Paul A. Bromiley

19 papers A* 1A 4B 1Journal 4Unranked 9
YearRankTypeTitle / Venue / Authors
2023 — conf
Fusion Contours as a Source of Segmentation Training Data: A Simulation Study.
ISBI
Dónal M. McSweeney, Paul A. Bromiley, Andrew Green, Marcel van Herk, Alan McWilliam
2021 — conf
Educating the Healthcare Workforce to Support Digital Transformation.
MedInfo
Angela C. Davies, Alan Davies, Hatim Abdulhussein, Frances Hooley, Iliada Eleftheriou, Lamiece Hassan, Paul A. Bromiley, Philip Couch, Catherine Wasiuk, Andy Brass
2018 — conf
Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models.
CSI@MICCAI
Paul A. Bromiley, Eleni P. Kariki, Timothy F. Cootes
2017 — conf
Classification of Osteoporotic Vertebral Fractures Using Shape and Appearance Modelling.
MSKI@MICCAI
Paul A. Bromiley, Eleni P. Kariki, Judith E. Adams, Timothy F. Cootes
2017 — conf
Indecisive Trees for Classification and Prediction of Knee Osteoarthritis.
MLMI@MICCAI
Luca Minciullo, Paul A. Bromiley, David T. Felson, Timothy F. Cootes
2016 — conf
Fully Automatic Localisation of Vertebrae in CT Images Using Random Forest Regression Voting.
CSI@MICCAI
Paul A. Bromiley, Eleni P. Kariki, Judith E. Adams, Timothy F. Cootes
2016 — conf
Multi-point Regression Voting for Shape Model Matching.
MIUA
Paul A. Bromiley, Claudia Lindner, Jessie Thomson, M. Wrigley, Timothy F. Cootes
2015 — conf
Automatic Localisation of Vertebrae in DXA Images Using Random Forest Regression Voting.
CSI@MICCAI
Paul A. Bromiley, Judith E. Adams, Timothy F. Cootes
2015 J jnl
Robust and Accurate Shape Model Matching Using Random Forest Regression-Voting.
IEEE Trans. Pattern Anal. Mach. Intell.
Claudia Lindner, Paul A. Bromiley, Mircea C. Ionita, Timothy F. Cootes
2009 J jnl
A fast, model-independent method for cerebral cortical thickness estimation using MRI.
Medical Image Anal.
Marietta L. J. Scott, Paul A. Bromiley, Neil A. Thacker, Charles E. Hutchinson, Alan Jackson
2007 A* conf
Real-time Body Tracking Using a Gaussian Process Latent Variable Model.
ICCV
Shaobo Hou, Aphrodite Galata, Fabrice Caillette, Neil A. Thacker, Paul A. Bromiley
2004 — conf
Empirical Evaluation of Covariance Estimates for Mutual Information Coregistration.
MICCAI (1)
Paul A. Bromiley, Maja Pokric, Neil A. Thacker
2003 J jnl
Bayesian and non-Bayesian probabilistic models for medical image analysis.
Image Vis. Comput.
Paul A. Bromiley, Neil A. Thacker, Marietta L. J. Scott, Maja Pokric, A. J. Lacey, Timothy F. Cootes
2003 B conf
Biomechanical simulation of atrophy in MR images.
Image Processing
Andrew D. Castellano-Smith, William R. Crum, Derek L. G. Hill, Neil A. Thacker, Paul A. Bromiley
2002 J jnl
Non-parametric image subtraction using grey level scattergrams.
Image Vis. Comput.
Paul A. Bromiley, Neil A. Thacker, Patrick Courtney
2002 A conf
Validating MRI Field Homogeneity Correction Using Image Information Measures.
BMVC
Neil A. Thacker, A. J. Lacey, Paul A. Bromiley
2001 A conf
A Case Study in the use of ROC curves for Algorithm Design.
BMVC
Paul A. Bromiley, Patrick Courtney, Neil A. Thacker
2001 A conf
Colour Image Segmentation by Non-Parametric Density Estimation in Colour Space.
BMVC
Paul A. Bromiley, Neil A. Thacker, Patrick Courtney
2000 A conf
Non-Parametric Image Subtraction using Grey Level Scattergrams.
BMVC
Paul A. Bromiley, Neil A. Thacker, Patrick Courtney