162 citations · 213 across the 5 of their papers we have counts for
6 papers
Two observables of one wall: how surface relaxivity can bias the diffusion intra-axonal fraction and the myelin water fraction
Rutger H. J. Fick
Surface relaxivity and time-dependent diffusion are two readouts of the same wall collisions on one substrate: the transverse rate that microstructure imaging fits is a bulk rate p…
Mitosis domain generalization in histopathology images -- The MIDOG challenge
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram +32
The density of mitotic figures within tumor tissue is known to be highly correlated with tumor proliferation and thus is an important marker in tumor grading. Recognition of mitoti…
Robust Mitosis Detection Using a Cascade Mask-RCNN Approach With Domain-Specific Residual Cycle-GAN Data Augmentation
Gauthier Roy, Jules Dedieu, Capucine Bertrand +5
For the MIDOG mitosis detection challenge, we created a cascade algorithm consisting of a Mask-RCNN detector, followed by a classification ensemble consisting of ResNet50 and Dense…
Groupwise Structural Parcellation of the Cortex: A Sound Approach Based on Logistic Models
Guillermo Gallardo, William Wells, Rachid Deriche +1
Current theories hold that brain function is highly related to long-range physical connections through axonal bundles, namely extrinsic connectiv-ity. However, obtaining a groupwis…
Diffusion MRI microstructure models with in vivo human brain Connectom data: results from a multi-group comparison
Uran Ferizi, Benoit Scherrer, Torben Schneider +20
A large number of mathematical models have been proposed to describe the measured signal in diffusion-weighted (DW) magnetic resonance imaging (MRI) and infer properties about the…
Improving Fiber Alignment in HARDI by Combining Contextual PDE Flow with Constrained Spherical Deconvolution
J. M. Portegies, R. H. J. Fick, G. R. Sanguinetti +3
We propose two strategies to improve the quality of tractography results computed from diffusion weighted magnetic resonance imaging (DW-MRI) data. Both methods are based on the sa…