Demian Wassermann

About Me

I am currently an associate research professor (chargé de recherche classe normale) at the Parietal team, INRIA Saclay Île-de-France.

My work mainly focuses on developing mathematical models of brain anatomy, through Diffusion MRI and their clinical applications. I also have interests in image registration and machine learning.

You can see the full list of my articles in my google scholar profile and my professional CV at my linkedin or ORCID profiles.

Contact Information

demian.wassermann inria.fr

1 rue Honoré d’Estienne d’Orves, 91120 Palaiseau, France

+33 4 92 38 75 89

Selected publications

Human Brain Mapping

2017

AxTract: Toward microstructure informed tractography

International Conference on Information Processing in Medical Imaging

2017

Extracting the Groupwise Core Structural Connectivity Network: Bridging Statistical and Graph-Theoretical Approaches

NeuroImage

2017

Groupwise structural parcellation of the whole cortex: a logistic random effects model based approach

Medical Image Analysis

2017

Non-Parametric GraphNet-Regularized Representation of dMRI in Space and Time

Brain Structure and Function

2016

The white matter query language: a novel approach for describing human white matter anatomy

Brain Structure and Function

2015

Plasticity of left perisylvian white-matter tracts is associated with individual differences in math learning

CVPR

2014

Deformable Registration of Feature-Endowed Point Sets Based on Tensor Fields

NeuroImage

2010

Unsupervised white matter fiber clustering and tract probability map generation: Applications of a Gaussian process framework for white matter fibers

Software

LogPar: Logistic Random Effects Based Parcellation of the Brain from Diffusion MRI

Tract Querier: The White Matter Query Language (WMQL)

SlicerDMRI: Diffusion magnetic resonance imaging in 3D Slicer open-source software

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