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François Lauze

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

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IEEE Transactions on Pattern Analysis and Machine Intelligence|May 1, 2010
The improbability of harris interest pointsMarco Loog, François Lauze
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 16, 2008
Deinterlacing using variational methodsSune Høgild Keller, François Lauze, Mads Nielsen
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 20, 2011
Video super-resolution using simultaneous motion and intensity calculationsSune Høgild Keller, François Lauze, Mads Nielsen
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 19, 2011
A multi-scale kernel bundle for LDDMM: towards sparse deformation description across space and scalesStefan Sommer, Mads Nielsen, François Lauze, et al.
Frontiers in Artificial Intelligence|March 17, 2025
<i>SE</i>(3) group convolutional neural networks and a study on group convolutions and equivariance for DWI segmentationRenfei Liu, François Lauze, Erik J Bekkers, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 26, 2012
Toward a theory of statistical tree-shape analysisAasa Feragen, Pechin Lo, Marleen de Bruijne, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 21, 2022
Bundle geodesic convolutional neural network for diffusion-weighted imaging segmentationRenfei Liu, François Lauze, Kenny Erleben, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2007
A family of principal component analyses for dealing with outliersJ Eugenio Iglesias, Marleen de Bruijne, Marco Loog, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural networkAdhish Prasoon, Kersten Petersen, Christian Igel, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2007
Quantifying calcification in the lumbar aorta on X-ray imagesLars A Conrad-Hansen, Marleen de Bruijne, François Lauze, et al.
Pageof 1

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

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 1, 2010
The improbability of harris interest pointsMarco Loog, François Lauze
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 16, 2008
Deinterlacing using variational methodsSune Høgild Keller, François Lauze, Mads Nielsen
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 20, 2011
Video super-resolution using simultaneous motion and intensity calculationsSune Høgild Keller, François Lauze, Mads Nielsen
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 19, 2011
A multi-scale kernel bundle for LDDMM: towards sparse deformation description across space and scalesStefan Sommer, Mads Nielsen, François Lauze, et al.
Frontiers in Artificial Intelligence|March 17, 2025
<i>SE</i>(3) group convolutional neural networks and a study on group convolutions and equivariance for DWI segmentationRenfei Liu, François Lauze, Erik J Bekkers, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 26, 2012
Toward a theory of statistical tree-shape analysisAasa Feragen, Pechin Lo, Marleen de Bruijne, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 21, 2022
Bundle geodesic convolutional neural network for diffusion-weighted imaging segmentationRenfei Liu, François Lauze, Kenny Erleben, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2007
A family of principal component analyses for dealing with outliersJ Eugenio Iglesias, Marleen de Bruijne, Marco Loog, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural networkAdhish Prasoon, Kersten Petersen, Christian Igel, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2007
Quantifying calcification in the lumbar aorta on X-ray imagesLars A Conrad-Hansen, Marleen de Bruijne, François Lauze, et al.
Pageof 1