Isabel Rio-Torto

19 papers A* 1Misc 1Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
WeNLEX: Weakly Supervised Natural Language Explanations for Multilabel Chest X-ray Classification.
CoRR
Isabel Rio-Torto, Jaime S. Cardoso, Luís F. Teixeira
2025 J jnl
CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification.
CoRR
Cristiano Patrício, Isabel Rio-Torto, Jaime S. Cardoso, Luís F. Teixeira, João C. Neves
2025 J jnl
CBVLM: Training-free explainable concept-based Large Vision Language Models for medical image classification.
Comput. Biol. Medicine
Cristiano Patrício, Isabel Rio-Torto, Jaime S. Cardoso, Luís F. Teixeira, João Neves
2024 — conf
On the Suitability of B-cos Networks for the Medical Domain.
ISBI
Isabel Rio-Torto, Tiago Gonçalves, Jaime S. Cardoso, Luís F. Teixeira
2024 — conf
Parameter-Efficient Generation of Natural Language Explanations for Chest X-ray Classification.
MIDL
Isabel Rio-Torto, Jaime S. Cardoso, Luís Filipe Teixeira
2023 — conf
DeViL: Decoding Vision features into Language.
DAGM
Meghal Dani, Isabel Rio-Torto, Stephan Alaniz, Zeynep Akata
2023 J jnl
DeViL: Decoding Vision features into Language.
CoRR
Meghal Dani, Isabel Rio-Torto, Stephan Alaniz, Zeynep Akata
2023 — conf
Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical Caption 2023.
CLEF (Working Notes)
Isabel Rio-Torto, Cristiano Patrício, Helena Montenegro, Tiago Gonçalves, Jaime S. Cardoso
2023 — conf
Evaluating Privacy on Synthetic Images Generated using GANs: Contributions of the VCMI Team to ImageCLEFmedical GANs 2023.
CLEF (Working Notes)
Helena Montenegro, Pedro C. Neto, Cristiano Patrício, Isabel Rio-Torto, Tiago Gonçalves, Luís F. Teixeira
2023 J jnl
Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition.
Mach. Vis. Appl.
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
2023 A* conf
In-Context Impersonation Reveals Large Language Models' Strengths and Biases.
NeurIPS
Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata
2023 J jnl
In-Context Impersonation Reveals Large Language Models' Strengths and Biases.
CoRR
Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata
2022 J jnl
A Survey on Attention Mechanisms for Medical Applications: are we Moving Toward Better Algorithms?
IEEE Access
Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira, Jaime S. Cardoso
2022 J jnl
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?
CoRR
Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira, Jaime S. Cardoso
2022 — conf
Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical 2022 Caption.
CLEF (Working Notes)
Isabel Rio-Torto, Cristiano Patrício, Helena Montenegro, Tiago Gonçalves
2022 Misc conf
From Captions to Explanations: A Multimodal Transformer-based Architecture for Natural Language Explanation Generation.
IbPRIA
Isabel Rio-Torto, Jaime S. Cardoso, Luís F. Teixeira
2021 — conf
Improving Automatic Quality Inspection in the Automotive Industry by Combining Simulated and Real Data.
ISVC (1)
Pedro Pinho, Isabel Rio-Torto, Luís F. Teixeira
2020 J jnl
Understanding the decisions of CNNs: An in-model approach.
Pattern Recognit. Lett.
Isabel Rio-Torto, Kelwin Fernandes, Luís F. Teixeira
2019 — conf
Towards a Joint Approach to Produce Decisions and Explanations Using CNNs.
IbPRIA (1)
Isabel Rio-Torto, Kelwin Fernandes, Luís F. Teixeira