Audiovisual Classification of Group Emotion Valence Using Activity Recognition Networks. - João Ribeiro Pinto; Tiago Gonçalves 001; Carolina Pinto; Luís Sanhudo; Joaquim Fonseca; Filipe Gonçalves; Pedro Carvalho 001; Jaime S. Cardoso 001 (IPAS, 2020)

Interpretable Biometrics: Should We Rethink How Presentation Attack Detection is Evaluated? - Ana Filipa Sequeira; Wilson Silva; João Ribeiro Pinto; Tiago Gonçalves 001; Jaime S. Cardoso 001 (IWBF, 2020)

Applying Machine Learning for Traffic Forecasting in Porto, Portugal. - Paulo Maia; Joana Morgado; Tiago Gonçalves 001; Tomé Albuquerque (PKDD/ECML Workshops (2), 2021)

An exploratory study of interpretability for face presentation attack detection. - Ana Filipa Sequeira; Tiago Gonçalves 001; Wilson Silva; João Ribeiro Pinto; Jaime S. Cardoso 001 (IET Biom., 2021)

OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement. - Pedro C. Neto; Tiago Gonçalves 001; Marco Huber; Naser Damer; Ana Filipa Sequeira; Jaime S. Cardoso 001 (BIOSIG, 2022)

Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical 2022 Caption. - Isabel Rio-Torto; Cristiano Patrício; Helena Montenegro; Tiago Gonçalves 001 (CLEF (Working Notes), 2022)

SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data. - Marco Huber; Fadi Boutros; Anh Thi Luu; Kiran B. Raja; Raghavendra Ramachandra; Naser Damer; Pedro C. Neto; Tiago Gonçalves 001; Ana Filipa Sequeira; Jaime S. Cardoso 001; João Tremoço; Miguel Lourenço; et al. (IJCB, 2022)

Two-stage semantic segmentation in neural networks. - Diana Teixeira e Silva; Ricardo P. M. Cruz; Tiago Gonçalves 001; Diogo Carneiro (ICMV, 2022)

A Survey on Attention Mechanisms for Medical Applications: are we Moving Toward Better Algorithms? - Tiago Gonçalves 001; Isabel Rio-Torto; Luís F. Teixeira 001; Jaime S. Cardoso 001 (IEEE Access, 2022)

A survey on attention mechanisms for medical applications: are we moving towards better algorithms? - Tiago Gonçalves 001; Isabel Rio-Torto; Luís F. Teixeira 001; Jaime S. Cardoso 001 (CoRR, 2022)

Explainable Biometrics in the Age of Deep Learning. - Pedro C. Neto; Tiago Gonçalves 001; João Ribeiro Pinto; Wilson Silva; Ana Filipa Sequeira; Arun Ross; Jaime S. Cardoso 001 (CoRR, 2022)

Evaluating Privacy on Synthetic Images Generated using GANs: Contributions of the VCMI Team to ImageCLEFmedical GANs 2023. - Helena Montenegro; Pedro C. Neto; Cristiano Patrício; Isabel Rio-Torto; Tiago Gonçalves 001; Luís F. Teixeira 001 (CLEF (Working Notes), 2023)

Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical Caption 2023. - Isabel Rio-Torto; Cristiano Patrício; Helena Montenegro; Tiago Gonçalves 001; Jaime S. Cardoso 001 (CLEF (Working Notes), 2023)

Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection. - Eduarda Caldeira; Pedro C. Neto; Tiago Gonçalves 001; Naser Damer; Ana Filipa Sequeira; Jaime S. Cardoso 001 (EUSIPCO, 2023)

Interpretability-Guided Human Feedback During Neural Network Training. - Pedro Serrano e Silva; Ricardo P. M. Cruz; A. S. M. Shihavuddin; Tiago Gonçalves 001 (IbPRIA, 2023)

Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition. - Eduardo Castro; Pedro M. Ferreira 007; Ana Rebelo; Isabel Rio-Torto; Leonardo Capozzi; Mafalda Falcão Ferreira; Tiago Gonçalves 001; Tomé Albuquerque; Wilson Silva; Carolina Afonso; Ricardo Gamelas Sousa; Claudio Cimarelli; et al. (Mach. Vis. Appl., 2023)

Two-Stage Framework for Faster Semantic Segmentation. - Ricardo P. M. Cruz; Diana Teixeira e Silva; Tiago Gonçalves 001; Diogo Carneiro; Jaime S. Cardoso 001 (Sensors, 2023)

