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Rutger H J Fick

Showing results (1-10 of 8) with videos related to

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Frontiers in Neuroinformatics|November 5, 2019
The Dmipy Toolbox: Diffusion MRI Multi-Compartment Modeling and Microstructure Recovery Made EasyRutger H J Fick, Demian Wassermann, Rachid Deriche
Neuroimage|April 5, 2016
MAPL: Tissue microstructure estimation using Laplacian-regularized MAP-MRI and its application to HCP dataRutger H J Fick, Demian Wassermann, Emmanuel Caruyer, et al.
Medical Image Analysis|October 6, 2017
Non-parametric graphnet-regularized representation of dMRI in space and timeRutger H J Fick, Alexandra Petiet, Mathieu Santin, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|June 25, 2023
Interpretable HER2 scoring by evaluating clinical guidelines through a weakly supervised, constrained deep learning approachManh-Dan Pham, Guillaume Balezo, Cyprien Tilmant, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
A Partial Label-Based Machine Learning Approach For Cervical Whole-Slide Image Classification: The Winning TissueNet Solution<sup></sup>Rutger H J Fick, Brice Tayart, Capucine Bertrand, et al.
Journal of Pathology Informatics|January 6, 2023
Can AI predict epithelial lesion categories via automated analysis of cervical biopsies: The TissueNet challenge?Nicolas Loménie, Capucine Bertrand, Rutger H J Fick, et al.
NMR in Biomedicine|June 24, 2017
Diffusion MRI microstructure models with in vivo human brain Connectome data: results from a multi-group comparisonUran Ferizi, Benoit Scherrer, Torben Schneider, et al.
Medical Image Analysis|December 4, 2022
Mitosis domain generalization in histopathology images - The MIDOG challengeMarc Aubreville, Nikolas Stathonikos, Christof A Bertram, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Frontiers in Neuroinformatics|November 5, 2019
The Dmipy Toolbox: Diffusion MRI Multi-Compartment Modeling and Microstructure Recovery Made EasyRutger H J Fick, Demian Wassermann, Rachid Deriche
Neuroimage|April 5, 2016
MAPL: Tissue microstructure estimation using Laplacian-regularized MAP-MRI and its application to HCP dataRutger H J Fick, Demian Wassermann, Emmanuel Caruyer, et al.
Medical Image Analysis|October 6, 2017
Non-parametric graphnet-regularized representation of dMRI in space and timeRutger H J Fick, Alexandra Petiet, Mathieu Santin, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|June 25, 2023
Interpretable HER2 scoring by evaluating clinical guidelines through a weakly supervised, constrained deep learning approachManh-Dan Pham, Guillaume Balezo, Cyprien Tilmant, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
A Partial Label-Based Machine Learning Approach For Cervical Whole-Slide Image Classification: The Winning TissueNet Solution<sup></sup>Rutger H J Fick, Brice Tayart, Capucine Bertrand, et al.
Journal of Pathology Informatics|January 6, 2023
Can AI predict epithelial lesion categories via automated analysis of cervical biopsies: The TissueNet challenge?Nicolas Loménie, Capucine Bertrand, Rutger H J Fick, et al.
NMR in Biomedicine|June 24, 2017
Diffusion MRI microstructure models with in vivo human brain Connectome data: results from a multi-group comparisonUran Ferizi, Benoit Scherrer, Torben Schneider, et al.
Medical Image Analysis|December 4, 2022
Mitosis domain generalization in histopathology images - The MIDOG challengeMarc Aubreville, Nikolas Stathonikos, Christof A Bertram, et al.
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