John C. Waterton - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 17 from 17

2022

Discovering Associations Between Acoustic Emission and Magnetic Resonance Imaging Biomarkers From 10 Osteoarthritic KneesLik-Kwan Shark, Wei Quan, Michael A. Bowes, John C. Waterton, John Goodacre. tbe, 69(11):3494-3503, 2022. [doi]

2016

Acoustic emission sonification and magnetic resonance imaging-based kinematics for exploratory analysis of knee jointsLik-Kwan Shark, Kai Huang, Wei Quan, John C. Waterton, Michael A. Bowes, John Goodacre. bibm 2016: 1016-1022 [doi]

2010

2008

A non-linear registration method for DCE-MRI and DCE-CT comparison in bladder tumorsKatia 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, John C. Waterton, Helen Young, Geoffrey J. M. Parker. isbi 2008: 1095-1098 [doi]

2006

Regional quantitative analysis of knee cartilage in a population study using MRI and model based correspondencesTomos G. Williams, Andrew Holmes, John C. Waterton, Rose A. Maciewicz, Anthony F. P. Nash, Christopher J. Taylor. isbi 2006: 311-314 [doi]

2004

Improved Regional Analysis of Oxygen-Enhanced Lung MR Imaging Using Image RegistrationJosephine H. Naish, Geoffrey J. M. Parker, Paul C. Beatty, Alan Jackson, John C. Waterton, Simon S. Young, Christopher J. Taylor. miccai 2004: 862-869 [doi]

Longitudinal Measurements of Signal Intensity as a Potential Marker for Cartilage Degeneration in OsteoarthritisJosephine H. Naish, Graham Vincent, Mike Bowes, Manish Kothari, David White, John C. Waterton, Christopher J. Taylor. isbi 2004: 205-208

A Method to Monitor Local Changes in MR Signal Intensity in Articular Cartilage: A Potential Marker for Cartilage Degeneration in OsteoarthritisJosephine H. Naish, Graham Vincent, Mike Bowes, Manish Kothari, David White, John C. Waterton, Christopher J. Taylor. miccai 2004: 959-966 [doi]

Population Analysis of Knee Cartilage Thickness Maps using Model Based CorrespondenceTomos G. Williams, Christopher J. Taylor, John C. Waterton, Andrew Holmes. isbi 2004: 193-196

2003

Corresponding Articular Cartilage Thickness Measurements in the Knee Joint by Modelling the Underlying BoneTomos G. Williams, Christopher J. Taylor, ZaiXiang Gao, John C. Waterton. miccai 2003: 480-487 [doi]

Corresponding Articular Cartilage Thickness Measurements in the Knee Joint by Modelling the Underlying Bone (Commercial in Confidence)Tomos G. Williams, Christopher J. Taylor, ZaiXiang Gao, John C. Waterton. ipmi 2003: 126-135 [doi]

2002

3D Statistical Shape Models Using Direct Optimisation of Description LengthRhodri H. Davies, Carole J. Twining, Timothy F. Cootes, John C. Waterton, Christopher J. Taylor. eccv 2002: 3-20 [doi]

A minimum description length approach to statistical shape modelingRhodri H. Davies, Carole J. Twining, Timothy F. Cootes, John C. Waterton, Christopher J. Taylor. tmi, 21(5):525-537, 2002.

2001

An Efficient Method for Constructing Optimal Statistical Shape ModelsRhodri H. Davies, Timothy F. Cootes, John C. Waterton, Christopher J. Taylor. miccai 2001: 57-65 [doi]

1999

The Measurement of Focal Diurnal Variation in the Femoral Articular Cartilage of the KneeAlan D. Brett, John C. Waterton, Stuart Solloway, J. E. Foster, M. C. Keen, S. Gandy, B. J. Middleton, Rose A. Maciewicz, I. Watt, P. A. Dieppe, Christopher J. Taylor. miccai 1999: 328-337

1996

Quantification of Articular Cartilage from MR Images Using Active Shape ModelsStuart Solloway, Christopher J. Taylor, Charles E. Hutchinson, John C. Waterton. eccv 1996: 400-411

Sign in or sign up to see more results.

runs on WebDSL