SIRF: Synergistic Image Reconstruction Framework. - Evgueni Ovtchinnikov; Richard Brown 004; Christoph Kolbitsch; Edoardo Pasca; Casper O. da Costa-Luis; Ashley Gillman; Benjamin A. Thomas; Nikos Efthimiou; Johannes Mayer; Palak Wadhwa; Matthias J. Ehrhardt; Sam Ellis; et al. (Comput. Phys. Commun., 2020)

Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging. - Pawel J. Markiewicz; Julian C. Matthews; John Ashburner; David M. Cash; David L. Thomas; Enrico De Vita; Anna Barnes; M. Jorge Cardoso; Marc Modat; Richard Brown 004; Kris Thielemans; Casper O. da Costa-Luis; et al. (NeuroImage, 2021)

DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. - Andres Diaz-Pinto; Pritesh Mehta; Sachidanand Alle; Muhammad Asad 001; Richard Brown 004; Vishwesh Nath; Alvin Ihsani; Michela Antonelli; Daniel Palkovics; Csaba Pinter; Ron Alkalay; Steve Pieper 001; et al. (DALI@MICCAI, 2022)

MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

Lazy Resampling: Fast and information preserving preprocessing for deep learning. - Benjamin Murray; Richard Brown 004; Pengcheng Ma; Eric Kerfoot; Daguang Xu; Andrew Feng; Jorge Cardoso 002; Sébastien Ourselin; Marc Modat (Comput. Methods Programs Biomed., 2024)