25 citations · 46 across the 4 of their papers we have counts for
5 papers · 1 filter
IVIM-Morph: Motion-compensated quantitative Intra-voxel Incoherent Motion (IVIM) analysis for functional fetal lung maturity assessment from diffusion-weighted MRI data
Noga Kertes, Yael Zaffrani-Reznikov, Onur Afacan +3
Quantitative analysis of pseudo-diffusion in diffusion-weighted magnetic resonance imaging (DWI) data shows potential for assessing fetal lung maturation and generating valuable im…
PCMC-T1: Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction
Eyal Hanania, Ilya Volovik, Lilach Barkat +2
T1 mapping is a quantitative magnetic resonance imaging (qMRI) technique that has emerged as a valuable tool in the diagnosis of diffuse myocardial diseases. However, prevailing ap…
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…
Learning a sparse database for patch-based medical image segmentation
Moti Freiman, Hannes Nickisch, Holger Schmitt +4
We introduce a functional for the learning of an optimal database for patch-based image segmentation with application to coronary lumen segmentation from coronary computed tomograp…
Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation
Moti Freiman, Hannes Nickisch, Sven Prevrhal +5
Purpose: The goal of this study was to assess the potential added benefit of accounting for partial volume effects (PVE) in an automatic coronary lumen segmentation algorithm from…