Tiago Gonçalves

According to our database, Tiago Gonçalves authored at least 31 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Robust Breast Segmentation: Leveraging Depth Awareness and Convexity Optimization For Tackling Data Scarcity.

Mohammad Hossein Zolfagharnasab, Tiago Gonçalves, Pedro Ferreira, Maria João Cardoso, Jaime S. Cardoso

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2025

Predicting Aesthetic Outcomes of Breast Cancer Surgery: A Robust and Explainable Image Retrieval Approach.

Pedro Ferreira, Mohammad Hossein Zolfagharnasab, Tiago Gonçalves, Eduard Bonci, Carlos Mavioso, Maria João Cardoso, Jaime S. Cardoso

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2025

Disentanglement and Assessment of Shortcuts in Ophthalmological Retinal Imaging Exams.

Leonor Fernandes, Tiago Gonçalves, João Matos, Luis Filipe Nakayama, Jaime S. Cardoso

Proceedings of the Fairness of AI in Medical Imaging - Third International Workshop, 2025

Enhancing Medical Image Analysis: A Pipeline Combining Synthetic Image Generation and Super-Resolution.

Pedro Sousa, Diogo Campas, João Andrade, Pedro Pereira, Tiago Gonçalves, Luís F. Teixeira, Tânia Pereira, Hélder P. Oliveira

Proceedings of the Pattern Recognition and Image Analysis - 12th Iberian Conference, 2025

Deciphering the Silent Signals: Unveiling Frequency Importance for Wi-Fi-Based Human Pose Estimation with Explainability.

Leonardo Capozzi, Leonardo M. Ferreira, Tiago Gonçalves, Ana Rebelo, Jaime S. Cardoso, Ana Filipa Sequeira

Proceedings of the Pattern Recognition and Image Analysis - 12th Iberian Conference, 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, Ana Filipa Sequeira

Proceedings of the HCI for Cybersecurity, Privacy and Trust, 2025

SHAPing Latent Spaces in Facial Attribute Classification Models.

Leonardo M. Ferreira, Tiago Gonçalves, Pedro C. Neto, Ana Filipa Sequeira, Rafael M. Mamede, Mafalda Oliveira

Proceedings of the 24th International Conference of the Biometrics Special Interest Group, 2025

2024

Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology.

Tiago Gonçalves, Dagoberto Pulido-Arias, Julian Willett, Katharina Viktoria Hoebel, Mason C. Cleveland, Syed Rakin Ahmed, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Jaime S. Cardoso, Christopher P. Bridge, Albert E. Kim

CoRR, 2024

Predicting Aesthetic Outcomes in Breast Cancer Surgery: A Multimodal Retrieval Approach.

Mohammad Hossein Zolfagharnasab, Nuno Freitas, Tiago Gonçalves, Eduard Bonci, Carlos Mavioso, Maria João Cardoso, Hélder P. Oliveira, Jaime S. Cardoso

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024

Evaluating the Impact of Pulse Oximetry Bias in Machine Learning Under Counterfactual Thinking.

Inês Martins, João Matos, Tiago Gonçalves, Leo A. Celi, An-Kwok Ian Wong, Jaime S. Cardoso

Proceedings of the Applications of Medical Artificial Intelligence, 2024

On the Suitability of B-cos Networks for the Medical Domain.

Isabel Rio-Torto, Tiago Gonçalves, Jaime S. Cardoso, Luís F. Teixeira

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Massively Annotated Datasets for Assessment of Synthetic and Real Data in Face Recognition.

Pedro C. Neto, Rafael M. Mamede, Carolina Albuquerque, Tiago Gonçalves, Ana Filipa Sequeira

Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

An End-to-End Framework to Classify and Generate Privacy-Preserving Explanations in Pornography Detection.

Margarida Vieira, Tiago Gonçalves, Wilson Silva, Ana Filipa Sequeira

Proceedings of the 23rd International Conference of the Biometrics Special Interest Group, 2024

Classification of Keratitis from Eye Corneal Photographs using Deep Learning.

