microTorch: A Software Package for Fast and Flexible Self-Supervised Diffusion MRI Model Fitting
Authors
Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff; School of Computer Science and Informatics, Cardiff University, Cardiff
Center for Image Sciences, University Medical Center Utrecht, Utrecht
Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff; School of Computer Science and Informatics, Cardiff University, Cardiff, UK; Politecnico di Milano, Milan; Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato, Consiglio Nazionale delle Ricerche, Milan
planchuelogomeza@cardiff.ac.uk
Laboratorio de Procesado de Imagen (LPI), Universidad de Valladolid, Valladolid; LPI-BIVa, Valladolid Health Research Institute (IBioVALL), Valladolid
Xiaoxiang Chen
Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff; School of Computer Science and Informatics, Cardiff University, Cardiff
Christopher S. Parker
UCL Hawkes Institute, University College London, London
Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff; School of Computer Science and Informatics, Cardiff University, Cardiff
Center for Image Sciences, University Medical Center Utrecht, Utrecht
UCL Hawkes Institute, University College London, London
Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff; School of Computer Science and Informatics, Cardiff University, Cardiff
DOI: https://doi.org/10.5334/jors.736 | Journal eISSN: 2049-9647
Language: English
Page range: 59 - 59
Submitted on: Apr 30, 2026
Accepted on: Aug 13, 2026
Published on: Aug 31, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2026 Snigdha Sen, Rajib Ahmed, Gerrit C. Arends, Nicola Casali, Alvaro Planchuelo Gomez, Xiaoxiang Chen, Marta Masramon, Christopher S. Parker, Marco Palombo, Chantal M. W. Tax, Eleftheria Panagiotaki, Paddy J. Slator, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.