Maxime Chamberland
Department / Institute
Group
RESEARCH PROFILE
My research interests are driven by a passion to improve our understanding of the human brain by developing neuroimaging visualization & analysis methods.
My main focus is to develop software and visualization tools to bridge the gap between computer science and medical imaging. More specifically, my work includes the development of software to navigate the brain's white matter architecture using diffusion MRI tractography, real-time 3D multimodal visualization, anomaly detection based on machine learning, and unsupervised dimensionality reduction approaches applied to neuroimaging data (e.g., brain tumors, epilepsy, multiple sclerosis).
My ambition is to develop the best visualization tools to characterize complex, multi-dimensional data for improved patient-specific healthcare.
Experience does for the soul what education does for the mind.
ACADEMIC BACKGROUND
Maxime obtained his M.Sc. degree (2011-2013) at the Computer Science Department in Medical Imaging at Sherbrooke University (Quebec, Canada). He pursued his Ph.D. studies in Biomedical Imaging from the Department of Health Sciences at Sherbrooke University (2013-2017), under the supervision of Prof. Maxime Descoteaux. He was a postdoc at the Cardiff University Brain Research Imaging Centre (CUBRIC, UK) from 2017-2021, thankfully supported by the Natural Sciences and Engineering Research Council of Canada (NSERC). After that, Maxime joined the Donders Institute for Brain, Cognition and Behavior (NL) after receiving the Radboud University Excellence Initiative Fellowship (2021-2022). Maxime also served on the Scholarships and Fellowships Selection Committee for Chemical, Biomedical and Materials Science Engineering from 2020-2023.
Recent Publications
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Tom Hendriks,Anna Vilanova,Maxime Chamberland
Neural Spherical Harmonics for Structurally Coherent Continuous Representation of Diffusion MRI Signal
(2024) -
Besm Osman,Mestiez Pereira,Huub Van de wetering,Maxime Chamberland
Voxlines: Streamline Transparency Through Voxelization and View-Dependent Line Orders
(2024) -
Hao Li,Mina A. Jacob,Mengfei Cai,Marco Duering,Maxime Chamberland,David G. Norris,Roy P.C. Kessels,Frank-Erik de Leeuw,José P. Marques,Anil M. Tuladhar
Regional cortical thinning, demyelination, and iron loss in cerebral small vessel disease
Brain (2023) -
Kurt G. Schilling,Jordan A. Chad,Maxime Chamberland,Victor Nozais,Francois Rheault,Derek Archer,Muwei Li,Yurui Gao,Leon Cai,Flavio Del'Acqua
White matter tract microstructure, macrostructure, and associated cortical gray matter morphology across the lifespan
(2023) -
Hao Li,Mengfei Cai,Mina A. Jacob,David G. Norris,José P. Marques,Maxime Chamberland,Marco Duering,Roy P.C. Kessels,Frank-Erik de Leeuw,Anil M. Tuladhar
Dissociable Contributions of Thalamic-Subregions to Cognitive Impairment in Small Vessel Disease
Stroke : a Journal of Celebral Circulation (2023)
Current Educational Activities
Ancillary Activities
No ancillary activities