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Samuel St-Jean

Showing results (1-10 of 9) with videos related to

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Medical Image Analysis|April 16, 2016
Non Local Spatial and Angular Matching: Enabling higher spatial resolution diffusion MRI datasets through adaptive denoisingSamuel St-Jean, Pierrick Coupé, Maxime Descoteaux
Human Brain Mapping|August 28, 2020
Harmonization of diffusion MRI data sets with adaptive dictionary learningSamuel St-Jean, Max A Viergever, Alexander Leemans
Neuroimage|June 14, 2019
Reducing variability in along-tract analysis with diffusion profile realignmentSamuel St-Jean, Maxime Chamberland, Max A Viergever, et al.
Medical Image Analysis|June 30, 2020
Automated characterization of noise distributions in diffusion MRI dataSamuel St-Jean, Alberto De Luca, Chantal M W Tax, et al.
Medical Image Analysis|November 26, 2015
Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?Lipeng Ning, Frederik Laun, Yaniv Gur, et al.
Neuroimage|February 5, 2019
Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithmsChantal Mw Tax, Francesco Grussu, Enrico Kaden, et al.
Elife|November 9, 2021
Consensus-based guidance for conducting and reporting multi-analyst studiesBalazs Aczel, Barnabas Szaszi, Gustav Nilsonne, et al.
Nature Communications|November 9, 2017
The challenge of mapping the human connectome based on diffusion tractographyKlaus H Maier-Hein, Peter F Neher, Jean-Christophe Houde, et al.
Nature Communications|November 6, 2019
Author Correction: The challenge of mapping the human connectome based on diffusion tractographyKlaus H Maier-Hein, Peter F Neher, Jean-Christophe Houde, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Medical Image Analysis|April 16, 2016
Non Local Spatial and Angular Matching: Enabling higher spatial resolution diffusion MRI datasets through adaptive denoisingSamuel St-Jean, Pierrick Coupé, Maxime Descoteaux
Human Brain Mapping|August 28, 2020
Harmonization of diffusion MRI data sets with adaptive dictionary learningSamuel St-Jean, Max A Viergever, Alexander Leemans
Neuroimage|June 14, 2019
Reducing variability in along-tract analysis with diffusion profile realignmentSamuel St-Jean, Maxime Chamberland, Max A Viergever, et al.
Medical Image Analysis|June 30, 2020
Automated characterization of noise distributions in diffusion MRI dataSamuel St-Jean, Alberto De Luca, Chantal M W Tax, et al.
Medical Image Analysis|November 26, 2015
Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?Lipeng Ning, Frederik Laun, Yaniv Gur, et al.
Neuroimage|February 5, 2019
Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithmsChantal Mw Tax, Francesco Grussu, Enrico Kaden, et al.
Elife|November 9, 2021
Consensus-based guidance for conducting and reporting multi-analyst studiesBalazs Aczel, Barnabas Szaszi, Gustav Nilsonne, et al.
Nature Communications|November 9, 2017
The challenge of mapping the human connectome based on diffusion tractographyKlaus H Maier-Hein, Peter F Neher, Jean-Christophe Houde, et al.
Nature Communications|November 6, 2019
Author Correction: The challenge of mapping the human connectome based on diffusion tractographyKlaus H Maier-Hein, Peter F Neher, Jean-Christophe Houde, et al.
Pageof 1