Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss - Jiahua Li; James T. Grist; Fergus V. Gleeson; Bartlomiej W. Papiez (Medical Image Understanding and Analysis - 28th Annual Conference, MIUA 2024, Manchester, UK, July 24-26, 2024, Proceedings, Part II, 2024)

Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss - Jiahua Li; James T. Grist; Fergus V. Gleeson; Bartlomiej W. Papiez (CoRR, 2024)

Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey - Andronicus Ayobami Akinyelu; Fulvio Zaccagna; James T. Grist; Mauro Castelli; Leonardo Rundo (J. Imaging, 2022)

Frequency drift in MR spectroscopy at 3T - Steve C. N. Hui; Mark Mikkelsen; Helge J. Zöllner; Vishwadeep Ahluwalia; Sarael Alcauter; Laima Baltusis; Deborah A. Barany; Laura R. Barlow; Robert Becker; Jeffrey I. Berman; Adam Berrington; Pallab K. Bhattacharyya; et al. (NeuroImage, 2021)

Quantifying normal human brain metabolism using hyperpolarized [1-\(^13\)C]pyruvate and magnetic resonance imaging - James T. Grist; Mary A. McLean; Frank Riemer; Rolf F. Schulte; Surrin S. Deen; Fulvio Zaccagna; Ramona Woitek; Charlie J. Daniels; Joshua D. Kaggie; Tomasz Matys; Ilse Patterson; Rhys Slough; et al. (NeuroImage, 2019)