Rhodri H. Davies

28 papers A 2B 1Journal 15Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Flow Matching-enabled Test-Time Refinement for Unsupervised Cardiac MR Registration. CoRR Yunguan Fu, Wenjia Bai, Wen Yan, Matthew J. Clarkson, Rhodri H. Davies, Yipeng Hu
2025	—	`conf`	Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications. MICCAI (4) Yucheng Tang, Yunguan Fu, Weixi Yi, Yipei Wang, Daniel C. Alexander, Rhodri H. Davies, Yipeng Hu
2025	J	`jnl`	Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications. CoRR Yucheng Tang, Yunguan Fu, Weixi Yi, Yipei Wang, Daniel C. Alexander, Rhodri H. Davies, Yipeng Hu
2025	J	`jnl`	CORE-MD clinical risk score for regulatory evaluation of artificial intelligence-based medical device software. npj Digit. Medicine 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
2025	J	`jnl`	CineMA: A Foundation Model for Cine Cardiac MRI. CoRR Yunguan Fu, Weixi Yi, Charlotte Manisty, Anish N. Bhuva, Thomas A. Treibel, James C. Moon, Matthew J. Clarkson, Rhodri H. Davies, Yipeng Hu
2025	J	`jnl`	SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation. CoRR Hui Xue, 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
2023	J	`jnl`	A 3D deep learning classifier and its explainability when assessing coronary artery disease. CoRR 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, Daniel C. Alexander, Joseph Jacob
2023	J	`jnl`	An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar. Comput. Methods Programs Biomed. 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, Peter Kellman, Luigi P. Badano, Daniela Besozzi, Marco S. Nobile, Camilla Torlasco
2021	J	`jnl`	A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning. IEEE Access 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, Joseph Jacob
2020	J	`jnl`	Landmark detection in Cardiac Magnetic Resonance Imaging Using A Convolutional Neural Network. CoRR Hui Xue, Jessica Artico, Marianna Fontana, James C. Moon, Rhodri H. Davies, Peter Kellman
2019	J	`jnl`	Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning. CoRR Hui Xue, Rhodri H. Davies, Louis A. E. Brown, Kristopher D. Knott, Tushar Kotecha, Marianna Fontana, Sven Plein, James C. Moon, Peter Kellman
2019	J	`jnl`	Improving the generalizability of convolutional neural network-based segmentation on CMR images. CoRR Chen Chen, 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, Elena Lukaschuk, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
2010	J	`jnl`	Building 3-D Statistical Shape Models by Direct Optimization. IEEE Trans. Medical Imaging Rhodri H. Davies, Carole J. Twining, Timothy F. Cootes, Christopher J. Taylor
2008	J	`jnl`	Groupwise surface correspondence by optimization: Representation and regularization. Medical Image Anal. Rhodri H. Davies, Carole J. Twining, Christopher J. Taylor
2008	—	`book`	Statistical models of shape - optimisation and evaluation. Rhodri H. Davies, Carole J. Twining, Christopher J. Taylor
2007	—	`conf`	Group-Wise Correspondence of Surfaces Using Non-Parametric Regularisation and Shape Images. ISBI Rhodri H. Davies, Carole J. Twining, Tomos G. Williams, Christopher J. Taylor
2007	—	`conf`	Non-parametric Surface-Based Regularisation for Building Statistical Shape Models. IPMI Carole J. Twining, Rhodri H. Davies, Christopher J. Taylor
2006	—	`conf`	Consistent spherical parameterisation for statistical shape modelling. ISBI Rhodri H. Davies, Carole J. Twining, Christopher J. Taylor
2004	B	`conf`	Corpus callosum analysis using MDL-based sequential models of shape and appearance. Image Processing Mikkel B. Stegmann, Rhodri H. Davies, Charlotte Ryberg
2003	J	`jnl`	Building optimal 2D statistical shape models. Image Vis. Comput. Rhodri H. Davies, Carole J. Twining, P. Daniel Allen, Timothy F. Cootes, Christopher J. Taylor
2003	—	`conf`	Evaluation of 3D Correspondence Methods for Model Building. IPMI Martin Styner, Kumar T. Rajamani, Lutz-Peter Nolte, Gabriel Zsemlye, Gábor Székely, Christopher J. Taylor, Rhodri H. Davies
2003	—	`conf`	Shape Discrimination in the Hippocampus Using an MDL Model. IPMI Rhodri H. Davies, Carole J. Twining, P. Daniel Allen, Timothy F. Cootes, Christopher J. Taylor
2002	—	`conf`	3D Statistical Shape Models Using Direct Optimisation of Description Length. ECCV (3) Rhodri H. Davies, Carole J. Twining, Timothy F. Cootes, John C. Waterton, Christopher J. Taylor
2002	J	`jnl`	A minimum description length approach to statistical shape modeling. IEEE Trans. Medical Imaging Rhodri H. Davies, Carole J. Twining, Timothy F. Cootes, John C. Waterton, Christopher J. Taylor
2002	—	`conf`	Learning to interpret medical images. ISBI Christopher J. Taylor, Timothy F. Cootes, Rhodri H. Davies, Carole J. Twining
2001	—	`conf`	A Minimum Description Length Approach to Statistical Shape Modelling. IPMI Rhodri H. Davies, Timothy F. Cootes, Christopher J. Taylor
2001	A	`conf`	An Efficient Method for Constructing Optimal Statistical Shape Models. MICCAI Rhodri H. Davies, Timothy F. Cootes, John C. Waterton, Christopher J. Taylor
2001	A	`conf`	An Information Theoretic Approach to Statistical Shape Modelling. BMVC Rhodri H. Davies, Timothy F. Cootes, Carole J. Twining, Christopher J. Taylor