whole-body [18F]FDG PET/CT oncology studies". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2023.
    Published
  16. Oliveira, F.; Silva, A.; Castanheira, J.; Silva, M.; Constantino, C.; Costa, D. C.. "Deep learning is a promising tool for fully automatic malignant lesions identification and segmentation in whole-body bone scans". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2023.
    Published
  17. Sobral, M.; Oliveira, M.; Constantino, C.; Oliveira, F.; Matela, N.; Costa, D. C.. "Primary tumour type impacts 3D U-Net for [18F]FDG PET lesion segmentation performance in cases of lung cancer, melanoma, and lymphoma". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2023.
    Published
  18. Oliveira, Francisco; Cláudia S. Constantino; Ângelo Silva; Joana C. Castanheira; Rita Oliveira; Costa, Durval C.. "Deep learning is a promising tool for fully automatic malignant lesions identification and segmentation in whole-body [68Ga]Ga-PSMA PET/CT scans". Paper presented in RSNA 2023 Annual Meeting, Chicago, 2023.
    Published
  19. Oliveira, C.; Oliveira, F.; Constantino, C.; Marques, H. Pinto; Cardoso, F.. "SUV-based features from baseline 2-[18F]FDG-PET/CT in breast cancer patients differentiate tumor phenotypes but do not predict pathologic response to neoadjuvant chemotherapy". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2022.
    Published
  20. Ribeiro, A.; Leite, P.; Constantino, C. S.; Leocadio, S.; Oliveira, F.; Silva, M.; Oliveira, C.; et al. "Feasibility of fully automated deep learning-based segmentation of lymphoma lesions in whole-body [18F]FDG PET/CT images". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2022.
    Published
  21. Constantino, C. S.; Silva, M.; Oliveira, F. P. M.; Costa, D. C.. "Feasibility of very fast whole-body [18F]FDG PET/CT acquisitions using a digital scanner without image enhancement technology". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2022.
    Published
  22. Constantino, C. S.; Leocadio, S.; Oliveira, F. P. M.; Silva, M.; Oliveira, C.; Castanheira, J. C.; Silva, A.; et al. "Quantification of patient's tumor burden for the differentiation of lymphomas with [18F]FDG PET images". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2022.
    Published
  23. Rita Oliveira; Francisco P. M. Oliveira; Cláudia S. Constantino; Lina Vieira; Mauro Costa; Campos Costa, Durval. Corresponding author: Rita Oliveira. "Comparison of quantitative measures between EARL1 and EARL2 specifcations in PET/CT studies using Gallium-68". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2021.
    Published • 10.1007/s00259-021-05547-1
  24. Cláudia S. Constantino; Sónia Leocádio; Francisco P. M. Oliveira; Mariana Silva; Carla Oliveira; Joana C. Castanheira; Ângelo Silva; et al. Corresponding author: Cláudia S. Constantino. "Quantifcation of whole-body [18F]FDG avid lymphoma lesions: advantages of semiautomatic over manual segmentation". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2021.
    Published
  25. Ricardo Teixeira; Joana C. Castanheira; Ângelo Silva; Sofia Vaz; Mariana Silva; Ana Canudo; Rita Oliveira; et al. Corresponding author: Ricardo Teixeira. "[ 123I]FP-CIT SPECT reconstruction: FBP versus OSEM with resolution recovery - a quantitative and qualitative comparison". Paper presented in Annual Congress of the European Association of Nuclear Medicine, 2021.
    Published
  26. Constantino, C. S. (6711-7326-A555); Oliveira, F. P. M.; Silva, M.; Oliveira, C.; Castanheira, J. C.; Silva, Â.; Vaz, S. C.; Vieira, P.; Costa, D. C.. "Segmentação automática de lesões ávidas para FDG em PET/CT baseada numa técnica de clustering bayesiana". Paper presented in Congresso Nacional de Medicina Nuclear, Porto, 2019.
  27. Constantino, C. S.; Oliveira, F. P. M.; Silva, M.; Oliveira, C.; Castanheira, J. C.; Silva, Â.; Vaz, S. C.; Vieira, P.; Costa, D. C.. "Extração de características de lesões ávidas para FDG: estudo da reprodutibilidade entre Philips Vereos Digital e GEMINI TF16 PET/CT". Paper presented in Congresso Nacional de Medicina Nuclear, Porto, 2019.
  28. Constantino, C. S. (6711-7326-A555); Oliveira, F. P. M.; Silva, M.; Oliveira, C.; Castanheira, J. C.; Silva, Â.; Vaz, S. C.; Vieira, P.; Costa, D. C.. "Reproducibility Study of Lesion Features Extracted from 18F-FDG PET Images of the Same Patients Acquired on Two Philips PET/CT Scanners: Digital VEREOS versus GEMINI TF". Paper presented in Annual Congress of the European Association of Nuclear Medicine, Barcelona, 2019.
    Published • 10.1007/s00259-019-04486-2
Conference paper
  1. Constantino, Cláudia S.; Oliveira, Francisco P. M.; Leocádio, Sónia; Silva, Mariana; Oliveira, Carla; Castanheira, Joana C.; Silva, Ângelo; et al. "A robust deep-learning model for fully automatic segmentation of lymphoma lesions on whole-body [18F]FDG PET/CT images". Paper presented in IEEE International Symposium on Biomedical Imaging, 2024.
    Published • 10.1109/isbi56570.2024.10635135
Journal article
  1. Cláudia S. Constantino; Oliveira, Francisco; Machado, Marisa; Vinga, Susana; Campos Costa, Durval. "The use of maximum intensity projections and deep learning adds value to the fully automatic segmentation of lesions avid for [18F]FDG and [68Ga]Ga-PSMA in PET/CT". The Journal of Nuclear Medicine (2025):
    Accepted
  2. Oliveira, Francisco; Cláudia S. Constantino; Durval Campos Costa. "Commentary: "Interhemispheric cortical thickness asymmetry is an imaging biomarker of dementia type"". European Radiology (2025):
    Accepted
  3. David Haberl; Jing Ning; Kilian Kluge; Katarina Kumpf; Josef Yu; Zewen Jiang; Claudia Constantino; et al. "Generative artificial intelligence enables the generation of bone scintigraphy images and improves generalization of deep learning models in data-constrained environments". European Journal of Nuclear Medicine and Molecular Imaging (2025): http://dx.doi.org/10.1007/s00259-025-07091-8.
    10.1007/s00259-025-07091-8
  4. Carla Oliveira; Francisco Oliveira; Cláudia Constantino; Celeste Alves; Maria José Brito; Fátima Cardoso; Durval C. Costa. "Baseline [18F]FDG PET/CT and MRI first-order breast tumor features do not improve pathological complete response prediction to neoadjuvant chemotherapy". European Journal of Nuclear Medicine and Molecular Imaging (2024): https://doi.org/10.1007/s00259-024-06815-6.
    10.1007/s00259-024-06815-6
  5. Cláudia S. Constantino; Sónia Leocádio; Francisco P. M. Oliveira; Mariana Silva; Carla Oliveira; Joana C. Castanheira; Ângelo Silva; et al. "Evaluation of Semiautomatic and Deep Learning-Based Fully Automatic Segmentation Methods on [18F]FDG PET/CT Images from Patients with Lymphoma: Influence on Tumor Characterization". Journal of Digital Imaging (2023): https://doi.org/10.1007/s10278-023-00823-y.
    10.1007/s10278-023-00823-y
  6. Constantino, Cláudia S.; Carvalho, Alexandra M.; Vinga, Susana. "Coupling sparse Cox models with clustering of longitudinal transcriptomics data for trauma prognosis". BioData Mining 14 1 (2021): http://dx.doi.org/10.1186/s13040-021-00257-8.
    10.1186/s13040-021-00257-8
  7. Constantino, Cláudia S.; Oliveira, Francisco P. M.; Silva, Mariana; Oliveira, Carla; Castanheira, Joana C.; Silva, Ângelo; Vaz, Sofia C.; Vieira, Pedro; Costa, Durval C.. "Are lesion features reproducible between 18F-FDG PET/CT images when acquired on analog or digital PET/CT scanners?". European Radiology 31 5 (2020): 3071-3079. http://dx.doi.org/10.1007/s00330-020-07390-8.
    Published • 10.1007/s00330-020-07390-8
Thesis / Dissertation
  1. Constantino, Cláudia S.. "Reproducibility Study of Tumor Biomarkers Extracted from Positron Emission To-mography Images with 18F-Fluorodeoxyglucose". Master, Universidade Nova de Lisboa, 2019. http://hdl.handle.net/10362/91156.
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2025/02/07 Invited Speaker: " Para Além do que os Olhos Veem: A tecnologia aliada à imagem médica nas doenças oncológicas e neurodegenerativas" 60 Anos | 60 Aulas
Externato Cooperativo da Benedita (Portugal)
2022/05/26 Invited Speaker: "Noções básicas de segmentação e quantificação em imagem médica" XVIII National Congress of Nuclear Medicine 2022
Sociedade Portuguesa de Medicina Nuclear (Coimbra , Portugal)
2020/07 Sparse Consensus Classification for Discovering Novel Biomarkers in Rheumatoid Arthritis International Conference on Machine Learning, Optimization, and Data Science
(Italy)

