Tiago Gonçalves

PhD Student at FEUP | Research Assistant at INESC TEC | Machine Learning and Deep Learning Enthusiast



I received my MSc in Bioengineering (Biomedical Engineering) from Faculdade de Engenharia da Universidade do Porto (FEUP) in 2019. Currently, I am a PhD Candidate in Electrical and Computer Engineering at FEUP and a research assistant at the Centre for Telecommunications and Multimedia of INESC TEC with the Visual Computing & Machine Intelligence (VCMI) Research Group.
My research interests include machine learning, explainable artificial intelligence (in-model approaches), computer vision, medical decision support systems, and machine learning deployment.

Besides working, I enjoy practising Karate-Do Shotokai or reading about life, philosophy, economy, politics or fundamental science.
Moreover, I do not refuse a good TV series or a good film (preferably at the cinema).


Experience

Visiting Researcher / PhD Student

Netherlands Cancer Institute

Visiting PhD student at the Department of Radiology, under the supervision of Wilson Silva.

April 2024 - Present

Visiting Researcher / PhD Student

University of Utrecht

Visiting PhD student with AI Technology for Life research group of the Department of Information and Computing Sciences, under the supervision of Wilson Silva.

April 2024 - Present

External Researcher / PhD Student

Athinoula A. Martinos Center for Biomedical Imaging | Massachusetts General Hospital

External PhD student with The Quantitative Translational Imaging in Medicine Lab (QTIM), under the supervision of Albert Kim and Christopher P. Bridge.

February 2024 - Present

Visiting Researcher / PhD Student

Athinoula A. Martinos Center for Biomedical Imaging | Massachusetts General Hospital

Visiting PhD student with The Quantitative Translational Imaging in Medicine Lab (QTIM), under the supervision of Albert Kim and Christopher P. Bridge.

September 2023 - February 2024

Invited Teaching Assistant

Faculty of Engineering | University of Porto

Invited Teaching Assistant during the 1st Semester of 2022-2023 on the course PRO - Programming (L.EEC004)

Invited Teaching Assistant during the 1st Semester of 2021-2022 on the course TAIA - Advanced Topics on Artificial Intelligence

September 2021 - Present

Research Assistant

INESC TEC | Centre for Telecommunications and Multimedia

January 2020 - Present

Research Assistant

Faculty of Engineering | University of Porto

September 2019 - December 2019

Junior Researcher

Fraunhofer Portugal AICOS

March 2018 - September 2018

Education

Faculty of Engineering | University of Porto

Doctor of Philosophy
Electrical and Computer Engineering
September 2020 - Present

Faculty of Engineering | University of Porto

Bachelor of Science & Master of Science
Bioengineering - Biomedical Engineering
September 2016 - July 2019

University of Twente

Bachelor of Science
Bioengineering - Biomedical Engineering

Internship and Bachelor's Thesis as an Erasmus+ Student.

February 2016 - June 2016

Faculty of Biotechnology | Universidade Católica Portuguesa

Bachelor of Science
Bioengineering - Biomedical Engineering
September 2013 - July 2016

Skills

Programming Languages & Tools

News & Awards

News


Awards

  • MICCAI Hackathon 2021 Best Contribution Award - Member of the winning team "HIT" (Helena Montenegro, Isabel Rio-Torto, João Nunes and Tiago Gonçalves) with the work titled "Show Me Consistency! Increasing the quality and consistency of annotations"
  • 2nd Place World Data League - Member of the team "Tech Moguls" (Joana Morgado, Paulo Maia, Tiago Gonçalves and Tomé Albuquerque) that achieved 2nd place at the World Data League competition on data science

Publications

International Conference and Journal Articles

  1. Caldeira, Eduarda, Pedro C. Neto, Tiago Gonçalves, Naser Damer, Ana F. Sequeira, and Jaime S. Cardoso. "Disentangling morphed identities for face morphing detection." Science Talks 10 (2024): 100331.
    [link][bib]

  2. Gonçalves, Tiago, Dagoberto Pulido-Arias, Julian Willett, Katharina V. Hoebel, Mason Cleveland, Syed Rakin Ahmed, Elizabeth Gerstner et al. "Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology." arXiv preprint arXiv:2404.16397 (2024).
    [link][bib][pdf][poster][presentation][code]

  3. Neto, Pedro C., Rafael M. Mamede, Carolina Albuquerque, Tiago Gonçalves, and Ana F. Sequeira. "Massively Annotated Datasets for Assessment of Synthetic and Real Data in Face Recognition." arXiv preprint arXiv:2404.15234 (2024).
    [link][bib][pdf]

  4. Caldeira, Eduarda, Pedro C. Neto, Tiago Gonçalves, Naser Damer, Ana F. Sequeira, and Jaime S. Cardoso. "Unveiling the two-faced truth: Disentangling morphed identities for face morphing detection." In 2023 31st European Signal Processing Conference (EUSIPCO), pp. 955-959. IEEE, 2023.
    [link][bib][pdf][code]

