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Paul A. Bromiley
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2020 – today
- 2023
- [c15]Dónal M. McSweeney, Paul A. Bromiley, Andrew Green, Marcel van Herk, Alan McWilliam:
Fusion Contours as a Source of Segmentation Training Data: A Simulation Study. ISBI 2023: 1-6 - 2021
- [c14]Angela C. Davies, Alan Davies, Hatim Abdulhussein, Frances Hooley, Iliada Eleftheriou, Lamiece Hassan, Paul A. Bromiley, Philip Couch, Catherine Wasiuk, Andy Brass:
Educating the Healthcare Workforce to Support Digital Transformation. MedInfo 2021: 934-936
2010 – 2019
- 2018
- [c13]Paul A. Bromiley, Eleni P. Kariki, Timothy F. Cootes:
Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models. CSI@MICCAI 2018: 53-65 - 2017
- [c12]Paul A. Bromiley, Eleni P. Kariki, Judith E. Adams, Timothy F. Cootes:
Classification of Osteoporotic Vertebral Fractures Using Shape and Appearance Modelling. MSKI@MICCAI 2017: 133-147 - [c11]Luca Minciullo, Paul A. Bromiley, David T. Felson, Timothy F. Cootes:
Indecisive Trees for Classification and Prediction of Knee Osteoarthritis. MLMI@MICCAI 2017: 283-290 - 2016
- [c10]Paul A. Bromiley, Eleni P. Kariki, Judith E. Adams, Timothy F. Cootes:
Fully Automatic Localisation of Vertebrae in CT Images Using Random Forest Regression Voting. CSI@MICCAI 2016: 51-63 - [c9]Paul A. Bromiley, Claudia Lindner, Jessie Thomson, M. Wrigley, Timothy F. Cootes:
Multi-point Regression Voting for Shape Model Matching. MIUA 2016: 48-53 - 2015
- [j4]Claudia Lindner, Paul A. Bromiley, Mircea C. Ionita, Timothy F. Cootes:
Robust and Accurate Shape Model Matching Using Random Forest Regression-Voting. IEEE Trans. Pattern Anal. Mach. Intell. 37(9): 1862-1874 (2015) - [c8]Paul A. Bromiley, Judith E. Adams, Timothy F. Cootes:
Automatic Localisation of Vertebrae in DXA Images Using Random Forest Regression Voting. CSI@MICCAI 2015: 38-51
2000 – 2009
- 2009
- [j3]Marietta L. J. Scott, Paul A. Bromiley, Neil A. Thacker, Charles E. Hutchinson, Alan Jackson:
A fast, model-independent method for cerebral cortical thickness estimation using MRI. Medical Image Anal. 13(2): 269-285 (2009) - 2007
- [c7]Shaobo Hou, Aphrodite Galata, Fabrice Caillette, Neil A. Thacker, Paul A. Bromiley:
Real-time Body Tracking Using a Gaussian Process Latent Variable Model. ICCV 2007: 1-8 - 2004
- [c6]Paul A. Bromiley, Maja Pokric, Neil A. Thacker:
Empirical Evaluation of Covariance Estimates for Mutual Information Coregistration. MICCAI (1) 2004: 607-614 - 2003
- [j2]Paul A. Bromiley, Neil A. Thacker, Marietta L. J. Scott, Maja Pokric, A. J. Lacey, Timothy F. Cootes:
Bayesian and non-Bayesian probabilistic models for medical image analysis. Image Vis. Comput. 21(10): 851-864 (2003) - [c5]Andrew D. Castellano-Smith, William R. Crum, Derek L. G. Hill, Neil A. Thacker, Paul A. Bromiley:
Biomechanical simulation of atrophy in MR images. Image Processing 2003 - 2002
- [j1]Paul A. Bromiley, Neil A. Thacker, Patrick Courtney:
Non-parametric image subtraction using grey level scattergrams. Image Vis. Comput. 20(9-10): 609-617 (2002) - [c4]Neil A. Thacker, A. J. Lacey, Paul A. Bromiley:
Validating MRI Field Homogeneity Correction Using Image Information Measures. BMVC 2002: 1-10 - 2001
- [c3]Paul A. Bromiley, Patrick Courtney, Neil A. Thacker:
A Case Study in the use of ROC curves for Algorithm Design. BMVC 2001: 1-10 - [c2]Paul A. Bromiley, Neil A. Thacker, Patrick Courtney:
Colour Image Segmentation by Non-Parametric Density Estimation in Colour Space. BMVC 2001: 1-10 - 2000
- [c1]Paul A. Bromiley, Neil A. Thacker, Patrick Courtney:
Non-Parametric Image Subtraction using Grey Level Scattergrams. BMVC 2000: 1-10
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