Congratulations to Nina Miolane who received a l’Oréal-UNESCO Fellowship for Women In Science! She is working on “Geometric Statistics for Computational Anatomy” at Inria Asclepios team under the supervision of Xavier Pennec, in the associated team GeomStats in collaboration with Susan Holmes at Stanford University.
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Recent Posts
- Keynote talk on “AI & Deep Learning for Medical Image Analysis” by Nicholas Ayache 2025/04/25
- Panel “AI for Health” by Nicholas Ayache 2025/03/31
- Exceptional Scientific Prize for Paul Tourniaire PhD these work 2025/01/13
- Grand prix Ampère de l’Électricité de France – Académie des sciences 2024/12/05
- Rafael Silva, Yingyu Yang, Maëlis Morier, Safaa Al Ali, Maxime Sermesant, from Inria Epione team, won the Best Poster Award at Computing in Cardiology Challenge 2024 2024/09/16
- Lastest publications
- Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications
- Algorithms for left atrial wall segmentation and thickness – Evaluation on an open-source CT and MRI image database
- Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data
- Motor cortex neurovascular coupling: inputs from ultra–high-frequency ultrasound imaging in humans
Cardiac Fibres from in vivo Diffusion Tensor Imaging
Specific acquisition and processing were developed to achieve DTI on a beating heart.Login & RSS