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Olivier Commowick

Researcher at University of Rennes

Publications -  117
Citations -  3827

Olivier Commowick is an academic researcher from University of Rennes. The author has contributed to research in topics: Diffusion MRI & Segmentation. The author has an hindex of 29, co-authored 113 publications receiving 3277 citations. Previous affiliations of Olivier Commowick include French Institute for Research in Computer Science and Automation & Boston Children's Hospital.

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Proceedings ArticleDOI

Unbiased Longitudinal Brain Atlas Creation Using Robust Linear Registration And Log-Euclidean Framework For Diffeomorphisms

TL;DR: This work presents a new method to create a diffeomorphic longitudinal (4D) atlas composed of a set of 3D atlases each representing an average model at a given age by generalizing atlasing methods to produce atlased unbiased with respect to the initial reference up to a rigid transformation and ensuring Diffeomorphic deformations thanks to the Baker-Campbell-Hausdorff formula and the log-Euclidean framework for diffeomorphisms.
Journal ArticleDOI

Biomedical image analysis competitions: The state of current participation practice

Matthias Eisenmann, +353 more
- 16 Dec 2022 - 
TL;DR: In this paper , only 50% of the participants performed ensembling based on multiple identical models (61%) or heterogeneous models (39%), while 48% of respondents applied postprocessing steps.
Book ChapterDOI

Non-local robust detection of DTI white matter differences with small databases.

TL;DR: This paper proposes a new method that relies on the search for samples in a local neighborhood of each pixel to increase the size of the database to perform a voxelwise comparison of a patient image with respect to a population of controls.
Journal ArticleDOI

Diffusion MRI abnormalities detection with orientation distribution functions: a multiple sclerosis longitudinal study.

TL;DR: The predictive value of ODF-based scores for the early detection of lesions that will appear or heal and the efficiency of this pipeline on the longitudinal comparison of multiple sclerosis patients at an early stage of the disease are demonstrated.