Maria Miguel Beirão, João Matos, Tiago Gonçalves, Camila Kase, Luis Filipe Nakayama, Denise de Freitas, Jaime S. Cardoso

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Two-Stage Framework for Faster Semantic Segmentation.

Ricardo P. M. Cruz, Diana Teixeira e Silva, Tiago Gonçalves, Diogo Carneiro, Jaime S. Cardoso

Sensors, March, 2023

Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition.

Eduardo Castro, Pedro M. Ferreira, Ana Rebelo, Isabel Rio-Torto, Leonardo Capozzi, Mafalda Falcão Ferreira, Tiago Gonçalves, Tomé Albuquerque, Wilson Silva, Carolina Afonso, Ricardo Gamelas Sousa, Claudio Cimarelli, Nadia Daoudi, Gabriel Moreira, Hsiu-Yu Yang, Ingrid Hrga, Javed Ahmad, Monish Keswani, Sofia C. Beco

Mach. Vis. Appl., 2023

Interpretability-Guided Human Feedback During Neural Network Training.

Pedro Serrano e Silva, Ricardo P. M. Cruz, A. S. M. Shihavuddin, Tiago Gonçalves

Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection.

Eduarda Caldeira, Pedro C. Neto, Tiago Gonçalves, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso

Proceedings of the 31st European Signal Processing Conference, 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, Jaime S. Cardoso

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

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, Luís F. Teixeira

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022

Explainable Biometrics in the Age of Deep Learning.

Pedro C. Neto, Tiago Gonçalves, João Ribeiro Pinto, Wilson Silva, Ana Filipa Sequeira, Arun Ross, Jaime S. Cardoso

CoRR, 2022

A survey on attention mechanisms for medical applications: are we moving towards better algorithms?

Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira, Jaime S. Cardoso

CoRR, 2022

A Survey on Attention Mechanisms for Medical Applications: are we Moving Toward Better Algorithms?

Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira, Jaime S. Cardoso

IEEE Access, 2022

Two-stage semantic segmentation in neural networks.

Diana Teixeira e Silva, Ricardo P. M. Cruz, Tiago Gonçalves, Diogo Carneiro

Proceedings of the Fifteenth International Conference on Machine Vision, 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, Ana Filipa Sequeira, Jaime S. Cardoso, João Tremoço, Miguel Lourenço, Sergio Serra, Eduardo Cermeño, Marija Ivanovska, Borut Batagelj, Andrej Kronovsek, Peter Peer, Vitomir Struc

Proceedings of the IEEE International Joint Conference on Biometrics, 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

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement.

Pedro C. Neto, Tiago Gonçalves, Marco Huber, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso

Proceedings of the 21st International Conference of the Biometrics Special Interest Group, 2022

2021

An exploratory study of interpretability for face presentation attack detection.

Ana Filipa Sequeira, Tiago Gonçalves, Wilson Silva, João Ribeiro Pinto, Jaime S. Cardoso

IET Biom., 2021

Applying Machine Learning for Traffic Forecasting in Porto, Portugal.

Paulo Maia, Joana Morgado, Tiago Gonçalves, Tomé Albuquerque

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020

Interpretable Biometrics: Should We Rethink How Presentation Attack Detection is Evaluated?

Ana Filipa Sequeira, Wilson Silva, João Ribeiro Pinto, Tiago Gonçalves, Jaime S. Cardoso

Proceedings of the 8th International Workshop on Biometrics and Forensics, 2020

Audiovisual Classification of Group Emotion Valence Using Activity Recognition Networks.

João Ribeiro Pinto, Tiago Gonçalves, Carolina Pinto, Luís Sanhudo, Joaquim Fonseca, Filipe Gonçalves, Pedro Carvalho, Jaime S. Cardoso

Proceedings of the 4th IEEE International Conference on Image Processing, 2020