Search Results for author: Maxime Chamberland

Found 3 papers, 1 papers with code

Neural Spherical Harmonics for structurally coherent continuous representation of diffusion MRI signal

no code implementations16 Aug 2023 Tom Hendriks, Anna Vilanova, Maxime Chamberland

We present a novel way to model diffusion magnetic resonance imaging (dMRI) datasets, that benefits from the structural coherence of the human brain while only using data from a single subject.

Tractometry-based Anomaly Detection for Single-subject White Matter Analysis

no code implementations MIDL 2019 Maxime Chamberland, Sila Genc, Erika P. Raven, Greg D. Parker, Adam Cunningham, Joanne Doherty, Marianne van den Bree, Chantal M. W. Tax, Derek K. Jones

There is an urgent need for a paradigm shift from group-wise comparisons to individual diagnosis in diffusion MRI (dMRI) to enable the analysis of rare cases and clinically-heterogeneous groups.

Anomaly Detection

Reducing variability in along-tract analysis with diffusion profile realignment

1 code implementation arXiv 2019 Samuel St-Jean, Maxime Chamberland, Max A. Viergever, Alexander Leemans

In this work, we propose to address the issue of possible misalignment, which might be present even after resampling, by realigning the representative streamline of each subject in this 1D space with a new method, coined diffusion profile realignment (DPR).

Anatomy Specificity

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