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M G Roberts
T F Cootes
J E Adams

Showing results (1-10 of 295) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 12, 2006
Vertebral shape: automatic measurement with dynamically sequenced active appearance modelsM G Roberts, T F Cootes, J E Adams
Osteoporosis International : a Journal Established As Result of Cooperation Between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA|February 6, 2010
Detection of vertebral fractures in DXA VFA images using statistical models of appearance and a semi-automatic segmentationM G Roberts, E M B Pacheco, R Mohankumar, et al.
Osteoporosis International : a Journal Established As Result of Cooperation Between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA|March 25, 2011
Semi-automatic determination of detailed vertebral shape from lumbar radiographs using active appearance modelsM G Roberts, T Oh, E M B Pacheco, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Automatic location of vertebrae on DXA images using random forest regressionM G Roberts, Timothy F Cootes, J E Adams
The British Journal of Radiology|January 29, 2005
Anatomical statistical models and their role in feature extractionT F Cootes, C J Taylor
Bone|January 21, 2014
Increasing shape modelling accuracy by adjusting for subject positioning: an application to the analysis of radiographic proximal femur symmetry using data from the Osteoarthritis InitiativeC Lindner, G A Wallis, T F Cootes
Information Processing in Medical Imaging : Proceedings of the ... Conference|September 4, 2004
Improving appearance model matching using local image structureI M Scott, T F Cootes, C J Taylor
Medical Informatics = Medecine Et Informatique|January 1, 1994
Medical image interpretation: a generic approach using deformable templatesA Hill, T F Cootes, C J Taylor, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 16, 2007
Comparing the similarity of statistical shape models using the Bhattacharya metricK O Babalola, T F Cootes, B Patenaude, et al.
IEEE Transactions on Medical Imaging|April 18, 2013
Fully automatic segmentation of the proximal femur using random forest regression votingC Lindner, S Thiagarajah, J M Wilkinson, et al.
Pageof 30

Showing results (1-10 of 295) with videos related to

Sort By:
Pageof 30
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 12, 2006
Vertebral shape: automatic measurement with dynamically sequenced active appearance modelsM G Roberts, T F Cootes, J E Adams
Osteoporosis International : a Journal Established As Result of Cooperation Between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA|February 6, 2010
Detection of vertebral fractures in DXA VFA images using statistical models of appearance and a semi-automatic segmentationM G Roberts, E M B Pacheco, R Mohankumar, et al.
Osteoporosis International : a Journal Established As Result of Cooperation Between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA|March 25, 2011
Semi-automatic determination of detailed vertebral shape from lumbar radiographs using active appearance modelsM G Roberts, T Oh, E M B Pacheco, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Automatic location of vertebrae on DXA images using random forest regressionM G Roberts, Timothy F Cootes, J E Adams
The British Journal of Radiology|January 29, 2005
Anatomical statistical models and their role in feature extractionT F Cootes, C J Taylor
Bone|January 21, 2014
Increasing shape modelling accuracy by adjusting for subject positioning: an application to the analysis of radiographic proximal femur symmetry using data from the Osteoarthritis InitiativeC Lindner, G A Wallis, T F Cootes
Information Processing in Medical Imaging : Proceedings of the ... Conference|September 4, 2004
Improving appearance model matching using local image structureI M Scott, T F Cootes, C J Taylor
Medical Informatics = Medecine Et Informatique|January 1, 1994
Medical image interpretation: a generic approach using deformable templatesA Hill, T F Cootes, C J Taylor, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 16, 2007
Comparing the similarity of statistical shape models using the Bhattacharya metricK O Babalola, T F Cootes, B Patenaude, et al.
IEEE Transactions on Medical Imaging|April 18, 2013
Fully automatic segmentation of the proximal femur using random forest regression votingC Lindner, S Thiagarajah, J M Wilkinson, et al.
Pageof 30