Rhodri H. Davies

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 6

Top Topics

Coronary Artery Disease

Convolutional Neural Network

Automated Segmentation

Top Venues

Comput. Methods Programs Biomed.

Publications

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
A 3D deep learning classifier and its explainability when assessing coronary artery disease. CoRR (2023)
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
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. 229 (2023)
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
A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning. IEEE Access 9 (2021)
Hui Xue, Jessica Artico, Marianna Fontana, James C. Moon, Rhodri H. Davies, Peter Kellman
Landmark detection in Cardiac Magnetic Resonance Imaging Using A Convolutional Neural Network. CoRR (2020)
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
Improving the generalizability of convolutional neural network-based segmentation on CMR images. CoRR (2019)
Hui Xue, Rhodri H. Davies, Louis A. E. Brown, Kristopher D. Knott, Tushar Kotecha, Marianna Fontana, Sven Plein, James C. Moon, Peter Kellman
Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning. CoRR (2019)
Rhodri H. Davies, Carole J. Twining, Timothy F. Cootes, Christopher J. Taylor
Building 3-D Statistical Shape Models by Direct Optimization. IEEE Trans. Medical Imaging 29 (4) (2010)
Rhodri H. Davies, Carole J. Twining, Christopher J. Taylor
Groupwise surface correspondence by optimization: Representation and regularization. Medical Image Anal. 12 (6) (2008)
Rhodri H. Davies, Carole J. Twining, Tomos G. Williams, Christopher J. Taylor
Group-Wise Correspondence of Surfaces Using Non-Parametric Regularisation and Shape Images. ISBI (2007)
Carole J. Twining, Rhodri H. Davies, Christopher J. Taylor
Non-parametric Surface-Based Regularisation for Building Statistical Shape Models. IPMI (2007)
Rhodri H. Davies, Carole J. Twining, Christopher J. Taylor
Consistent spherical parameterisation for statistical shape modelling. ISBI (2006)
Mikkel B. Stegmann, Rhodri H. Davies, Charlotte Ryberg
Corpus callosum analysis using MDL-based sequential models of shape and appearance. Medical Imaging: Image Processing (2004)
Martin Styner, Kumar T. Rajamani, Lutz-Peter Nolte, Gabriel Zsemlye, Gábor Székely, Christopher J. Taylor, Rhodri H. Davies
Evaluation of 3D Correspondence Methods for Model Building. IPMI (2003)
Rhodri H. Davies, Carole J. Twining, P. Daniel Allen, Timothy F. Cootes, Christopher J. Taylor
Building optimal 2D statistical shape models. Image Vis. Comput. 21 (13-14) (2003)
Rhodri H. Davies, Carole J. Twining, P. Daniel Allen, Timothy F. Cootes, Christopher J. Taylor
Shape Discrimination in the Hippocampus Using an MDL Model. IPMI (2003)
Christopher J. Taylor, Timothy F. Cootes, Rhodri H. Davies, Carole J. Twining
Learning to interpret medical images. ISBI (2002)
Rhodri H. Davies, Carole J. Twining, Timothy F. Cootes, John C. Waterton, Christopher J. Taylor
A minimum description length approach to statistical shape modeling. IEEE Trans. Medical Imaging 21 (5) (2002)
Rhodri H. Davies, Carole J. Twining, Timothy F. Cootes, John C. Waterton, Christopher J. Taylor
3D Statistical Shape Models Using Direct Optimisation of Description Length. ECCV (3) (2002)
Rhodri H. Davies, Timothy F. Cootes, Carole J. Twining, Christopher J. Taylor
An Information Theoretic Approach to Statistical Shape Modelling. BMVC (2001)
Rhodri H. Davies, Timothy F. Cootes, Christopher J. Taylor
A Minimum Description Length Approach to Statistical Shape Modelling. IPMI (2001)
Rhodri H. Davies, Timothy F. Cootes, John C. Waterton, Christopher J. Taylor
An Efficient Method for Constructing Optimal Statistical Shape Models. MICCAI (2001)