M
Maxime Descoteaux
Researcher at Université de Sherbrooke
Publications - 313
Citations - 12369
Maxime Descoteaux is an academic researcher from Université de Sherbrooke. The author has contributed to research in topics: Tractography & Diffusion MRI. The author has an hindex of 47, co-authored 272 publications receiving 9493 citations. Previous affiliations of Maxime Descoteaux include Centre Hospitalier Universitaire de Sherbrooke & French Institute for Research in Computer Science and Automation.
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Journal ArticleDOI
The challenge of mapping the human connectome based on diffusion tractography
Klaus H. Maier-Hein,Peter F. Neher,Jean-Christophe Houde,Marc-Alexandre Côté,Eleftherios Garyfallidis,Jidan Zhong,Maxime Chamberland,Fang-Cheng Yeh,Ying-Chia Lin,Qing Ji,Wilburn E. Reddick,John O. Glass,David Qixiang Chen,Yuanjing Feng,Chengfeng Gao,Ye Wu,Jieyan Ma,H Renjie,Qiang Li,Carl-Fredrik Westin,Samuel Deslauriers-Gauthier,J. Omar Ocegueda Gonzalez,Michael Paquette,Samuel St-Jean,Gabriel Girard,François Rheault,Jasmeen Sidhu,Chantal M. W. Tax,Fenghua Guo,Hamed Y. Mesri,Szabolcs David,Martijn Froeling,Anneriet M. Heemskerk,Alexander Leemans,Arnaud Boré,Basile Pinsard,Christophe Bedetti,Matthieu Desrosiers,Simona M. Brambati,Julien Doyon,Alessia Sarica,Roberta Vasta,Antonio Cerasa,Aldo Quattrone,Jason D. Yeatman,Ali R. Khan,Wes Hodges,Simon Alexander,David Romascano,Muhamed Barakovic,Anna Auría,Oscar Esteban,Alia Lemkaddem,Jean-Philippe Thiran,Hasan Ertan Cetingul,Benjamin L. Odry,Boris Mailhe,Mariappan S. Nadar,Fabrizio Pizzagalli,Gautam Prasad,Julio E. Villalon-Reina,Justin Galvis,Paul M. Thompson,Francisco De Santiago Requejo,Pedro Luque Laguna,Luis Miguel Lacerda,Rachel Barrett,Flavio Dell'Acqua,Marco Catani,Laurent Petit,Emmanuel Caruyer,Alessandro Daducci,Tim B. Dyrby,Tim Holland-Letz,Claus C. Hilgetag,Bram Stieltjes,Maxime Descoteaux +76 more
TL;DR: The encouraging finding that most state-of-the-art algorithms produce tractograms containing 90% of the ground truth bundles (to at least some extent) is reported, however, the same tractograms contain many more invalid than valid bundles, and half of these invalid bundles occur systematically across research groups.
Journal ArticleDOI
Dipy, a library for the analysis of diffusion MRI data
Eleftherios Garyfallidis,Eleftherios Garyfallidis,Matthew Brett,Bagrat Amirbekian,Ariel Rokem,Stefan van der Walt,Maxime Descoteaux,Ian Nimmo-Smith +7 more
TL;DR: Dipy aims to provide transparent implementations for all the different steps of dMRI analysis with a uniform programming interface, and has implemented classical signal reconstruction techniques, such as the diffusion tensor model and deterministic fiber tractography.
Journal ArticleDOI
Regularized, fast, and robust analytical Q-ball imaging
TL;DR: A regularized, fast, and robust analytical solution for the Q‐ball imaging (QBI) reconstruction of the orientation distribution function (ODF) together with its detailed validation and a discussion on its benefits over the state‐of‐the‐art.
Journal ArticleDOI
Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions
TL;DR: An integral concept for tractography to describe crossing and splitting fibre bundles based on the fibre orientation distribution function (ODF) estimated from high angular resolution diffusion imaging (HARDI) is proposed and new deterministic and new probabilistic tractography algorithms using the full multidirectional information obtained through use of the fibre ODF are developed.
Journal ArticleDOI
Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom.
Pierre Fillard,Maxime Descoteaux,Alvina Goh,Sylvain Gouttard,Ben Jeurissen,James G. Malcolm,Alonso Ramirez-Manzanares,Marco Reisert,Kenneth Earl Sakaie,F. Tensaouti,Ting Yo,Jean-François Mangin,Cyril Poupon +12 more
TL;DR: A common dataset with known ground truth and a reproducible methodology to quantitatively evaluate the performance of various diffusion models and tractography algorithms is used and evidence that diffusion models such as (fiber) orientation distribution functions correctly model the underlying fiber distribution is provided.