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
- Publication of the book Riemannian Geometric Statistics in Medical Image Analysis 2019/09/16
- Yann Thanwerdas Nominated for the GSI’19 best paper award 2019/09/13
- Congratulations to Marco Lorenzi for the ANR JCJC 2019 award for his project Fed-BioMed! 2019/07/24
- New Phd Offers in AI 2019/05/03
- Fanny Orlhac awarded with the l’Oréal-UNESCO grant for women in science 2018 2018/10/10
Lastest publications
- Large Scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions
- A magnetic resonance multi-atlas for the neonatal rabbit brain
- Curved Optimal Delaunay Triangulation
- Barycentric Subspace Analysis on Manifolds
- Genetic study of multimodal imaging Alzheimer’s disease progression score implicates novel loci
Cardiac Fibres from in vivo Diffusion Tensor Imaging
Specific acquisition and processing were developed to achieve DTI on a beating heart.Login & RSS