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Tiago Filipe Gonçalves
Tiago Gonçalves received his MSc in Bioengineering (Biomedical Engineering) from Faculdade de Engenharia da Universidade do Porto (FEUP) in 2019. Currently, he is 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.
His research interests include machine learning, explainable artificial intelligence (in-model approaches), computer vision, medical decision support systems, and machine learning deployment.
Projects
Publications
An End-to-End Framework to Classify and Generate Privacy-Preserving Explanations in Pornography Detection
Vieira, M;Goncalves, T;Silva, W;Sequeira, F;
2024
BIOSIG 2024 - Proceedings of the 23rd International Conference of the Biometrics Special Interest Group
Interpretable AI for medical image analysis: methods, evaluation, and clinical considerations
Gonçalves, T;Hedström, A;Pahud de Mortanges, A;Li, X;Müller, H;Cardoso, S;Reyes, M;
2024
Trustworthy Ai in Medical Imaging
Abstract PO3-19-11: CINDERELLA Clinical Trial (NCT05196269): using artificial intelligence-driven healthcare to enhance breast cancer locoregional treatment decisions
Eduard-Alexandru Bonci;Orit Kaidar-Person;Marília Antunes;Oriana Ciani;Helena Cruz;Rosa Di Micco;Oreste Davide Gentilini;Nicole Rotmensz;Pedro Gouveia;Jörg Heil;Pawel Kabata;Nuno Freitas;Tiago Gonçalves;Miguel Romariz;Helena Montenegro;Hélder P. Oliveira;Jaime S. Cardoso;Henrique Martins;Daniela Lopes;Marta Martinho;Ludovica Borsoi;Elisabetta Listorti;Carlos Mavioso;Martin Mika;André Pfob;Timo Schinköthe;Giovani Silva;Maria-Joao Cardoso;
2024
Cancer Research
Disentangling morphed identities for face morphing detection
Caldeira, E;Neto, PC;Gonçalves, T;Damer, N;Sequeira, AF;Cardoso, JS;
2024
Science Talks
Supervised Theses
Human Feedback During Neural Network Training
Pedro João Cruz Serrano e Silva
M - 2022
UP-FEUP
A Deep Segmentation Approach for the Retrieval of Breast Cancer Treatment Outcomes
Carlos Miguel de Sá Veloso
M - 2024
UP-FEUP
Deep Learning Generative Models for Breast MRI Synthesis: A 3D-GAN Comparative Study
Diogo de Almeida Campas
M - 2024
UP-FEUP
Enhancing Lung CT 3D Image Synthesis with Generative Adversarial Networks
João Afonso Martins Domingues Andrade
M - 2024
UP-FEUP