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20172021
most citedBenchmarking off-the-shelf statistical shape modeling tools in clinical applications

51 citations · 116 across the 7 of their papers we have counts for

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cs.CV202051 cited

Benchmarking off-the-shelf statistical shape modeling tools in clinical applications

Anupama Goparaju, Alexandre Bone, Nan Hu +8

Statistical shape modeling (SSM) is widely used in biology and medicine as a new generation of morphometric approaches for the quantitative analysis of anatomical shapes. Technolog…

cs.CV2018

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

Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms

Alexandre Bône, Olivier Colliot, Stanley Durrleman

We propose a method to learn a distribution of shape trajectories from longitudinal data, i.e. the collection of individual objects repeatedly observed at multiple time-points. The…

cs.CV201715 cited

Parallel transport in shape analysis: a scalable numerical scheme

Maxime Louis, Alexandre Bône, Benjamin Charlier +1

The analysis of manifold-valued data requires efficient tools from Riemannian geometry to cope with the computational complexity at stake. This complexity arises from the always-in…

cs.CV20178 cited

Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline

Alexandre Bône, Maxime Louis, Alexandre Routier +5

We propose a method to predict the subject-specific longitudinal progression of brain structures extracted from baseline MRI, and evaluate its performance on Alzheimer's disease da…

cs.CV2017

White Matter Fiber Segmentation Using Functional Varifolds

Kuldeep Kumar, Pietro Gori, Benjamin Charlier +3

The extraction of fibers from dMRI data typically produces a large number of fibers, it is common to group fibers into bundles. To this end, many specialized distance measures, suc…