Mickael Tardy

According to our database, Mickael Tardy authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Weakly-Supervised End-to-End Framework for Pixel-Wise Description of Micro-Calcifications in Full-Resolution Mammograms.

Paul Terrassin, Mickael Tardy, Nathan Lauzeral, Nicolas Normand

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Memory-aware curriculum federated learning for breast cancer classification.

Amelia Jiménez-Sánchez, Mickael Tardy, Miguel Ángel González Ballester, Diana Mateus, Gemma Piella

Comput. Methods Programs Biomed., February, 2023

2022

Multi-scale Graph Neural Networks for Mammography Classification and Abnormality Detection.

Guillaume Pelluet, Mira Rizkallah, Mickael Tardy, Oscar Acosta, Diana Mateus

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

2021

Apprentissage automatique pour l'aide au diagnostic précoce du cancer du sein. (Deep learning for computer-aided early diagnosis of breast cancer).

Mickael Tardy

PhD thesis, 2021

Looking for Abnormalities in Mammograms With Self- and Weakly Supervised Reconstruction.

Mickael Tardy, Diana Mateus

IEEE Trans. Medical Imaging, 2021

Trainable Summarization to Improve Breast Tomosynthesis Classification.

Mickael Tardy, Diana Mateus

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Lightweight U-Net for High-Resolution Breast Imaging.

Mickael Tardy, Diana Mateus

CoRR, 2020

2019

Uncertainty Measurements for the Reliable Classification of Mammograms.

Mickael Tardy, Bruno Scheffer, Diana Mateus

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Breast Density Quantification Using Weakly Annotated Dataset.

Mickael Tardy, Bruno Scheffer, Diana Mateus

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019