output
20182022
most citedLearning a Probabilistic Model for Diffeomorphic Registration

250 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2018 · cs.CVShow all

4 papers · 2 filters

cs.CV2018★ 250 cited

Learning a Probabilistic Model for Diffeomorphic Registration

Julian Krebs, Hervé Delingette, Boris Mailhé +2

We propose to learn a low-dimensional probabilistic deformation model from data which can be used for registration and the analysis of deformations. The latent variable model maps…

cs.CV2018★ 4 cited

3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation

Qiao Zheng, Hervé Delingette, Nicolas Duchateau +1

We propose a method based on deep learning to perform cardiac segmentation on short axis MRI image stacks iteratively from the top slice (around the base) to the bottom slice (arou…

cs.CV2018★ 47 cited

Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training

Wen Wei, Emilie Poirion, Benedetta Bodini +4

Multiple sclerosis (MS) is a demyelinating disease of the central nervous system (CNS). A reliable measure of the tissue myelin content is therefore essential for the understanding…

cs.CV2018★ 2 cited

3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation

Qiao Zheng, Hervé Delingette, Nicolas Duchateau +1

We present a novel automated method to segment the myocardium of both left and right ventricles in MRI volumes. The segmentation is consistent in 3D across the slices such that it…