Francois Rheault

Assistant Professor, Informatique, Université de Sherbrooke

Joined

January 2020

Names

Francois Rheault (Preferred)

Emails

****@usherbrooke.ca (Confirmed)

Personal Links

Career & Education History

Assistant Professor

Informatique, Université de Sherbrooke (usherbrooke.ca)

2022 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

Neuroimaging

Present

Tractography

Present

Computer Vision

Present

Publications

End-to-End Patch-Based Semantic Segmentation for Paramagnetic Rim Lesion Detection
Zineb El yamani, Antoine Theberge, Manon Edde, Olivier Grimard, Emmanuelle Lapointe, Stefano Magon, Muhamed Barakovic, Maxime Descoteaux, Francois Rheault
- MIDL 2025 - Short Papers
- Readers: Everyone
FIESTA: Autoencoders for accurate fiber segmentation in tractography
Félix Dumais, Jon Haitz Legarreta, Carl Lemaire, Philippe Poulin, François Rheault, Laurent Petit, Muhamed Barakovic, Stefano Magon, Maxime Descoteaux, Pierre-Marc Jodoin
- NeuroImage 2023
- Readers: Everyone
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge
Gabriel Girard, Jonathan Rafael-Patino, Raphaël Truffet, Dogu Baran Aydogan, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Sara Bosticardo, Ilaria Gabusi, Mario Ocampo-Pineda, Matteo Battocchio, Zuzana Piskorova, Pietro Bontempi, Simona Schiavi, Alessandro Daducci, Aleksandra Stafiej, Dominika Ciupek, Fabian Bogusz et al. (46 additional authors not shown)
- Published: 01 Jan 2023, Last Modified: 10 Nov 2023
- NeuroImage 2023
- Readers: Everyone
Implementation considerations for deep learning with diffusion MRI streamline tractography
Leon Yichen Cai, Ho Hin Lee, Nancy Rose Newlin, Michael Eugene Kim, Daniel Moyer, Francois Rheault, Kurt Gregory Schilling, Bennett A. Landman
- Published: 28 Apr 2023, Last Modified: 30 May 2023
- MIDL 2023 Short paper track Poster
- Readers: Everyone
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context
Leon Yichen Cai, Ho Hin Lee, Nancy Rose Newlin, Cailey Irene Kerley, Praitayini Kanakaraj, Qi Yang, Graham Walter Johnson, Daniel Moyer, Kurt Gregory Schilling, Francois Rheault, Bennett A. Landman
- Published: 04 Apr 2023, Last Modified: 22 Apr 2023
- MIDL 2023 Poster
- Readers: Everyone
Mapping the impact of approximate gradient nonlinearity fields correction on tractography
Praitayini Kanakaraj, Francois Rheault, Leon Y. Cai, Nancy Newlin, Fang-Cheng Yeh, Baxter P. Rogers, Kurt G. Schilling, Bennett A. Landman
- Image Processing 2023
- Readers: Everyone
BundleSeg: A versatile, reliable and reproducible approach to white matter bundle segmentation
Etienne St-Onge, Kurt G. Schilling, Francois Rheault
- CoRR 2023
- Readers: Everyone
BundleSeg: A Versatile, Reliable and Reproducible Approach to White Matter Bundle Segmentation
Etienne St-Onge, Kurt G. Schilling, Francois Rheault
- CDMRI@MICCAI 2023
- Readers: Everyone
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context
Leon Yichen Cai, Ho Hin Lee, Nancy Rose Newlin, Cailey Irene Kerley, Praitayini Kanakaraj, Qi Yang, Graham Walter Johnson, Daniel Moyer, Kurt Gregory Schilling, Francois Rheault, Bennett A. Landman
- MIDL 2023
- Readers: Everyone
Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels
Lucas W. Remedios, Shunxing Bao, Cailey I. Kerley, Leon Y. Cai, François Rheault, Ruining Deng, Can Cui, Sophie Chiron, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman
- Digital and Computational Pathology 2023
- Readers: Everyone

View all 30 publications

Co-Authors

View all 267 co-authors