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William M Wells

Showing results (11-20 of 123) 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|July 1, 2017
Low-Dimensional Statistics of Anatomical Variability via Compact Representation of Image DeformationsMiaomiao Zhang, William M Wells, Polina Golland
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Estimation of delivered dose in radiotherapy: the influence of registration uncertaintyPetter Risholm, James Balter, William M Wells
Information Processing in Medical Imaging : Proceedings of the ... Conference|September 4, 2004
A unified statistical and information theoretic framework for multi-modal image registrationLilla Zöllei, John W Fisher, William M Wells
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 19, 2007
Active mean fields: solving the mean field approximation in the level set frameworkKilian M Pohl, Ron Kikinis, William M Wells
Information Processing in Medical Imaging : Proceedings of the ... Conference|April 2, 2014
Preface. Information processing in medical imagingWilliam M Wells, Sarang Joshi, Kilian M Pohl
IEEE Transactions on Medical Imaging|December 30, 2021
Deep Diffusion MRI Registration (DDMReg): A Deep Learning Method for Diffusion MRI RegistrationFan Zhang, William M Wells, Lauren J O'Donnell
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 29, 2019
Efficient Laplace Approximation for Bayesian Registration Uncertainty QuantificationJian Wang, William M Wells, Polina Golland, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Summarizing and visualizing uncertainty in non-rigid registrationPetter Risholm, Steve Pieper, Eigil Samset, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|April 15, 2008
Validation of image segmentation by estimating rater bias and varianceSimon K Warfield, Kelly H Zou, William M Wells
IEEE Transactions on Medical Imaging|July 15, 2004
Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentationSimon K Warfield, Kelly H Zou, William M Wells
Pageof 13

Showing results (11-20 of 123) with videos related to

Sort By:
Pageof 13
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|July 1, 2017
Low-Dimensional Statistics of Anatomical Variability via Compact Representation of Image DeformationsMiaomiao Zhang, William M Wells, Polina Golland
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Estimation of delivered dose in radiotherapy: the influence of registration uncertaintyPetter Risholm, James Balter, William M Wells
Information Processing in Medical Imaging : Proceedings of the ... Conference|September 4, 2004
A unified statistical and information theoretic framework for multi-modal image registrationLilla Zöllei, John W Fisher, William M Wells
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 19, 2007
Active mean fields: solving the mean field approximation in the level set frameworkKilian M Pohl, Ron Kikinis, William M Wells
Information Processing in Medical Imaging : Proceedings of the ... Conference|April 2, 2014
Preface. Information processing in medical imagingWilliam M Wells, Sarang Joshi, Kilian M Pohl
IEEE Transactions on Medical Imaging|December 30, 2021
Deep Diffusion MRI Registration (DDMReg): A Deep Learning Method for Diffusion MRI RegistrationFan Zhang, William M Wells, Lauren J O'Donnell
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 29, 2019
Efficient Laplace Approximation for Bayesian Registration Uncertainty QuantificationJian Wang, William M Wells, Polina Golland, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Summarizing and visualizing uncertainty in non-rigid registrationPetter Risholm, Steve Pieper, Eigil Samset, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|April 15, 2008
Validation of image segmentation by estimating rater bias and varianceSimon K Warfield, Kelly H Zou, William M Wells
IEEE Transactions on Medical Imaging|July 15, 2004
Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentationSimon K Warfield, Kelly H Zou, William M Wells
Pageof 13