25 citations · 72 across the 16 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
eess.IV2021
Non Parametric Data Augmentations Improve Deep-Learning based Brain Tumor Segmentation
Hadas Ben-Atya, Ori Rajchert, Liran Goshen +1
Automatic brain tumor segmentation from Magnetic Resonance Imaging (MRI) data plays an important role in assessing tumor response to therapy and personalized treatment stratificati…
eess.IV2021
Deep-Learning based Motion Correction for Myocardial T1 Mapping
Dar Arava, Mohammad Masarwy, Samah Khawaled +1
Myocardial T1 mapping is a cardiac MRI technique, used to assess myocardial fibrosis. In this technique, a series of T1-weighted MRI images are acquired with different saturation o…
cs.CV2021★ 17 cited
NPBDREG: Uncertainty Assessment in Diffeomorphic Brain MRI Registration using a Non-parametric Bayesian Deep-Learning Based Approach
Samah Khawaled, Moti Freiman
Quantification of uncertainty in deep-neural-networks (DNN) based image registration algorithms plays a critical role in the deployment of image registration algorithms for clinica…