Följ
Mickael Tardy
Mickael Tardy
Ecole Centrale de Nantes, Nantes, France; Hera-MI, SAS, Nantes, France;
Verifierad e-postadress på ec-nantes.fr
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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
1012023
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
352021
A Comparison of Techniques for Class Imbalance in Deep Learning Classification of Breast Cancer
R Walsh, M Tardy
Diagnostics 13 (1), 67, 2022
262022
Uncertainty measurements for the reliable classification of mammograms
M Tardy, B Scheffer, D Mateus
International Conference on Medical Image Computing and Computer-Assisted …, 2019
252019
Trainable summarization to improve breast tomosynthesis classification
M Tardy, D Mateus
International Conference on Medical Image Computing and Computer-Assisted …, 2021
82021
Leveraging Multi-Task Learning to Cope With Poor and Missing Labels of Mammograms
M Tardy, D Mateus
Frontiers in Radiology 1, 796078, 2022
72022
Breast Density Quantification Using Weakly Annotated Dataset
M Tardy, B Scheffer, D Mateus
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
72019
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
52022
Lightweight U-Net for high-resolution breast imaging
M Tardy, D Mateus
arXiv preprint arXiv:2011.13698, 2020
22020
Improving Mammography Malignancy Segmentation by Designing the Training Process
M Tardy, D Mateus
Medical Imaging with Deep Learning, 2020
22020
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
12024
Multi-task learning to improve performance consistency in mammogram classification
M Tardy, D Mateus
Medical Imaging with Deep Learning, 2022
12022
Morphology-based losses for weakly supervised segmentation of mammograms
M Tardy, D Mateus
Medical Imaging with Deep Learning, 2021
12021
Thick Slices for Optimal Digital Breast Tomosynthesis Classication With Deep-Learning
P Terrassin, M Tardy, H Alhajj, N Lauzeral, N Normand
2024
Weakly-Supervised End-to-End Framework for Pixel-Wise Description of Micro-Calcifications in Full-Resolution Mammograms
P Terrassin, M Tardy, N Lauzeral, N Normand
2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 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
Enhancing Breast Cancer Screening: Unveiling Explainable Cross-View Contributions in Dual-View Mammography with Sparse Bipartite Graphs Attention Networks
G Pelluet, M RIZKALLAH, M TARDY, D Mateus
Available at SSRN 4960391, 0
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Artiklar 1–20