An Information Theoretic Approach to Statistical Shape Modelling. - Rhodri H. Davies; Timothy F. Cootes; Carole J. Twining; Christopher J. Taylor 001 (BMVC, 2001)

A Minimum Description Length Approach to Statistical Shape Modelling. - Rhodri H. Davies; Timothy F. Cootes; Christopher J. Taylor 001 (IPMI, 2001)

An Efficient Method for Constructing Optimal Statistical Shape Models. - Rhodri H. Davies; Timothy F. Cootes; John C. Waterton; Christopher J. Taylor 001 (MICCAI, 2001)

3D Statistical Shape Models Using Direct Optimisation of Description Length. - Rhodri H. Davies; Carole J. Twining; Timothy F. Cootes; John C. Waterton; Christopher J. Taylor 001 (ECCV (3), 2002)

Learning to interpret medical images. - Christopher J. Taylor 001; Timothy F. Cootes; Rhodri H. Davies; Carole J. Twining (ISBI, 2002)

A minimum description length approach to statistical shape modeling. - Rhodri H. Davies; Carole J. Twining; Timothy F. Cootes; John C. Waterton; Christopher J. Taylor 001 (IEEE Trans. Medical Imaging, 2002)

Shape Discrimination in the Hippocampus Using an MDL Model. - Rhodri H. Davies; Carole J. Twining; P. Daniel Allen; Timothy F. Cootes; Christopher J. Taylor 001 (IPMI, 2003)

Evaluation of 3D Correspondence Methods for Model Building. - Martin Styner; Kumar T. Rajamani; Lutz-Peter Nolte; Gabriel Zsemlye; Gábor Székely; Christopher J. Taylor 001; Rhodri H. Davies (IPMI, 2003)

Building optimal 2D statistical shape models. - Rhodri H. Davies; Carole J. Twining; P. Daniel Allen; Timothy F. Cootes; Christopher J. Taylor 001 (Image Vis. Comput., 2003)

Corpus callosum analysis using MDL-based sequential models of shape and appearance. - Mikkel B. Stegmann; Rhodri H. Davies; Charlotte Ryberg (Image Processing, 2004)

Consistent spherical parameterisation for statistical shape modelling. - Rhodri H. Davies; Carole J. Twining; Christopher J. Taylor 001 (ISBI, 2006)

Non-parametric Surface-Based Regularisation for Building Statistical Shape Models. - Carole J. Twining; Rhodri H. Davies; Christopher J. Taylor 001 (IPMI, 2007)

Group-Wise Correspondence of Surfaces Using Non-Parametric Regularisation and Shape Images. - Rhodri H. Davies; Carole J. Twining; Tomos G. Williams; Christopher J. Taylor 001 (ISBI, 2007)

Statistical models of shape - optimisation and evaluation. - Rhodri H. Davies; Carole J. Twining; Christopher J. Taylor 001 (Springer, 2008)

Groupwise surface correspondence by optimization: Representation and regularization. - Rhodri H. Davies; Carole J. Twining; Christopher J. Taylor 001 (Medical Image Anal., 2008)

Building 3-D Statistical Shape Models by Direct Optimization. - Rhodri H. Davies; Carole J. Twining; Timothy F. Cootes; Christopher J. Taylor 001 (IEEE Trans. Medical Imaging, 2010)

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 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)

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)

CORE-MD clinical risk score for regulatory evaluation of artificial intelligence-based medical device software. - Frank E. Rademakers; Elisabetta Biasin; Nico Bruining; Enrico G. Caiani; Rhodri H. Davies; Stephen H. Gilbert; Eric Kamenjasevic; Gearóid McGauran; Gearóid O'Connor; Jean-Baptiste Rouffet; Baptiste Vasey; Alan G. Fraser (npj Digit. Medicine, 2025)

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)