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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
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 19, 2011
Automatic part selection for groupwise registrationPei Zhang, Timothy F Cootes
IEEE Transactions on Medical Imaging|September 28, 2011
Automatic construction of parts+geometry models for initializing groupwise registrationPei Zhang, Timothy F Cootes
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Automatic learning sparse correspondences for initialising groupwise registrationPei Zhang, Steve A Adeshina, Timothy F Cootes
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
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Initialising groupwise non-rigid registration using multiple parts+geometry modelsPei Zhang, Pew-Thian Yap, Dinggang Shen, et al.
Annals of the Rheumatic Diseases|August 3, 2018
Comparing image analysis approaches versus expert readers: the relation of knee radiograph features to knee painLuca Minciullo, Matthew J Parkes, David T Felson, et al.
IEEE Transactions on Medical Imaging|November 6, 2009
Building 3-D statistical shape models by direct optimizationRhodri H Davies, Carole J Twining, Timothy F Cootes, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Accurate fully automatic femur segmentation in pelvic radiographs using regression votingC Lindner, S Thiagarajah, J M Wilkinson, et al.
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