| Privacy-preserving generative adversarial network for case-based explainability in medical image analysis H Montenegro, W Silva, JS Cardoso IEEE Access 9, 148037-148047, 2021 | 30 | 2021 |
| Privacy-preserving case-based explanations: Enabling visual interpretability by protecting privacy H Montenegro, W Silva, A Gaudio, M Fredrikson, A Smailagic, JS Cardoso IEEE Access 10, 28333-28347, 2022 | 11 | 2022 |
| Towards privacy-preserving explanations in medical image analysis H Montenegro, W Silva, JS Cardoso arXiv preprint arXiv:2107.09652, 2021 | 10 | 2021 |
| Detecting concepts and generating captions from medical images: Contributions of the VCMI team to Image-CLEFmedical caption 2023 I Rio-Torto, C Patrício, H Montenegro, T Gonçalves, JS Cardoso CLEF2023 Working Notes, CEUR Workshop Proceedings, CEUR-WS. org …, 2023 | 4 | 2023 |
| Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations H Montenegro, W Silva, JS Cardoso MICCAI Workshop on Medical Applications with Disentanglements, 33-45, 2022 | 2 | 2022 |
| 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 | 2 | 2022 |
| 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 CEUR-WS 3497, 8, 2023 | 1 | 2023 |
| Anonymizing medical case-based explanations through disentanglement H Montenegro, JS Cardoso arXiv preprint arXiv:2311.04833, 2023 | | 2023 |
