Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge

Autor: Gabriel Girard, Jonathan Rafael-Patiño, 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, Matteo Battocchio, Zuzana Piskorova, Pietro Bontempi, Simona Schiavi, Alessandro Daducci, Aleksandra Stafiej, Dominika Ciupek, Fabian Bogusz, Tomasz Pieciak, Matteo Frigo, Sara Sedlar, Samuel Deslauriers-Gauthier, Ivana Kojčić, Mauro Zucchelli, Hiba Laghrissi, Yang Ji, Rachid Deriche, Kurt G Schilling, Bennett A. Landman, Alberto Cacciola, Gianpaolo Antonio Basile, Salvatore Bertino, Nancy Newlin, Praitayini Kanakaraj, Francois Rheault, Patryk Filipiak, Timothy M. Shepherd, Ying-Chia Lin, Dimitris G. Placantonakis, Fernando E. Boada, Steven H. Baete, Erick Hernández-Gutiérrez, Alonso Ramírez-Manzanares, Ricardo Coronado-Leija, Pablo Stack-Sánchez, Luis Concha, Maxime Descoteaux, Sina Mansour L．, Caio Seguin, Andrew Zalesky, Kenji Marshall, Erick J. Canales-Rodríguez, Ye Wu, Sahar Ahmad, Pew-Thian Yap, Antoine Théberge, Florence Gagnon, Frédéric Massi, Elda Fischi-Gomez, Rémy Gardier, Juan Luis Villarreal Haro, Marco Pizzolato, Emmanuel Caruyer, Jean-Philippe Thiran

Publikováno v: NeuroImage, Vol 277, Iss , Pp 120231- (2023)

Estimating structural connectivity from diffusion-weighted magnetic resonance imaging is a challenging task, partly due to the presence of false-positive connections and the misestimation of connection weights. Building on previous efforts, the MICCA

Externí odkaz: https://doaj.org/article/ecead27379324a32a220bcfd785bf163

An evolutionary framework for microstructure-sensitive generalized diffusion gradient waveforms

Autor: Jonathan Rafael-Patino, Jean-Philippe Thiran, Emmanuel Caruyer, Marco Pizzolato, Raphaël Truffet, Christian Barillot, Gabriel Girard

Publikováno v: MICCAI 2020-23rd International Conference on Medical Image Computing and Computer Assisted Intervention
MICCAI 2020-23rd International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2020, Lima, Peru. pp.1-11
Truffet, R, Rafael-Patino, J, Girard, G, Pizzolato, M, Barillot, C, Thiran, J P & Caruyer, E 2020, An Evolutionary Framework for Microstructure-Sensitive Generalized Diffusion Gradient Waveforms . in A L Martel, P Abolmaesumi, D Stoyanov, D Mateus, M A Zuluaga, S K Zhou, D Racoceanu & L Joskowicz (eds), Medical Image Computing and Computer Assisted Intervention . Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12262 LNCS, pp. 94-103, 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, Lima, Peru, 04/10/2020 . https://doi.org/10.1007/978-3-030-59713-9_10
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597122
MICCAI (2)
HAL

International audience; In diffusion-weighted MRI, general gradient waveforms became of interest for their sensitivity to microstructure features of the brain white matter. However, the design of such waveforms remains an open problem. In this work,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::743f335beaacb8f9a011a93fdfd6e031
https://www.hal.inserm.fr/inserm-02910086/document

The diffusion-simulated connectivity (DiSCo) dataset

Autor: Jonathan Rafael-Patino, Jean-Philippe Thiran, Raphaël Truffet, Emmanuel Caruyer, Gabriel Girard, Marco Pizzolato

Publikováno v: Data in Brief, Vol 38, Iss, Pp 107429-(2021)
Data in Brief
Data in Brief, 2021, 38, pp.1-7. ⟨10.1016/j.dib.2021.107429⟩
Data in Brief, Elsevier, 2021, 38, pp.1-7. ⟨10.1016/j.dib.2021.107429⟩
Rafael-Patino, J, Girard, G, Truffet, R, Pizzolato, M, Caruyer, E & Thiran, J-P 2021, ' The Diffusion-Simulated Connectivity (DiSCo) Dataset ', Data in Brief, vol. 38, 107429 . https://doi.org/10.1016/j.dib.2021.107429

Graphical abstract
The methodological development in the mapping of the brain structural connectome from diffusion-weighted magnetic resonance imaging (DW-MRI) has raised many hopes in the neuroscientific community. Indeed, the knowledge of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3723e03fd37a360de9ef11c8f48a0a4a
https://infoscience.epfl.ch/record/289954