Towards a Joint Approach to Produce Decisions and Explanations Using CNNs. - Isabel Rio-Torto; Kelwin Fernandes; Luís F. Teixeira 001 (IbPRIA (1), 2019)

Understanding the decisions of CNNs: An in-model approach. - Isabel Rio-Torto; Kelwin Fernandes; Luís F. Teixeira 001 (Pattern Recognit. Lett., 2020)

Improving Automatic Quality Inspection in the Automotive Industry by Combining Simulated and Real Data. - Pedro Pinho; Isabel Rio-Torto; Luís F. Teixeira 001 (ISVC (1), 2021)

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 (CLEF (Working Notes), 2022)

From Captions to Explanations: A Multimodal Transformer-based Architecture for Natural Language Explanation Generation. - Isabel Rio-Torto; Jaime S. Cardoso 001; Luís F. Teixeira 001 (IbPRIA, 2022)

A Survey on Attention Mechanisms for Medical Applications: are we Moving Toward Better Algorithms? - Tiago Gonçalves; 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; Isabel Rio-Torto; Luís F. Teixeira 001; 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; 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; Jaime S. Cardoso 001 (CLEF (Working Notes), 2023)

DeViL: Decoding Vision features into Language. - Meghal Dani; Isabel Rio-Torto; Stephan Alaniz; Zeynep Akata (DAGM, 2023)

In-Context Impersonation Reveals Large Language Models' Strengths and Biases. - Leonard Salewski; Stephan Alaniz; Isabel Rio-Torto; Eric Schulz; Zeynep Akata (NeurIPS, 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; Tomé Albuquerque; Wilson Silva; Carolina Afonso; Ricardo Gamelas Sousa; Claudio Cimarelli; et al. (Mach. Vis. Appl., 2023)

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

Parameter-Efficient Generation of Natural Language Explanations for Chest X-ray Classification. - Isabel Rio-Torto; Jaime S. Cardoso 001; Luís Filipe Teixeira 001 (MIDL, 2024)

CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification. - Cristiano Patrício; Isabel Rio-Torto; Jaime S. Cardoso 001; Luís F. Teixeira 001; João C. Neves 001 (CoRR, 2025)