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2017/01/30 - 2017/02/01 Main Organizer of BEST Week 2017 (3 days with companies and workshops for engineering students). (2017/01/30 - 2017/02/01)
Workshop
 Universidade Nova de Lisboa, Portugal

Event participation

Activity description
Type of event 		Event name
Institution / Organization
2021/10/20 - 2021/10/23 Participation in "34th Annual Congress of the European Association of Nuclear Medicine"
Congress
 34th Annual Congress of the European Association of Nuclear Medicine
European Association of Nuclear Medicine, Austria
2021/10/13 - 2021/10/15 Dialogues on Neural and Machine Intelligence
Symposium
 Champalimaud Research Symposium 2021
Fundação Champalimaud, Portugal
2019/11/15 - 2019/11/15 Participation in "Symposium on Imaging Hallmarks of Cancer - Pancreatic Cancer: From Cell Biology to Treatment" Symposium on Imaging Hallmarks of Cancer
Fundação Champalimaud, Portugal
2019/10 - 2019/10 Participation in "32nd Annual Congress of the European Association of Nuclear Medicine", Barcelona, Espanha
Congress
 32nd Annual Congress of the European Association of Nuclear Medicine
European Association of Nuclear Medicine, Austria
2019/05/17 - 2019/05/18 Participation in "The Wizardry of Artificial Intelligence", Lisboa The Wizardry of Artificial Intelligence
Fundação Champalimaud, Portugal

Ad Hoc journal article review

Journal title (ISSN) Publisher
2024 - Current Insights into imaging
2023 - Current The British journal of radiology
2022 - Current European Radiology (1613-3749) Springer
2021 - Current International Journal of Computer Assisted Radiology and Surgery (1861-6429) Springer
Distinctions

Award

2024 Best International Abstract Award
Society of Nuclear Medicine and Molecular Imaging, United States