Contextual Fibre Growth to Generate Realistic Axonal Packing for Diffusion MRI Simulation. - Ross Callaghan; Daniel C. Alexander; Hui Zhang 005; Marco Palombo (IPMI, 2019)

ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation. - Ross Callaghan; Daniel C. Alexander; Marco Palombo; Hui Zhang 005 (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)

POLAFFINI: Efficient Feature-Based Polyaffine Initialization for Improved Non-linear Image Registration. - Antoine Legouhy; Ross Callaghan; Hojjat Azadbakht; Hui Zhang 005 (IPMI, 2023)

Temporal Diffusion Ratio (TDR) for imaging restricted diffusion: Optimisation and pre-clinical demonstration. - William Warner; Marco Palombo; Renata Cruz; Ross Callaghan; Noam Shemesh; Derek K. Jones; Flavio Dell'Acqua; Andrada Ianus; Ivana Drobnjak (NeuroImage, 2023)

Eddeep: Fast Eddy-Current Distortion Correction for Diffusion MRI with Deep Learning. - Antoine Legouhy; Ross Callaghan; Whitney Stee; Philippe Peigneux; Hojjat Azadbakht; Hui Zhang 005 (MICCAI (2), 2024)

NimbleReg: A light-weight deep-learning framework for diffeomorphic image registration. - Antoine Legouhy; Ross Callaghan; Nolah Mazet; Vivien Julienne; Hojjat Azadbakht; Hui Zhang (CoRR, 2025)