The book “Riemannian Geometric Statistics in Medical Image Analysis” edited par Xavier Pennec, Stefan Sommer and Tom Fletcher in out since September 3! This is the 3rd book of Elsevier and MICCAI Society book series. This book aims at being a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with applications in medical image analysis. It provides an introduction to the core methodology with 5 chapters by Xavier Pennec, Tom Fletcher, Stefan Sommer, Stephen Marsland and Marco Lorenzi, and 11 contributed chapters on state-of-the-art methods for applications, including a chapter by Nina Miolane and Loic Devillier.
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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
- Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data
- Algorithms for left atrial wall segmentation and thickness – Evaluation on an open-source CT and MRI image database
- Motor cortex neurovascular coupling: inputs from ultra–high-frequency ultrasound imaging in humans
- A magnetic resonance multi-atlas for the neonatal rabbit brain
Cardiac Fibres from in vivo Diffusion Tensor Imaging
Specific acquisition and processing were developed to achieve DTI on a beating heart.Login & RSS