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ORCIDRhodri H. Davies
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2020 – today
- 2023
[j6]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: 107321 (2023)- [i4]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 abs/2308.00009 (2023) - 2021
- [j5]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: 108873-108888 (2021) - 2020
- [i3]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 abs/2008.06142 (2020)
2010 – 2019
- 2019
- [i2]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 abs/1907.01268 (2019) - [i1]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 abs/1911.00625 (2019) - 2010
- [j4]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): 961-981 (2010)
2000 – 2009
- 2008
- [b1]Rhodri H. Davies, Carole J. Twining, Christopher J. Taylor:
Statistical models of shape - optimisation and evaluation. Springer 2008, ISBN 978-1-8480-0137-4, pp. I-XII, 1-302 - [j3]Rhodri H. Davies, Carole J. Twining, Christopher J. Taylor:
Groupwise surface correspondence by optimization: Representation and regularization. Medical Image Anal. 12(6): 787-796 (2008) - 2007
- [c11]Carole J. Twining, Rhodri H. Davies, Christopher J. Taylor:
Non-parametric Surface-Based Regularisation for Building Statistical Shape Models. IPMI 2007: 738-750 - [c10]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: 1208-1211 - 2006
- [c9]Rhodri H. Davies, Carole J. Twining, Christopher J. Taylor:
Consistent spherical parameterisation for statistical shape modelling. ISBI 2006: 1388-1391 - 2004
- [c8]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 - 2003
- [j2]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): 1171-1182 (2003) - [c7]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: 38-50 - [c6]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: 63-75 - 2002
- [j1]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): 525-537 (2002) - [c5]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: 3-20 - [c4]Christopher J. Taylor, Timothy F. Cootes, Rhodri H. Davies, Carole J. Twining:
Learning to interpret medical images. ISBI 2002: 34-37 - 2001
- [c3]Rhodri H. Davies, Timothy F. Cootes, Carole J. Twining, Christopher J. Taylor:
An Information Theoretic Approach to Statistical Shape Modelling. BMVC 2001: 1-10 - [c2]Rhodri H. Davies, Timothy F. Cootes, Christopher J. Taylor:
A Minimum Description Length Approach to Statistical Shape Modelling. IPMI 2001: 50-63 - [c1]Rhodri H. Davies, Timothy F. Cootes, John C. Waterton, Christopher J. Taylor:
An Efficient Method for Constructing Optimal Statistical Shape Models. MICCAI 2001: 57-65
Coauthor Index
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