  5. Kaidar-Person, Orit, Marilia Antunes, Jaime S. Cardoso, Oriana Ciani, Helena Cruz, Rosa Di Micco, Oreste D. Gentilini 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 18, no. 8 (2023): e0289365.
    [link][bib][pdf]

  6. Serrano e Silva, Pedro, Ricardo Cruz, A. S. M. Shihavuddin, and Tiago Gonçalves. "Interpretability-Guided Human Feedback During Neural Network Training." In Iberian Conference on Pattern Recognition and Image Analysis, pp. 276-287. Cham: Springer Nature Switzerland, 2023.
    [link][bib][pdf][poster][code]

  7. e Silva, Diana Teixeira, Ricardo Cruz, Tiago Gonçalves, and Diogo Carneiro. "Two-stage semantic segmentation in neural networks." In Fifteenth International Conference on Machine Vision (ICMV 2022), vol. 12701, pp. 122-131. SPIE, 2023.
    [link][bib][pdf][presentation][code]

  8. Cruz, Ricardo, Diana Teixeira E. Silva, Tiago Gonçalves, Diogo Carneiro, and Jaime S. Cardoso. "Two-Stage Framework for Faster Semantic Segmentation." Sensors 23, no. 6 (2023): 3092.
    [link][bib][pdf][code]

  9. Montenegro, Helena, Pedro Neto, Cristiano Patrício, Isabel Rio-Torto, Tiago Gonçalves, and Luís F. Teixeira. "Evaluating privacy on synthetic images generated using gans: Contributions of the vcmi team to imageclefmedical gans 2023." Challenge (2023): 8.
    [link][bib][pdf][code]

  10. Rio-Torto, Isabel, Cristiano Patrício, Helena Montenegro, Tiago Gonçalves, and Jaime S. Cardoso. "Detecting concepts and generating captions from medical images: Contributions of the VCMI team to Image-CLEFmedical caption 2023." In CLEF2023 Working Notes, CEUR Workshop Proceedings, CEUR-WS. org, Thessaloniki, Greece. 2023.
    [link][bib][pdf][code]

  11. Silva, Wilson, Tiago Gonçalves, Kirsi Härmä, Erich Schröder, Verena Carola Obmann, María Cecilia Barroso, Alexander Poellinger, Mauricio Reyes, and Jaime S. Cardoso. "Computer-aided diagnosis through medical image retrieval in radiology." Scientific reports 12, no. 1 (2022): 20732.
    [link][bib][pdf]

  12. Huber, Marco, Fadi Boutros, Anh Thi Luu, Kiran Raja, Raghavendra Ramachandra, Naser Damer, Pedro C. Neto et al. "SYN-MAD 2022: Competition on face morphing attack detection based on privacy-aware synthetic training data." In 2022 IEEE International Joint Conference on Biometrics (IJCB), pp. 1-10. IEEE, 2022.
    [link][bib][pdf]

  13. Neto, Pedro C., Tiago Gonçalves, Marco Huber, Naser Damer, Ana F. Sequeira, and Jaime S. Cardoso. "Orthomad: Morphing attack detection through orthogonal identity disentanglement." In 2022 International Conference of the Biometrics Special Interest Group (BIOSIG), pp. 1-5. IEEE, 2022.
    [link][bib][pdf][code]

  14. Gonçalves, Tiago, Isabel Rio-Torto, Luís F. Teixeira, and Jaime S. Cardoso. "A survey on attention mechanisms for medical applications: are we moving toward better Algorithms?." IEEE Access 10 (2022): 98909-98935.
    [link][bib][pdf][code]

  15. Neto, Pedro C., Tiago Gonçalves, João Ribeiro Pinto, Wilson Silva, Ana F. Sequeira, Arun Ross, and Jaime S. Cardoso. "Explainable biometrics in the age of deep learning." arXiv preprint arXiv:2208.09500 (2022).
    [link][bib][pdf]

  16. Rio-Torto, Isabel, Cristiano Patrício, Helena Montenegro, and Tiago Gonçalves. "Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical 2022 Caption." (2022).
    [link][bib][pdf][poster][presentation][code]

  17. Sequeira, Ana F., Tiago Gonçalves, Wilson Silva, João Ribeiro Pinto, and Jaime S. Cardoso. "An exploratory study of interpretability for face presentation attack detection." IET Biometrics 10, no. 4 (2021): 441-455.
    [link][bib][pdf]

  18. Pinto, João Ribeiro, Tiago Gonçalves, Carolina Pinto, Luís Sanhudo, Joaquim Fonseca, Filipe Gonçalves, Pedro Carvalho, and Jaime S. Cardoso. "Audiovisual classification of group emotion valence using activity recognition networks." In 2020 IEEE 4th International Conference on Image Processing, Applications and Systems (IPAS), pp. 114-119. IEEE, 2020.
    [link][bib][pdf]

