Cristiano Patrício

20 papers B 1Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unsupervised contrastive analysis for anomaly detection in brain MRIs via conditional diffusion models.
Pattern Recognit. Lett.
Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João Neves
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
2025 J jnl
ViConEx-Med: Visual Concept Explainability via Multi-Concept Token Transformer for Medical Image Analysis.
CoRR
Cristiano Patrício, Luís F. Teixeira, João Neves
2024 J jnl
A Two-Step Concept-Based Approach for Enhanced Interpretability and Trust in Skin Lesion Diagnosis.
CoRR
Cristiano Patrício, Luís F. Teixeira, João C. Neves
2024 J jnl
Explainable Deep Learning Methods in Medical Image Classification: A Survey.
ACM Comput. Surv.
Cristiano Patrício, João C. Neves, Luís F. Teixeira
2024 — conf
Towards Concept-Based Interpretability of Skin Lesion Diagnosis Using Vision-Language Models.
ISBI
Cristiano Patrício, Luís F. Teixeira, João C. Neves
2024 J jnl
Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models.
CoRR
Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João C. Neves
2023 — conf
Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis.
CVPR Workshops
Cristiano Patrício, João C. Neves, Luís F. Teixeira
2023 J jnl
Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis.
CoRR
Cristiano Patrício, João C. Neves, Luís F. Teixeira
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
Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models.
CoRR
Cristiano Patrício, Luís F. Teixeira, João C. Neves
2023 J jnl
Zero-shot face recognition: Improving the discriminability of visual face features using a Semantic-Guided Attention Model.
Expert Syst. Appl.
Cristiano Patrício, João C. Neves
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 J jnl
Explainable Deep Learning Methods in Medical Diagnosis: A Survey.
CoRR
Cristiano Patrício, João C. Neves, Luís F. Teixeira
2021 — ch.
A Study on Software Testing Standard Using ISO/IEC/IEEE 29119-2: 2013.
Recent Advances in Intelligent Systems and Smart Applications
Cristiano Patrício, Rui Pinto, Gonçalo Marques
2021 B conf
ZSpeedL - Evaluating the Performance of Zero-Shot Learning Methods using Low-Power Devices.
AVSS
Cristiano Patrício, João C. Neves
2021 J jnl
ZSpeedL - Evaluating the Performance of Zero-Shot Learning Methods using Low-Power Devices.
CoRR
Cristiano Patrício, João Neves
2020 — conf
MagicContact Web: A Multiplatform Application for Augmentative and Alternative Communication.
AHFE (17)
Cristiano Patrício, Tiago Lucas, Celestino Gonçalves, Nuno Pinto, Daniel Freitas, Luis Figueiredo