A case report in cardiovascular magnetic resonance: the contrast agent matters in amyloid. - Marianna Fontana; Thomas A. Treibel; Ana Martinez-Naharro; Stefania Rosmini; Raymond Y. Kwong; Julian D. Gillmore; Philip N. Hawkins; James C. Moon (BMC Medical Imaging, 2017)

Improving the generalizability of convolutional neural network-based segmentation on CMR images. - Chen Chen 042; Wenjia Bai; Rhodri H. Davies; Anish N. Bhuva; Charlotte Manisty; James C. Moon; Nay Aung; Aaron M. Lee; Mihir M. Sanghvi; Kenneth Fung; José Miguel Paiva; Steffen E. Petersen; et al. (CoRR, 2019)

Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping using Deep Learning: A study of 15, 000 Patients. - Hui Xue 006; Ethan Tseng; Kristopher D. Knott; Tushar Kotecha; Louise Brown; Sven Plein; Marianna Fontana; James C. Moon; Peter Kellman (CoRR, 2019)

Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning. - Hui Xue 006; Rhodri H. Davies; Louis A. E. Brown; Kristopher D. Knott; Tushar Kotecha; Marianna Fontana; Sven Plein; James C. Moon; Peter Kellman (CoRR, 2019)

Landmark detection in Cardiac Magnetic Resonance Imaging Using A Convolutional Neural Network. - Hui Xue 006; Jessica Artico; Marianna Fontana; James C. Moon; Rhodri H. Davies; Peter Kellman (CoRR, 2020)

A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning. - Wing Keung Cheung; Robert Bell; Arjun Nair; Leon J. Menezes; Riyaz Patel; Simon Wan; Kacy Chou; Jiahang Chen; Ryo Torii; Rhodri H. Davies; James C. Moon; Daniel C. Alexander; et al. (IEEE Access, 2021)

Saturation-pulse prepared heart-rate independent inversion-recovery (SAPPHIRE) biventricular T1 mapping: inter-field strength, head-to-head comparison of diastolic, systolic and dark-blood measurements. - Mashael Alfarih; João B. Augusto; Kristopher D. Knott; Nasri Fatih; M. Praveen Kumar; Redha Boubertakh; Alun D. Hughes; James C. Moon; Sebastian Weingärtner; Gabriella Captur (BMC Medical Imaging, 2022)

A 3D deep learning classifier and its explainability when assessing coronary artery disease. - Wing Keung Cheung; Jeremy Kalindjian; Robert Bell; Arjun Nair; Leon J. Menezes; Riyaz Patel; Simon Wan; Kacy Chou; Jiahang Chen; Ryo Torii; Rhodri H. Davies; James C. Moon; et al. (CoRR, 2023)

An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar. - Daniele M. Papetti; Kirsten van Abeelen; Rhodri H. Davies; Roberto Menè; Francesca Heilbron; Francesco P. Perelli; Jessica Artico; Andreas Seraphim; James C. Moon; Gianfranco Parati; Hui Xue 006; Peter Kellman; et al. (Comput. Methods Programs Biomed., 2023)

SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation. - Hui Xue 006; Sarah M. Hooper; Iain Pierce; Rhodri H. Davies; John Stairs; Joseph Naegele; Adrienne E. Campbell-Washburn; Charlotte Manisty; James C. Moon; Thomas A. Treibel; Peter Kellman; Michael S. Hansen (CoRR, 2025)

CineMA: A Foundation Model for Cine Cardiac MRI. - Yunguan Fu; Weixi Yi; Charlotte Manisty; Anish N. Bhuva; Thomas A. Treibel; James C. Moon; Matthew J. Clarkson; Rhodri H. Davies; Yipeng Hu (CoRR, 2025)