390 citations · 448 across the 4 of their papers we have counts for
3 papers · 1 filter
The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information
D. Abler, O. Pusterla, A. Joye-Kühnis +19
Background: Radiomics shows promise in characterizing glioblastoma, but its added value over clinical and molecular predictors has yet to be proven. This study assessed the added v…
Learning from spatially inhomogenous data: resolution-adaptive convolutions for multiple sclerosis lesion segmentation
Ivan Diaz, Florin Scherer, Yanik Berli +6
In the setting of clinical imaging, differences in between vendors, hospitals and sequences can yield highly inhomogeneous imaging data. In MRI in particular, voxel dimension, slic…
CHEmical-shift selective Adiabatic Pulse (CHEAP): Fast and High Resolution Downfield 3D 1H-MRSI at 7T
Guodong Weng, Piotr Radojewski, Sulaiman Sheriff +4
The key molecules such as triphosphate (ATP), glutathione (GSH), and homocarnosine (hCs) - central to metabolic processes in the human brain remain elusive or challenging to detect…