  19. Gonçalves, Tiago, Wilson Silva, Maria J. Cardoso, and Jaime S. Cardoso. "Deep image segmentation for breast keypoint detection." In Proceedings, vol. 54, no. 1, p. 35. MDPI, 2020.
    [link][bib][pdf]

  20. Oliveira, Sara P., João Ribeiro Pinto, Tiago Gonçalves, Rita Canas-Marques, Maria-João Cardoso, Hélder P. Oliveira, and Jaime S. Cardoso. "Weakly-supervised classification of HER2 expression in breast cancer haematoxylin and eosin stained slides." Applied Sciences 10, no. 14 (2020): 4728.
    [link][bib][pdf][code]

  21. Gonçalves, Tiago, Wilson Silva, Maria J. Cardoso, and Jaime S. Cardoso. "A novel approach to keypoint detection for the aesthetic evaluation of breast cancer surgery outcomes." Health and Technology 10 (2020): 891-903.
    [link][bib][pdf][code]

  22. Sequeira, Ana F., Wilson Silva, Joao Ribeiro Pinto, Tiago Gonçalves, and Jaime S. Cardoso. "Interpretable biometrics: Should we rethink how presentation attack detection is evaluated?." In 2020 8th International Workshop on Biometrics and Forensics (IWBF), pp. 1-6. IEEE, 2020.
    [link][bib][pdf]

  23. Gonçalves, Tiago, Wilson Silva, and Jaime Cardoso. "Deep aesthetic assessment of breast cancer surgery outcomes." In XV Mediterranean Conference on Medical and Biological Engineering and Computing-MEDICON 2019: Proceedings of MEDICON 2019, September 26-28, 2019, Coimbra, Portugal, pp. 1967-1983. Springer International Publishing, 2020.
    [link][bib][pdf]

National Conference and Journal Articles

  1. Diana Teixeira e Silva, Ricardo Cruz and Tiago Gonçalves. "Preliminary Study on Deep Iterative Semantic Segmentation" 28th Portuguese Conference in Pattern Recognition (RECPAD), 2022.
    [bib][pdf][poster][code]

  2. Tiago Gonçalves and Jaime S. Cardoso. "Preliminary Study on the Impact of Attention Mechanisms for Medical Image Classification" 27th Portuguese Conference in Pattern Recognition (RECPAD), 2021.
    [bib][pdf][poster][code]

  3. Tiago Gonçalves, Wilson Silva and Jaime S. Cardoso. "A Deep Image Segmentation Approach to Breast Keypoint Detection" 26th Portuguese Conference in Pattern Recognition (RECPAD), 2020.
    [bib][pdf][poster]

  4. Sara P. Oliveira, João R. Pinto, Tiago Gonçalves, Hélder P. Oliveira and Jaime S. Cardoso. "IHC Classification in Breast Cancer H&E Slides with a Weakly-Supervised Approach" 26th Portuguese Conference in Pattern Recognition (RECPAD), 2020.
    [bib][pdf][poster]

  5. Wilson Silva, João R. Pinto, Tiago Gonçalves, Ana F. Sequeira and Jaime S. Cardoso. "Explainable Artificial Intelligence for Face Presentation Attack Detection" 26th Portuguese Conference in Pattern Recognition (RECPAD), 2020.
    [bib][pdf][poster]

  6. Tiago Gonçalves, Wilson Silva, and Jaime Cardoso. "Towards a Deep Keypoint Detection Algorithm for the Aesthetic Assessment of Breast Cancer Surgery Outcomes" 25th Portuguese Conference in Pattern Recognition (RECPAD), 2019.
    [bib][pdf]

  7. Rybarczyk, Yves, Clément Cointe, Tiago Gonçalves, Vitor Minhoto, Jan Kleine Deters, Santiago Villarreal, Arián Aladro Gonzalo, Jonathan Baldeón, and Danilo Esparza. "On the use of natural user interfaces in physical rehabilitation: A web-based application for patients with hip prosthesis." Journal of Science and Technology of the Arts 10, no. 2 (2018): 15-24.
    [link][bib][pdf]

Theses

  1. Tiago Filipe Sousa Gonçalves "Deep Aesthetic Assessment of Breast Cancer Surgery Outcomes"
    Master in Bioengineering - Biomedical Engineering, Faculty of Engineering of the University of Porto, 2019.
    [link][bib]

Activity

Supervised MSc Students


Supervised BSc Students


Supervised Internships

Teaching

2021-2022

1st Semester

TAIA - Advanced Topics on Artificial Intelligence
Edge AI - Lecture 1 [slides] [hands-on]
Edge AI - Lecture 2 [slides] [hands-on]
Responsible AI - Lecture 1 [slides] [hands-on]
Responsible AI - Lecture 2 [slides] [hands-on]