Exploiting peak anisotropy for tracking through complex structures. - Kiran K. Seunarine; Philip A. Cook; Matt G. Hall; Karl V. Embleton; Geoffrey J. M. Parker; Daniel C. Alexander (ICCV, 2007)

Active Imaging with Dual Spin-Echo Diffusion MRI. - Jonathan D. Clayden; Zoltán Nagy 003; Matt G. Hall; Chris A. Clark; Daniel C. Alexander (IPMI, 2009)

Two-Compartment Models of the Diffusion MR Signal in Brain White Matter. - Eleftheria Panagiotaki; Hubert M. J. Fonteijn; Bernard Siow; Matt G. Hall; Anthony Price; Mark F. Lythgoe; Daniel C. Alexander (MICCAI (1), 2009)

Convergence and Parameter Choice for Monte-Carlo Simulations of Diffusion MRI. - Matt G. Hall; Daniel C. Alexander (IEEE Trans. Medical Imaging, 2009)

High-Fidelity Meshes from Tissue Samples for Diffusion MRI Simulations. - Eleftheria Panagiotaki; Matt G. Hall; Hui Zhang 005; Bernard Siow; Mark F. Lythgoe; Daniel C. Alexander (MICCAI (2), 2010)

Orientationally invariant indices of axon diameter and density from diffusion MRI. - Daniel C. Alexander; Penny L. Hubbard; Matt G. Hall; Elizabeth A. Moore; Maurice Ptito; Geoffrey J. M. Parker; Tim B. Dyrby (NeuroImage, 2010)

Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison. - Eleftheria Panagiotaki; Torben Schneider; Bernard Siow; Matt G. Hall; Mark F. Lythgoe; Daniel C. Alexander (NeuroImage, 2012)

Machine Learning Based Compartment Models with Permeability for White Matter Microstructure Imaging. - Gemma L. Nedjati-Gilani; Torben Schneider; Matt G. Hall; Claudia A. M. Wheeler-Kingshott; Daniel C. Alexander (MICCAI (3), 2014)

Machine learning based compartment models with permeability for white matter microstructure imaging. - Gemma L. Nedjati-Gilani; Torben Schneider; Matt G. Hall; Niamh Cawley; Ioana Hill; Olga Ciccarelli; Ivana Drobnjak; Claudia A. M. Gandini Wheeler-Kingshott; Daniel C. Alexander (NeuroImage, 2017)

Sustainable computational science: the ReScience initiative. - Nicolas P. Rougier; Konrad Hinsen; Frédéric Alexandre; Thomas Arildsen; Lorena A. Barba; Fabien C. Y. Benureau; C. Titus Brown; Pierre de Buyl; Ozan Caglayan; Andrew P. Davison; Marc-André Delsuc; Georgios Detorakis; et al. (PeerJ Comput. Sci., 2017)

Disimpy: A massively parallel Monte Carlo simulator for generating diffusion-weighted MRI data in Python. - Leevi Kerkelä; Fabio Nery; Matt G. Hall; Chris A. Clark (J. Open Source Softw., 2020)

Quasi-diffusion magnetic resonance imaging (QDI): A fast, high b-value diffusion imaging technique. - Thomas R. Barrick; Catherine A. Spilling; Carson Ingo; Jeremy Madigan; Jeremy D. Isaacs; Philip Rich; Timothy L. Jones; Richard L. Magin; Matt G. Hall; Franklyn A. Howe (NeuroImage, 2020)

Comparative analysis of signal models for microscopic fractional anisotropy estimation using q-space trajectory encoding. - Leevi Kerkelä; Fabio Nery; Ross Callaghan; Fenglei Zhou; Noemi G. Gyori; Filip Szczepankiewicz; Marco Palombo; Geoff J. M. Parker; Hui Zhang 005; Matt G. Hall; Chris A. Clark (NeuroImage, 2021)

Musclesense: a Trained, Artificial Neural Network for the Anatomical Segmentation of Lower Limb Magnetic Resonance Images in Neuromuscular Diseases. - Baris Kanber; Jasper M. Morrow; Uros Klickovic; Stephen J. Wastling; Sachit Shah; Pietro Fratta; Amy R. McDowell; Matt G. Hall; Chris A. Clark; Francesco Muntoni; Mary M. Reilly; Michael G. Hanna; et al. (Neuroinformatics, 2021)