Classification of Keratitis from Eye Corneal Photographs using Deep Learning. - Maria Miguel Beirão; João Matos; Tiago Gonçalves 001; Camila Kase; Luis Filipe Nakayama; Denise de Freitas; Jaime S. Cardoso 001 (BIBM, 2024)

An End-to-End Framework to Classify and Generate Privacy-Preserving Explanations in Pornography Detection. - Margarida Vieira; Tiago Gonçalves 001; Wilson Silva; Ana Filipa Sequeira (BIOSIG, 2024)

Massively Annotated Datasets for Assessment of Synthetic and Real Data in Face Recognition. - Pedro C. Neto; Rafael M. Mamede; Carolina Albuquerque; Tiago Gonçalves 001; Ana Filipa Sequeira (FG, 2024)

On the Suitability of B-cos Networks for the Medical Domain. - Isabel Rio-Torto; Tiago Gonçalves 001; Jaime S. Cardoso 001; Luís F. Teixeira 001 (ISBI, 2024)

Evaluating the Impact of Pulse Oximetry Bias in Machine Learning Under Counterfactual Thinking. - Inês Martins; João Matos; Tiago Gonçalves 001; Leo A. Celi; An-Kwok Ian Wong; Jaime S. Cardoso 001 (AMAI@MICCAI, 2024)

Predicting Aesthetic Outcomes in Breast Cancer Surgery: A Multimodal Retrieval Approach. - Mohammad Hossein Zolfagharnasab; Nuno Freitas; Tiago Gonçalves 001; Eduard Bonci; Carlos Mavioso; Maria João Cardoso; Hélder P. Oliveira; Jaime S. Cardoso 001 (Deep-Breath@MICCAI, 2024)

Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology. - Tiago Gonçalves 001; Dagoberto Pulido-Arias; Julian Willett; Katharina Viktoria Hoebel; Mason C. Cleveland; Syed Rakin Ahmed; Elizabeth R. Gerstner; Jayashree Kalpathy-Cramer; Jaime S. Cardoso 001; Christopher P. Bridge; Albert E. Kim (CoRR, 2024)

SHAPing Latent Spaces in Facial Attribute Classification Models. - Leonardo M. Ferreira; Tiago Gonçalves 001; Pedro C. Neto; Ana Filipa Sequeira; Rafael M. Mamede; Mafalda Oliveira (BIOSIG, 2025)

An Integrated and User-Friendly Platform for the Deployment of Explainable Artificial Intelligence Methods Applied to Face Recognition. - Carolina Albuquerque; Pedro C. Neto; Tiago Gonçalves 001; Ana Filipa Sequeira (HCI (50), 2025)

Deciphering the Silent Signals: Unveiling Frequency Importance for Wi-Fi-Based Human Pose Estimation with Explainability. - Leonardo Capozzi; Leonardo M. Ferreira; Tiago Gonçalves 001; Ana Rebelo; Jaime S. Cardoso 001; Ana Filipa Sequeira (IbPRIA (2), 2025)

Enhancing Medical Image Analysis: A Pipeline Combining Synthetic Image Generation and Super-Resolution. - Pedro Sousa; Diogo Campas; João Andrade; Pedro Pereira; Tiago Gonçalves 001; Luís F. Teixeira 001; Tânia Pereira 001; Hélder P. Oliveira (IbPRIA (2), 2025)

Disentanglement and Assessment of Shortcuts in Ophthalmological Retinal Imaging Exams. - Leonor Fernandes; Tiago Gonçalves 001; João Matos; Luis Filipe Nakayama; Jaime S. Cardoso 001 (FAIMI@MICCAI, 2025)

Predicting Aesthetic Outcomes of Breast Cancer Surgery: A Robust and Explainable Image Retrieval Approach. - Pedro Ferreira; Mohammad Hossein Zolfagharnasab; Tiago Gonçalves 001; Eduard Bonci; Carlos Mavioso; Maria João Cardoso; Jaime S. Cardoso 001 (Deep-Breath@MICCAI, 2025)

Towards Robust Breast Segmentation: Leveraging Depth Awareness and Convexity Optimization For Tackling Data Scarcity. - Mohammad Hossein Zolfagharnasab; Tiago Gonçalves 001; Pedro Ferreira; Maria João Cardoso; Jaime S. Cardoso 001 (Deep-Breath@MICCAI, 2025)