Paul A. Bromiley - researchr alias

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Viewing Publication 1 - 19 from 19

2023

Fusion Contours as a Source of Segmentation Training Data: A Simulation StudyDónal M. McSweeney, Paul A. Bromiley, Andrew Green 0001, Marcel van Herk, Alan McWilliam. isbi 2023: 1-6 [doi]

2021

Educating the Healthcare Workforce to Support Digital TransformationAngela C. Davies, Alan Davies, Hatim Abdulhussein, Frances Hooley, Iliada Eleftheriou, Lamiece Hassan, Paul A. Bromiley, Philip Couch, Catherine Wasiuk, Andy Brass. medinfo 2022: 934-936 [doi]

2018

Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-modelsPaul A. Bromiley, Eleni P. Kariki, Timothy F. Cootes. miccai 2019: 53-65 [doi]

2017

Classification of Osteoporotic Vertebral Fractures Using Shape and Appearance ModellingPaul A. Bromiley, Eleni P. Kariki, Judith E. Adams, Timothy F. Cootes. miccai 2018: 133-147 [doi]

Indecisive Trees for Classification and Prediction of Knee OsteoarthritisLuca Minciullo, Paul A. Bromiley, David T. Felson, Timothy F. Cootes. miccai 2017: 283-290 [doi]

2016

Fully Automatic Localisation of Vertebrae in CT Images Using Random Forest Regression VotingPaul A. Bromiley, Eleni P. Kariki, Judith E. Adams, Timothy F. Cootes. miccai 2016: 51-63 [doi]

Multi-point Regression Voting for Shape Model MatchingPaul A. Bromiley, Claudia Lindner, Jessie Thomson, M. Wrigley, Timothy F. Cootes. miua 2016: 48-53 [doi]

2015

Automatic Localisation of Vertebrae in DXA Images Using Random Forest Regression VotingPaul A. Bromiley, Judith E. Adams, Timothy F. Cootes. miccai 2016: 38-51 [doi]

Robust and Accurate Shape Model Matching Using Random Forest Regression-VotingClaudia Lindner, Paul A. Bromiley, Mircea C. Ionita, Timothy F. Cootes. pami, 37(9):1862-1874, 2015. [doi]

2009

A fast, model-independent method for cerebral cortical thickness estimation using MRIMarietta L. J. Scott, Paul A. Bromiley, Neil A. Thacker, C. E. Hutchinson, Alan Jackson. mia, 13(2):269-285, 2009. [doi]

2007

Real-time Body Tracking Using a Gaussian Process Latent Variable ModelShaobo Hou, Aphrodite Galata, Fabrice Caillette, Neil A. Thacker, Paul A. Bromiley. iccv 2007: 1-8 [doi]

2004

Empirical Evaluation of Covariance Estimates for Mutual Information CoregistrationPaul A. Bromiley, Maja Pokric, Neil A. Thacker. miccai 2004: 607-614 [doi]

2003

Bayesian and non-Bayesian probabilistic models for medical image analysisPaul A. Bromiley, Neil A. Thacker, Marietta L. J. Scott, Maja Pokric, A. J. Lacey, Timothy F. Cootes. ivc, 21(10):851-864, 2003. [doi]

Biomechanical simulation of atrophy in MR imagesAndrew D. Castellano Smith, William R. Crum, Derek L. G. Hill, Neil A. Thacker, Paul A. Bromiley. miip 2003: [doi]

2002

Non-parametric image subtraction using grey level scattergramsPaul A. Bromiley, Neil A. Thacker, Patrick Courtney. ivc, 20(9-10):609-617, 2002. [doi]

Validating MRI Field Homogeneity Correction Using Image Information MeasuresNeil A. Thacker, A. J. Lacey, Paul A. Bromiley. bmvc 2002: 1-10 [doi]

2001

Colour Image Segmentation by Non-Parametric Density Estimation in Colour SpacePaul A. Bromiley, Neil A. Thacker, Patrick Courtney. bmvc 2001: 1-10 [doi]

A Case Study in the use of ROC curves for Algorithm DesignPaul A. Bromiley, Patrick Courtney, Neil A. Thacker. bmvc 2001: 1-10 [doi]

2000

Non-Parametric Image Subtraction using Grey Level ScattergramsPaul A. Bromiley, Neil A. Thacker, Patrick Courtney. bmvc 2000: 1-10 [doi]

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