| Memory-aware curriculum federated learning for breast cancer classification A Jiménez-Sánchez, M Tardy, MAG Ballester, D Mateus, G Piella Computer Methods and Programs in Biomedicine 229, 107318, 2023 | 68 | 2023 |
| Looking for abnormalities in mammograms with self-and weakly supervised reconstruction M Tardy, D Mateus IEEE Transactions on Medical Imaging 40 (10), 2711-2722, 2021 | 31 | 2021 |
| Uncertainty measurements for the reliable classification of mammograms M Tardy, B Scheffer, D Mateus International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 22 | 2019 |
| A Comparison of Techniques for Class Imbalance in Deep Learning Classification of Breast Cancer R Walsh, M Tardy Diagnostics 13 (1), 67, 2022 | 13 | 2022 |
| Leveraging Multi-Task Learning to Cope With Poor and Missing Labels of Mammograms M Tardy, D Mateus Frontiers in Radiology 1, 796078, 2022 | 6 | 2022 |
| Trainable summarization to improve breast tomosynthesis classification M Tardy, D Mateus International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 6 | 2021 |
| Breast Density Quantification Using Weakly Annotated Dataset M Tardy, B Scheffer, D Mateus 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 5 | 2019 |
| Multi-scale Graph Neural Networks for Mammography Classification and Abnormality Detection G Pelluet, M Rizkallah, M Tardy, O Acosta, D Mateus Annual Conference on Medical Image Understanding and Analysis, 636-650, 2022 | 4 | 2022 |
| Lightweight U-Net for high-resolution breast imaging M Tardy, D Mateus arXiv preprint arXiv:2011.13698, 2020 | 2 | 2020 |
| Improving Mammography Malignancy Segmentation by Designing the Training Process M Tardy, D Mateus Medical Imaging with Deep Learning, 2020 | 2 | 2020 |
| Multi-task learning to improve performance consistency in mammogram classification M Tardy, D Mateus Medical Imaging with Deep Learning, 2022 | 1 | 2022 |
| Morphology-based losses for weakly supervised segmentation of mammograms M Tardy, D Mateus Medical Imaging with Deep Learning, 2021 | 1 | 2021 |
| Annotation-free deep-learning framework for microcalcifications detection on mammograms P Terrassin, M Tardy, N Lauzeral, N Normand Medical Imaging 2024: Computer-Aided Diagnosis 12927, 208-217, 2024 | | 2024 |
| System and method for processing at least one polluting region of a digital image of an object exposed to X-rays M Tardy, B Scheffer US Patent 11,941,803, 2024 | | 2024 |
| Leveraging Multi-Task Learning to Cope With Poor and Missing Labels of Mammograms M Tardy, D Mateus Frontiers in Radiology 1, 2022 | | 2022 |
| Apprentissage automatique pour l’aide au diagnostic précoce du cancer du sein M Tardy École centrale de Nantes, 2021 | | 2021 |
| A closer look onto breast density with weakly supervised dense-tissue masks M Tardy, B Scheffer, D Mateus arXiv preprint arXiv:1907.11860, 2019 | | 2019 |
