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Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge
Marco Pizzolato*, Marco Palombo, Elisenda Bonet-Carne, Chantal M.W. Tax, Francesco Grussu, Andrada Ianus, Fabian Bogusz, Tomasz Pieciak, Lipeng Ning, Hugo Larochelle, Maxime Descoteaux, Maxime Chamberland, Stefano B. Blumberg, Thomy Mertzanidou, Daniel C. Alexander, Maryam Afzali, Santiago Aja-Fernández, Derek K. Jones, Carl Fredrik Westin, Yogesh Rathi
*Corresponding author for this work
- Department of Photonics Engineering-DTU
- École Polytechnique Fédérale de Lausanne
- UCL University College London
- BCNatal Fetal Medicine Research Center
- Cardiff Law School
- UMC University Medical Center Utrecht
- Champalimaud Centre for the Unknown
- AGH University of Science and Technology
- Universidad de Valladolid
- Harvard Medical School
- Google Inc.
- Université de Sherbrooke
- Cardiff University
- School of Psychology
- Australian Catholic University
- NYU School of Medicine
- Centre for Medical Engineering
- King's College London
- Eidgenossische Technische Hochschule Zurich
- Centre Hospitalier Universitaire Vaudois
- USC University of Southern California
Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
14
Citations
(Scopus)