76 citations · 84 across the 5 of their papers we have counts for
5 papers
Predicting dynamic, motion-related changes in B0 field in the brain at a 7 T MRI using a subject-specific fine-tuned U-net
Stanislav Motyka, Paul Weiser, Beata Bachrata +11
Subject movement during the magnetic resonance examination is inevitable and causes not only image artefacts but also deteriorates the homogeneity of the main magnetic field (B0),…
A comparison of 7 Tesla MR spectroscopic imaging and 3 Tesla MR fingerprinting for tumor localization in glioma patients
Philipp Lazen, Pedro Lima Cardoso, Sukrit Sharma +13
This paper investigates the correlation between magnetic resonance spectroscopic imaging (MRSI) and magnetic resonance fingerprinting (MRF) in glioma patients by comparing neuro-on…
Flow-based Visual Quality Enhancer for Super-resolution Magnetic Resonance Spectroscopic Imaging
Siyuan Dong, Gilbert Hangel, Eric Z. Chen +7
Magnetic Resonance Spectroscopic Imaging (MRSI) is an essential tool for quantifying metabolites in the body, but the low spatial resolution limits its clinical applications. Deep…
Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness
Siyuan Dong, Gilbert Hangel, Wolfgang Bogner +7
Magnetic Resonance Spectroscopic Imaging (MRSI) is a valuable tool for studying metabolic activities in the human body, but the current applications are limited to low spatial reso…
Super-Resolution 1H Magnetic Resonance Spectroscopic Imaging utilizing Deep Learning
Zohaib Iqbal, Dan Nguyen, Gilbert Hangel +3
Magnetic resonance spectroscopic imaging (SI) is a unique imaging technique that provides biochemical information from in vivo tissues. The 1H spectra acquired from several spatial…