Director of Computer Science Programs & Head of VITALab
My GitHub repos : Personnal repo, VitaLab repo, scil-vital repo
My institutional page : Université de SherbrookeTotal Citations
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World Scientist (2021-2025)
My work at the VITALab (Video & Images Theory and Analytics Laboratory) focuses on advancing foundational deep learning approaches for reliable and reproducible biomedical feature extraction, providing the essential AI infrastructure required for interpretable diagnostic and prognostic models in neuroimaging and cardiology.
Research areas :
Focus on automated segmentation and analysis of Cardiac MRI and Ultrasound to quantify clinical metrics and aid diagnosis.
Echocardiography
Segmentation
Strain Analysis
AI models for Diffusion MRI (dMRI) and Tractography, emphasizing Data Harmonization across multi-site studies and biomarker discovery.
Neuroimaging
Data Harmonization
Tractography
Quantifying the confidence of AI predictions to ensure safety and reliability in clinical settings (Trustworthy AI).
Uncertainty Quantification
Trustworthy AI
Computer Vision
Best Doctoral Thesis Award (Medicine & Health Sciences, UdeS) for my student Nathan Painchaud's work.
Best Oral Paper at the International Society for Tractography Conference for "BundleParc".
Discovery of the Year by the Centre de recherche clinique du CHUS.