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Michaël Paquette
Michaël Paquette
MPI CBS
Verified email at cbs.mpg.de
Title
Cited by
Cited by
Year
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
8832017
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
8742014
Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI
A Daducci, EJ Canales-Rodrı, M Descoteaux, E Garyfallidis, Y Gur, ...
IEEE transactions on medical imaging 33 (2), 384-399, 2013
1792013
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
832015
Tractography-based connectomes are dominated by false-positive connections
KH Maier-Hein, P Neher, JC Houde, MA Côté, E Garyfallidis, J Zhong, ...
biorxiv, 084137, 2016
672016
Comparison of sampling strategies and sparsifying transforms to improve compressed sensing diffusion spectrum imaging
M Paquette, S Merlet, G Gilbert, R Deriche, M Descoteaux
Magnetic resonance in medicine 73 (1), 401-416, 2015
542015
Tractography reproducibility challenge with empirical data (traced): The 2017 ismrm diffusion study group challenge
V Nath, KG Schilling, P Parvathaneni, Y Huo, JA Blaber, AE Hainline, ...
Journal of Magnetic Resonance Imaging, 2019
342019
The challenge of mapping the human connectome based on diffusion tractography. Nat Commun 8: 1349
KH Maier-Hein, PF Neher, JC Houde, MA Côté, E Garyfallidis, J Zhong, ...
282017
Increased sensitivity and signal-to-noise ratio in diffusion-weighted MRI using multi-echo acquisitions
C Eichner, M Paquette, T Mildner, T Schlumm, K Pléh, L Samuni, ...
NeuroImage 221, 117172, 2020
232020
The challenge of mapping the human connectome based on diffusion tractography. Nat Commun 8 (1): 1349
KH Maier-Hein, PF Neher, JC Houde, MA Cote, E Garyfallidis, J Zhong, ...
152017
Optimal DSI reconstruction parameter recommendations: better ODFs and better connectivity
M Paquette, G Gilbert, M Descoteaux
NeuroImage 142, 1-13, 2016
152016
Tractography-based connectomes are dominated by false-positive connections. bioRxiv
K Maier-Hein, P Neher, JC Houde, MA Cote, E Garyfallidis, J Zhong, ...
November, 2016
132016
Ensemble average propagator reconstruction via compressed sensing: Discrete or continuous bases?
S Merlet, M Paquette, R Deriche, M Descoteaux
ISMRM 20th Annual Meeting (2012), 2277, 2012
112012
Author Correction: 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 10 (1), 1-2, 2019
102019
The impact of gradient non-linearity on Maxwell compensation when using asymmetric gradient waveforms for tensor-valued diffusion encoding
F Szczepankiewicz, C Eichner, A Anwander, CF Westin, M Paquette
Proc. Intl. Soc. Mag. Reson. Med 28, 3391, 2020
52020
Axon Diameter Measurements using Diffusion MRI are Infeasible
M Paquette, C Eichner, TR Knösche, A Anwander
bioRxiv, 2020
52020
Gradient non-linearity correction for spherical mean diffusion imaging
M Paquette, C Eichner, A Anwander
International Symposium on Magnetic Resonance in Medicine (ISMRM’19), 550, 2019
52019
Comparison between discrete and continuous propagator indices from cartesian q-space dsi sampling
M Zucchelli, E Garyfallidis, M Paquette, S Merlet, G Menegaz, ...
ISMRM: International Society for Magnetic Resonance in Medicine, 4294, 2014
52014
A joint recommendation for optimized preprocessing of connectom diffusion MRI data
C Eichner, Q Fan, S Huang, D Jones, E Kirilina, M Paquette, ...
42019
The application of a new sampling theorem for non-bandlimited signals on the sphere: Improving the recovery of crossing fibers for low b-value acquisitions
S Deslauriers-Gauthier, P Marziliano, M Paquette, M Descoteaux
Medical image analysis 30, 46-59, 2016
42016
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