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Helena Montenegro obtained a MSc degree in informatics and computing engineering from the Faculty of Engineering of the University of Porto in 2021. She is currently a PhD candidate in informatics engineering at the Faculty of Engineering of the University of Porto, and a research assistant at INESC TEC. Her main research interests include Machine Learning and Computer Vision, with a special focus on privacy-preserving methods for visual data and interpretability.
Identification

Personal identification

Full name
Maria Helena Sampaio de Mendonça Montenegro e Almeida

Citation names

  • Montenegro, Helena

Author identifiers

Ciência ID
AB11-0D1D-9218
ORCID iD
0000-0001-6237-3011

Email addresses

  • up201604184@up.pt (Professional)
  • maria.h.sampaio@inesctec.pt (Professional)

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Education
Degree Classification
2021/09/01 - 2024/07/31
Ongoing
 Programa Doutoral em Engenharia Informática (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal
2016/09/01 - 2021/07/31
Concluded
 Mestrado Integrado em Engenharia Informática e Computação (Mestrado integrado)
Universidade do Porto Faculdade de Engenharia, Portugal
"A privacy-preserving framework for case-based interpretability in machine learning" (THESIS/DISSERTATION)
 18
2013/09/01 - 2016/07/31
Concluded
 Curso de Ciências e Tecnologias (Ensino secundário)
Agrupamento de Escolas Camilo Castelo Branco, Portugal
 18
2010/09/01 - 2013/07/31
Concluded
 Curso Básico de Instrumentista de Cordas (Ensino básico 3º ciclo)
Major in Violoncelo
Escola Profissional Artística do Vale do Ave, Portugal
 16
Affiliation

Science

Category
Host institution 		Employer
2021/09/15 - Current Research Assistant (Research) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2023/09/01 - Current Invited Assistant (University Teacher) Universidade do Porto Faculdade de Engenharia, Portugal

Others

Category
Host institution 		Employer
2021/03/01 - 2021/09/01 Undergraduate Researcher Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Projects

Grant

Designation Funders
2022/09/01 - Current Unsupervised Generation of Multimodal Explanation using Deep Generative Models
2022.14516.BD
PhD Student Fellow
Universidade do Porto Faculdade de Engenharia, Portugal
 Fundação para a Ciência e a Tecnologia
Ongoing

Contract

Designation Funders
2023/09/01 - Current CINDERELLA Project - Artificial Intelligence applied to Breast Cancer Research
101057389-CINDERELLA
Researcher
Fundação Champalimaud, Portugal

Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Ongoing
2023/03/01 - 2024/08/31 CAGING: Causality-driven Generative Models for Privacy-preserving Case-based Explanations
2022.10486.PTDC
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
 Fundação para a Ciência e a Tecnologia
Concluded
2021/03/01 - 2021/08/31 TAMI: Transparent Artificial Medical Intelligence
NORTE-01-0247-FEDER-045905
Researcher
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Ongoing
Outputs

Publications

Book chapter
  1. Brás, Carolina; Montenegro, Helena; Cai, Leon Y.; Corbetta, Valentina; Huo, Yuankai; Silva, Wilson; Cardoso, Jaime S.; Landman, Bennett A.; Išgum, Ivana. Corresponding author: Brás, Carolina. "Explainable AI for medical image analysis". In Trustworthy AI in Medical Imaging, 347-366. Elsevier, 2025.
    Published • 10.1016/b978-0-44-323761-4.00028-6
Conference paper
  1. 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
  2. Freitas, Nuno; Montenegro, Helena; Cardoso, Maria J.; Cardoso, Jaime S.. Corresponding author: Freitas, Nuno. "Reproducing Asymmetries Caused by Breast Cancer Treatment in Pre-Operative Breast Images". Paper presented in International Symposium on Biomedical Imaging (ISBI), 2024.
    Published • 10.1109/isbi56570.2024.10635739
  3. Montenegro, Helena; Wilson Silva; Jaime S. Cardoso. "Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations". Paper presented in MAD Workshop - MICCAI 2022, 2022.
    Published • 10.1007/978-3-031-25046-0_4
  4. Montenegro, Helena; Silva, Wilson; Jaime S. Cardoso. Corresponding author: Montenegro, Helena. "Towards Privacy-preserving Explanations in Medical Image Analysis". Paper presented in Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2021.
    Published • 10.48550/arXiv.2107.09652
Journal article
  1. Montenegro, Helena; Jaime S. Cardoso. Corresponding author: Montenegro, Helena. "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
  2. Bonci, Eduard-Alexandru; Kaidar-Person, Orit; Antunes, Marília; Ciani, Oriana; Cruz, Helena; Micco, Rosa Di; Gentilini, Oreste Davide; et al. Corresponding author: Bonci, Eduard-Alexandru. "Abstract PO3-19-11: CINDERELLA Clinical Trial (NCT05196269): using artificial intelligence-driven healthcare to enhance breast cancer locoregional treatment decisions". Cancer Research 84 9_Suppleme (2024): PO3-19. https://doi.org/10.1158/1538-7445.sabcs23-po3-19-11.
    10.1158/1538-7445.sabcs23-po3-19-11
  3. Kaidar-Person, Orit; Antunes, Marilia; Cardoso, Jaime S.; Ciani, Oriana; Cruz, Helena; Di Micco, Rosa; Gentilini, Oreste D.; et al. Corresponding author: Kaidar-Person, Orit. "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 18 8 (2023): e0289365. https://doi.org/10.1371/journal.pone.0289365.
    10.1371/journal.pone.0289365
  4. 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
  5. 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
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2023/06/16 Disentangled Representation Learning for Privacy-preserving Case-based Explanations Symposium on Informatics - 5th Doctoral Congress in Engineering
Universidade do Porto Faculdade de Engenharia (Porto, Portugal)

Event organisation

Event name
Type of event (Role) 		Institution / Organization
2021/10/01 - 2022/06/16 VISUM Summer School 2022 (2022/06/10 - 2022/06/16)
Other (Co-organisor)
 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Event participation

Activity description
Type of event 		Event name
Institution / Organization
2022/03/25 - Current Oral Presentation at APRP Spring Meeting.
Meeting
 Primeiro Encontro de Primavera APRP
2021/09/15 - Current Oral Presentation at the CMU Portugal 2021 Doctoral Symposium.
Symposium
 CMU Portugal 2021 Doctoral Symposium
2021/10/23 - 2021/10/24 MICCAI Hackathon 2021 is a hackathon held as part of the MICCAI 2021 conference. I participated as part of the HIT team, together with Isabel Rio-Torto, João Nunes and Tiago Gonçalves, winning first place with our work on the fifth task of the event: "Increase the consistency and quality of annotations".
Call
 MICCAI Hackathon 2021
Distinctions

Award

2023 Best Oral Presentation in Symposium of Informatics of the Doctoral Congress in Engineering (DCE) 2023
Universidade do Porto Faculdade de Engenharia, Portugal
2021 CTM Best Master Thesis 2021 Award
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2021 3rd Prize Fraunhofer Portugal Challenge 2021
Associação Fraunhofer Portugal Research, Portugal
2021 APRP Best Master Dissertation
2021 Bolsa por Mérito
Universidade do Porto Faculdade de Engenharia, Portugal