| Dipy, a library for the analysis of diffusion MRI data E Garyfallidis, M Brett, B Amirbekian, A Rokem, S Van Der Walt, ... Frontiers in neuroinformatics 8, 8, 2014 | 1420 | 2014 |
| The challenge of mapping the human connectome based on diffusion tractography KH Maier-Hein, PF Neher, JC Houde, MA Côté, E Garyfallidis, J Zhong, ... Nature communications 8 (1), 1349, 2017 | 1318* | 2017 |
| Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms CMW Tax, F Grussu, E Kaden, L Ning, U Rudrapatna, CJ Evans, ... NeuroImage 195, 285-299, 2019 | 117 | 2019 |
| Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use? L Ning, F Laun, Y Gur, EVR DiBella, S Deslauriers-Gauthier, T Megherbi, ... Medical image analysis 26 (1), 316-331, 2015 | 101 | 2015 |
| Non Local Spatial and Angular Matching: Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising S St-Jean, P Coupé, M Descoteaux Medical image analysis 32, 115-130, 2016 | 86 | 2016 |
| Consensus-based guidance for conducting and reporting multi-analyst studies B Aczel, B Szaszi, G Nilsonne, OR Van Den Akker, CJ Albers, ... Elife 10, e72185, 2021 | 54 | 2021 |
| Seaborn: V0. 7.0 (January 2016) M Waskom, O Botvinnik, P Hobson, Y Halchenko, S Lukauskas, ... Zenodo, 2016 | 33 | 2016 |
| Automated characterization of noise distributions in diffusion MRI data S St-Jean, A De Luca, CMW Tax, MA Viergever, A Leemans Medical Image Analysis 65, 101758, 2020 | 27 | 2020 |
| nibabel: 2.1. 0 M Brett, M Hanke, B Cipollini, MA Côté, C Markiewicz, S Gerhard, ... Zenodo, 2016 | 25 | 2016 |
| Harmonization of diffusion MRI data sets with adaptive dictionary learning S St‐Jean, MA Viergever, A Leemans Human brain mapping 41 (16), 4478-4499, 2020 | 20 | 2020 |
| nipy/nibabel: 5.1. 0 M Brett, CJ Markiewicz, M Hanke, MA Côté, B Cipollini, P McCarthy, ... Published online April 3, 2023 | 16 | 2023 |
| Reducing variability in along-tract analysis with diffusion profile realignment S St-Jean, M Chamberland, MA Viergever, A Leemans Neuroimage 199, 663-679, 2019 | 14 | 2019 |
| Obtaining representative core streamlines for white matter tractometry of the human brain M Chamberland, S St-Jean, CMW Tax, DK Jones Computational Diffusion MRI: International MICCAI Workshop, Granada, Spain …, 2019 | 11 | 2019 |
| Cross-vendor and Cross-protocol harmonisation of diffusion MRI data: a comparative study CMW Tax, F Grussu, E Kaden, L Ning, U Rudrapatna, J Evans, S St-Jean, ... International Symposium on Magnetic Resonance in Medicine (Paris) 471, 2018 | 11 | 2018 |
| [Re] Optimization of a free water elimination two-compartment model for diffusion tensor imaging RN Henriques, A Rokem, E Garyfallidis, S St-Jean, ET Peterson, ... BioRxiv, 108795, 2017 | 11 | 2017 |
| Non Local Spatial and Angular Matching: a new denoising technique for diffusion MRI S St-Jean, P Coupé, M Descoteaux Joint Annual Meeting ISMRM-ESMRMB 2014, 758, 2014 | 10 | 2014 |
| Automatic, fast and robust characterization of noise distributions for diffusion MRI S St-Jean, A De Luca, MA Viergever, A Leemans International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 6 | 2018 |
| Estimation of intra-axonal axial diffusivity by tensor-valued dmri and powder-averaging M Nilsson, S St-Jean, C Beaulieu, F Szczepankiewicz Proceedings of the International Society of Magnetic Resonance in Medicine 647, 2021 | 4 | 2021 |
| Constrained spherical deconvolution on signal and ODF values E Garyfallidis, S St-Jean, M Paquette, P Coupé, M Descoteaux IEEE International Symposium on Biomedical Imaging (ISBI 2013), 17, 2013 | 4 | 2013 |
| A unified framework for upsampling and denoising of diffusion MRI data S St-Jean, M Viergever, A Leemans 25th Annual Meeting of ISMRM 3533, 2017 | 3 | 2017 |
Maxime DescoteauxProfessor of Computer Science, Université de SherbrookeVerifisert e-postadresse på usherbrooke.ca