A building-wide indoor tracking system for augmented reality. - Stéphane Côté; Francois Rheault; Julien Barnard (VR, 2015)

Visualization, Interaction and Tractometry: Dealing with Millions of Streamlines from Diffusion MRI Tractography. - Francois Rheault; Jean-Christophe Houde; Maxime Descoteaux (Frontiers Neuroinformatics, 2017)

Edema-Informed Anatomically Constrained Particle Filter Tractography. - Samuel Deslauriers-Gauthier; Drew Parker; François Rheault; Rachid Deriche; Steven Brem; Maxime Descoteaux; Ragini Verma (MICCAI (3), 2018)

Recognition of white matter bundles using local and global streamline-based registration and clustering. - Eleftherios Garyfallidis; Marc-Alexandre Côté; Francois Rheault; Jasmeen Sidhu; Janice Hau; Laurent Petit; David Fortin; Stephen Cunanne; Maxime Descoteaux (NeuroImage, 2018)

Bundle-specific tractography with incorporated anatomical and orientational priors. - Francois Rheault; Etienne St-Onge; Jasmeen Sidhu; Klaus H. Maier-Hein; Nathalie Tzourio-Mazoyer; Laurent Petit; Maxime Descoteaux (NeuroImage, 2019)

Tractography filtering using autoencoders. - Jon Haitz Legarreta; Laurent Petit; François Rheault; Guillaume Theaud; Carl Lemaire; Maxime Descoteaux; Pierre-Marc Jodoin (CoRR, 2020)

TractoFlow: A robust, efficient and reproducible diffusion MRI pipeline leveraging Nextflow & Singularity. - Guillaume Theaud; Jean-Christophe Houde; Arnaud Boré; François Rheault; Félix C. Morency; Maxime Descoteaux (NeuroImage, 2020)

Hierarchical Microstructure Informed Tractography. - Mario Ocampo-Pineda; Simona Schiavi; François Rheault; Gabriel Girard; Laurent Petit; Maxime Descoteaux; Alessandro Daducci (Brain Connect., 2021)

Filtering in tractography using autoencoders (FINTA). - Jon Haitz Legarreta; Laurent Petit; François Rheault; Guillaume Theaud; Carl Lemaire; Maxime Descoteaux; Pierre-Marc Jodoin (Medical Image Anal., 2021)

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? - Kurt G. Schilling; François Rheault; Laurent Petit; Colin B. Hansen; Vishwesh Nath; Fang-Cheng Yeh; Gabriel Girard; Muhamed Barakovic; Jonathan Rafael-Patino; Thomas Yu; Elda Fischi Gomez; Marco Pizzolato; et al. (NeuroImage, 2021)

Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle segmentation workflow. - Kurt G. Schilling; Chantal M. W. Tax; Francois Rheault; Colin B. Hansen; Qi Yang 004; Fang-Cheng Yeh; Leon Y. Cai; Adam W. Anderson; Bennett A. Landman (NeuroImage, 2021)

Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography. - Colin B. Hansen; Qi Yang 004; Ilwoo Lyu; Francois Rheault; Cailey I. Kerley; Bramsh Qamar Chandio; Shreyas Fadnavis; Owen A. Williams; Andrea T. Shafer; Susan M. Resnick; David H. Zald; Laurie E. Cutting; et al. (Neuroinformatics, 2021)

Joint independent component analysis for hypothesizing spatiotemporal relationships between longitudinal gray and white matter changes in preclinical Alzheimer's disease. - Leon Y. Cai; Francois Rheault; Cailey I. Kerley; Katherine S. Aboud; Lori L. Beason-Held; Andrea T. Shafer; Susan M. Resnick; Lori C. Jordan; Adam W. Anderson; Kurt G. Schilling; Bennett A. Landman (Image Processing, 2022)

Multimodal neuroimaging in pediatric type 1 diabetes: a pilot multisite feasibility study of acquisition quality, motion, and variability. - Leon Y. Cai; Costin Tanase; Adam W. Anderson; Karthik Ramadass; Francois Rheault; Chelsea A. Lee; Niral J. Patel; Sky Jones; Lauren M. LeStourgeon; Alix Mahon; Sumit Pruthi; Kriti Gwal; et al. (Image Processing, 2022)

Mapping the impact of non-linear gradient fields on diffusion MRI tensor estimation. - Praitayini Kanakaraj; Colin B. Hansen; Francois Rheault; Leon Y. Cai; Karthik Ramadass; Baxter P. Rogers; Kurt G. Schilling; Bennett A. Landman (Image Processing, 2022)

Ultra-high-resolution mapping of cortical layers 3T-guided 7T MRI. - Karthik Ramadass; Francois Rheault; Leon Y. Cai; Lucas W. Remedios; Micah D'Archangel; Ilwoo Lyu; Laura A. Barquero; Allen T. Newton; Laurie E. Cutting; Yuankai Huo; Bennett A. Landman (Image Processing, 2022)

Longitudinal changes of connectomes and graph theory measures in aging. - Yuzhe Wang; Francois Rheault; Kurt G. Schilling; Lori L. Beason-Held; Andrea T. Shafer; Susan M. Resnick; Bennett A. Landman (Image Processing, 2022)

FIESTA: Autoencoders for accurate fiber segmentation in tractography. - Félix Dumais; Jon Haitz Legarreta; Carl Lemaire; Philippe Poulin; François Rheault; Laurent Petit; Maxime Descoteaux; Pierre-Marc Jodoin (CoRR, 2022)

BundleSeg: A Versatile, Reliable and Reproducible Approach to White Matter Bundle Segmentation. - Etienne St-Onge; Kurt G. Schilling; Francois Rheault (CDMRI@MICCAI, 2023)

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 004; Graham Walter Johnson; Daniel Moyer; Kurt Gregory Schilling; Francois Rheault; Bennett A. Landman (MIDL, 2023)

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 006; Sophie Chiron; Ken S. Lau; Joseph T. Roland; Mary K. Washington; Lori A. Coburn; et al. (Digital and Computational Pathology, 2023)

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)

Deep constrained spherical deconvolution for robust harmonization. - Tianyuan Yao; Francois Rheault; Leon Y. Cai; Vishwesh Nath; Zuhayr Asad; Nancy Newlin; Can Cui 006; Ruining Deng; Karthik Ramadass; Kurt Schilling; Bennett A. Landman; Yuankai Huo (Image Processing, 2023)

Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI. - Tianyuan Yao; Francois Rheault; Leon Y. Cai; Vishwesh Nath; Zuhayr Asad; Nancy Newlin; Can Cui 006; Ruining Deng; Karthik Ramadass; Andrea T. Shafer; Susan M. Resnick; Kurt Schilling; et al. (CoRR, 2023)

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; et al. (NeuroImage, 2023)

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)