| Explainable Deep Learning Methods in Medical Image Classification: A Survey C Patrício, JC Neves, LF Teixeira ACM Computing Surveys 56 (4), 1-41, 2023 | 167 | 2023 |
| Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis C Patrício, JC Neves, LF Teixeira Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 43 | 2023 |
| Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models C Patrício, LF Teixeira, JC Neves 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | 19 | 2024 |
| Zero-shot face recognition: Improving the discriminability of visual face features using a semantic-guided attention model C Patrício, JC Neves Expert Systems with Applications 211, 118635, 2023 | 13 | 2023 |
| Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical Caption 2023 I Rio-Torto, C Patrício, H Montenegro, T Gonçalves, JS Cardoso CLEF2023 Working Notes, CEUR Workshop Proceedings, CEUR-WS. org …, 2023 | 7 | 2023 |
| CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification C Patrício, I Rio-Torto, JS Cardoso, LF Teixeira, JC Neves Computers in Biology and Medicine, 2025 | 6 | 2025 |
| A study on software testing standard using iso/iec/ieee 29119-2: 2013 C Patrício, R Pinto, G Marques Recent Advances in Intelligent Systems and Smart Applications, 43-62, 2020 | 4 | 2020 |
| Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical 2022 Caption. I Rio-Torto, C Patrício, H Montenegro, T Gonçalves CLEF (Working Notes), 1535-1553, 2022 | 3 | 2022 |
| A two-step concept-based approach for enhanced interpretability and trust in skin lesion diagnosis C Patrício, LF Teixeira, JC Neves Computational and Structural Biotechnology Journal 28, 71-79, 2025 | 2 | 2025 |
| Evaluating Privacy on Synthetic Images Generated using GANs: Contributions of the VCMI Team to ImageCLEFmedical GANs 2023 H Montenegro, P Neto, C Patrício, I Rio-Torto, T Gonçalves, LF Teixeira Challenge, 8, 2023 | 2 | 2023 |
| ZSpeedL - Evaluating the Performance of Zero-Shot Learning Methods using Low-power Devices C Patrício, JC Neves 2021 17th IEEE International Conference on Advanced Video and Signal Based …, 2021 | 2 | 2021 |
| MagicContact Web: A Multiplatform Application for Augmentative and Alternative Communication C Patrício, T Lucas, C Goncalves, N Pinto, D Freitas, L Figueiredo International Conference on Applied Human Factors and Ergonomics, 807-814, 2020 | 2 | 2020 |
| ViConEx-Med: Visual Concept Explainability via Multi-Concept Token Transformer for Medical Image Analysis C Patrício, LF Teixeira, JC Neves arXiv preprint arXiv:2510.10174, 2025 | | 2025 |
| Unsupervised contrastive analysis for anomaly detection in brain MRIs via conditional diffusion models C Patrício, CA Barbano, A Fiandrotti, R Renzulli, M Grangetto, LF Teixeira, ... Pattern Recognition Letters, 2025 | | 2025 |
| A zero-shot learning method for recognizing objects using low-power devices CP Patrício | | 2021 |
| MagicContact Web – Aplicação Web de Comunicação Aumentativa e Alternativa C Patrício | | 2019 |
João C. NevesAssociate Professor, University of Beira Interior, NOVA-LINCSVerified email at di.ubi.pt
