Rhodri H. Davies

According to our database, Rhodri H. Davies authored at least 22 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Peter Kellman, Luigi P. Badano, Daniela Besozzi, Marco S. Nobile, Camilla Torlasco

Comput. Methods Programs Biomed., February, 2023

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, Daniel C. Alexander, Joseph Jacob

CoRR, 2023

2021

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, Joseph Jacob

IEEE Access, 2021

2020

Landmark detection in Cardiac Magnetic Resonance Imaging Using A Convolutional Neural Network.

Hui Xue, Jessica Artico, Marianna Fontana, James C. Moon, Rhodri H. Davies, Peter Kellman

CoRR, 2020

2019

Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning.

Hui Xue, Rhodri H. Davies, Louis A. E. Brown, Kristopher D. Knott, Tushar Kotecha, Marianna Fontana, Sven Plein, James C. Moon, Peter Kellman

CoRR, 2019

Improving the generalizability of convolutional neural network-based segmentation on CMR images.

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

CoRR, 2019

2010

Building 3-D Statistical Shape Models by Direct Optimization.

Rhodri H. Davies, Carole J. Twining, Timothy F. Cootes, Christopher J. Taylor

IEEE Trans. Medical Imaging, 2010

2008

Groupwise surface correspondence by optimization: Representation and regularization.

Rhodri H. Davies, Carole J. Twining, Christopher J. Taylor

Medical Image Anal., 2008

Statistical models of shape - optimisation and evaluation.

Rhodri H. Davies, Carole J. Twining, Christopher J. Taylor

Springer, ISBN: 978-1-8480-0137-4, 2008

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

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Non-parametric Surface-Based Regularisation for Building Statistical Shape Models.

Carole J. Twining, Rhodri H. Davies, Christopher J. Taylor

Proceedings of the Information Processing in Medical Imaging, 2007

2006

Consistent spherical parameterisation for statistical shape modelling.

Rhodri H. Davies, Carole J. Twining, Christopher J. Taylor

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2004

Corpus callosum analysis using MDL-based sequential models of shape and appearance.

Mikkel B. Stegmann, Rhodri H. Davies, Charlotte Ryberg

Proceedings of the Medical Imaging 2004: Image Processing, 2004

2003

Building optimal 2D statistical shape models.

Rhodri H. Davies, Carole J. Twining, P. Daniel Allen, Timothy F. Cootes, Christopher J. Taylor

Image Vis. Comput., 2003

Evaluation of 3D Correspondence Methods for Model Building.

Martin Styner, Kumar T. Rajamani, Lutz-Peter Nolte, Gabriel Zsemlye, Gábor Székely, Christopher J. Taylor, Rhodri H. Davies

Proceedings of the Information Processing in Medical Imaging, 2003

Shape Discrimination in the Hippocampus Using an MDL Model.

Rhodri H. Davies, Carole J. Twining, P. Daniel Allen, Timothy F. Cootes, Christopher J. Taylor

Proceedings of the Information Processing in Medical Imaging, 2003

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

IEEE Trans. Medical Imaging, 2002

Learning to interpret medical images.

Christopher J. Taylor, Timothy F. Cootes, Rhodri H. Davies, Carole J. Twining

Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

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

Proceedings of the Computer Vision, 2002

2001

An Efficient Method for Constructing Optimal Statistical Shape Models.

Rhodri H. Davies, Timothy F. Cootes, John C. Waterton, Christopher J. Taylor

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

A Minimum Description Length Approach to Statistical Shape Modelling.

Rhodri H. Davies, Timothy F. Cootes, Christopher J. Taylor

Proceedings of the Information Processing in Medical Imaging, 2001

An Information Theoretic Approach to Statistical Shape Modelling.

Rhodri H. Davies, Timothy F. Cootes, Carole J. Twining, Christopher J. Taylor

Proceedings of the British Machine Vision Conference 2001, 2001