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Roland Kwitt

Showing results (1-10 of 33) with videos related to

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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 18, 2009
Lightweight probabilistic texture retrievalRoland Kwitt, Andreas Uhl
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 12, 2010
Lightweight detection of additive watermarking in the DWT-domainRoland Kwitt, Peter Meerwald, Andreas Uhl
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 1, 2011
Efficient texture image retrieval using copulas in a Bayesian frameworkRoland Kwitt, Peter Meerwald, Andreas Uhl
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|June 12, 2020
Metric Learning for Image RegistrationMarc Niethammer, Roland Kwitt, François-Xavier Vialard
Scientific Reports|July 20, 2018
Compressing Networks with Super NodesNatalie Stanley, Roland Kwitt, Marc Niethammer, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Recognition in ultrasound videos: where am I?Roland Kwitt, Nuno Vasconcelos, Sharif Razzaque, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 9, 2014
Time-warped geodesic regressionYi Hong, Nikhil Singh, Roland Kwitt, et al.
Neuroimage|July 15, 2017
Quicksilver: Fast predictive image registration - A deep learning approachXiao Yang, Roland Kwitt, Martin Styner, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 30, 2015
Group Testing for Longitudinal DataYi Hong, Nikhil Singh, Roland Kwitt, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Studying cerebral vasculature using structure proximity and graph kernelsRoland Kwitt, Danielle Pace, Marc Niethammer, et al.
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 18, 2009
Lightweight probabilistic texture retrievalRoland Kwitt, Andreas Uhl
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 12, 2010
Lightweight detection of additive watermarking in the DWT-domainRoland Kwitt, Peter Meerwald, Andreas Uhl
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 1, 2011
Efficient texture image retrieval using copulas in a Bayesian frameworkRoland Kwitt, Peter Meerwald, Andreas Uhl
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|June 12, 2020
Metric Learning for Image RegistrationMarc Niethammer, Roland Kwitt, François-Xavier Vialard
Scientific Reports|July 20, 2018
Compressing Networks with Super NodesNatalie Stanley, Roland Kwitt, Marc Niethammer, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Recognition in ultrasound videos: where am I?Roland Kwitt, Nuno Vasconcelos, Sharif Razzaque, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 9, 2014
Time-warped geodesic regressionYi Hong, Nikhil Singh, Roland Kwitt, et al.
Neuroimage|July 15, 2017
Quicksilver: Fast predictive image registration - A deep learning approachXiao Yang, Roland Kwitt, Martin Styner, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 30, 2015
Group Testing for Longitudinal DataYi Hong, Nikhil Singh, Roland Kwitt, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Studying cerebral vasculature using structure proximity and graph kernelsRoland Kwitt, Danielle Pace, Marc Niethammer, et al.
Pageof 4