Quantification of Articular Cartilage from MR Images Using Active Shape Models. - Stuart Solloway; Christopher J. Taylor 001; Charles E. Hutchinson; John C. Waterton (ECCV (2), 1996)

The Measurement of Focal Diurnal Variation in the Femoral Articular Cartilage of the Knee. - Alan D. Brett; John C. Waterton; Stuart Solloway; John E. Foster; Michael C. Keen; S. Gandy; Brian J. Middleton; Rose A. Maciewicz; Iain Watt; Paul A. Dieppe; Christopher J. Taylor 001 (MICCAI, 1999)

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)

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)

Corresponding Articular Cartilage Thickness Measurements in the Knee Joint by Modelling the Underlying Bone (Commercial in Confidence). - Tomos G. Williams; Christopher J. Taylor 001; ZaiXiang Gao; John C. Waterton (IPMI, 2003)

Corresponding Articular Cartilage Thickness Measurements in the Knee Joint by Modelling the Underlying Bone. - Tomos G. Williams; Christopher J. Taylor 001; ZaiXiang Gao; John C. Waterton (MICCAI (2), 2003)

Longitudinal Measurements of Signal Intensity as a Potential Marker for Cartilage Degeneration in Osteoarthritis. - Josephine H. Naish; Graham Vincent; Mike Bowes; Manish Kothari; David White; John C. Waterton; Christopher J. Taylor 001 (ISBI, 2004)

Population Analysis of Knee Cartilage Thickness Maps using Model Based Correspondence. - Tomos G. Williams; Christopher J. Taylor 001; John C. Waterton; Andrew Holmes (ISBI, 2004)

Improved Regional Analysis of Oxygen-Enhanced Lung MR Imaging Using Image Registration. - Josephine H. Naish; Geoffrey J. M. Parker; Paul C. Beatty; Alan Jackson; John C. Waterton; Simon S. Young; Christopher J. Taylor 001 (MICCAI (1), 2004)

A Method to Monitor Local Changes in MR Signal Intensity in Articular Cartilage: A Potential Marker for Cartilage Degeneration in Osteoarthritis. - Josephine H. Naish; Graham Vincent; Mike Bowes; Manish Kothari; David White; John C. Waterton; Christopher J. Taylor 001 (MICCAI (2), 2004)

Regional quantitative analysis of knee cartilage in a population study using MRI and model based correspondences. - Tomos G. Williams; Andrew Holmes; John C. Waterton; Rose A. Maciewicz; Anthony F. P. Nash; Christopher J. Taylor 001 (ISBI, 2006)

A non-linear registration method for DCE-MRI and DCE-CT comparison in bladder tumors. - Katia M. Passera; Luca T. Mainardi; Deirdre McGrath; Josephine H. Naish; David L. Buckley; Sue Cheung; Yvonne Watson; Angela Caunce; Giovanni A. Buonaccorsi; John P. Logue; Marcus B. Taylor; Christopher J. Taylor 001; et al. (ISBI, 2008)

Automatic segmentation of bones and inter-image anatomical correspondence by volumetric statistical modelling of knee MRI. - Tomos G. Williams; Graham Vincent; Mike Bowes; Timothy F. Cootes; Sharon Balamoody; Charles E. Hutchinson; John C. Waterton; Christopher J. Taylor 001 (ISBI, 2010)

Anatomically Corresponded Regional Analysis of Cartilage in Asymptomatic and Osteoarthritic Knees by Statistical Shape Modelling of the Bone. - Tomos G. Williams; Andrew Holmes; John C. Waterton; Rose A. Maciewicz; Charles E. Hutchinson; Robert J. Moots; Anthony F. P. Nash; Christopher J. Taylor 001 (IEEE Trans. Medical Imaging, 2010)

Acoustic emission sonification and magnetic resonance imaging-based kinematics for exploratory analysis of knee joints. - Lik-Kwan Shark; Kai Huang; Wei Quan; John C. Waterton; Michael A. Bowes; John Goodacre (BIBM, 2016)

Discovering Associations Between Acoustic Emission and Magnetic Resonance Imaging Biomarkers From 10 Osteoarthritic Knees. - Lik-Kwan Shark; Wei Quan; Michael A. Bowes; John C. Waterton; John Goodacre (IEEE Trans. Biomed. Eng., 2022)