Maxime Chamberland

Maxime Chamberland

Postdoctoral Research Fellow

Cardiff University Brain Research Imaging Centre (CUBRIC), UK


I currently work on the development of neuroimaging applications using diffusion MRI.


  • Diffusion MRI
  • Deep Learning
  • Data Visualization
  • Medical Image Analysis


  • PhD in Biomedical Imaging, 2017

    University of Sherbrooke, Canada

  • MSc in Computer Science, 2013

    University of Sherbrooke, Canada

  • BSc in Digital Imaging Science, 2010

    University of Sherbrooke, Canada

Recent & Upcoming Talks


Highlighting tract-specific microstructural abnormalities in single subjects using autoencoders.


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


Metrics that Matter - Improved statistical power to detect differences in tissue microstructure through dimensionality reduction.


Advances in structural and functional connectivity visualization using the Fibernavigator

Recent Publications

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

There is an urgent need for a paradigm shift from group-wise comparisons to individual diagnosis in diffusion MRI (dMRI) to enable the …

Impact of b-value on estimates of apparent fibre density

Recent advances in diffusion magnetic resonance imaging (dMRI) analysis techniques have improved our understanding of fibre-specific …

Multimodal principal component analysis to identify major features of white matter structure and links to reading

Tractostorm: The what, why, and how of tractography dissection reproducibility

Investigative studies of white matter (WM) brain structures using diffusion MRI (dMRI) tractography frequently require manual WM bundle …

Dimensionality Reduction of Diffusion MRI Measures for Improved Tractometry of the Human Brain

Various diffusion MRI (dMRI) measures have been proposed for characterising tissue microstructure over the last 15 years. Despite the …



Fast and versatile visualization of tractography.