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Mikael Rousson

Showing results (1-10 of 4) 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
Efficient kernel density estimation of shape and intensity priors for level set segmentationMikael Rousson, Daniel Cremers
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2007
Gamma-convergence approximation to piecewise smooth medical image segmentationJungha An, Mikael Rousson, Chenyang Xu
The Journal of Physiology|July 22, 2025
Robust coupling between the C-tactile afferent and the hair follicle in humansWarren Moore, Johan Nikesjö, Otmane Bouchatta, et al.
Medical Image Analysis|March 13, 2019
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challengeMitko Veta, Yujing J Heng, Nikolas Stathonikos, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|May 12, 2006
Efficient kernel density estimation of shape and intensity priors for level set segmentationMikael Rousson, Daniel Cremers
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2007
Gamma-convergence approximation to piecewise smooth medical image segmentationJungha An, Mikael Rousson, Chenyang Xu
The Journal of Physiology|July 22, 2025
Robust coupling between the C-tactile afferent and the hair follicle in humansWarren Moore, Johan Nikesjö, Otmane Bouchatta, et al.
Medical Image Analysis|March 13, 2019
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challengeMitko Veta, Yujing J Heng, Nikolas Stathonikos, et al.
Pageof 1