480 citations · 1.4k across the 41 of their papers we have counts for
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Data-driven Synthesis of Magnetic Resonance Spectroscopy Data using a Variational Autoencoder
Dennis M. J. van de Sande, Julian P. Merkofer, Sina Amirrajab +4
The development of deep learning methods for magnetic resonance spectroscopy (MRS) is often hindered by limited availability of large, high-quality training datasets. While physics…
A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge
Julian P. Merkofer, Dennis M. J. van de Sande, Sina Amirrajab +5
This work proposes a method to accelerate the acquisition of high-quality edited magnetic resonance spectroscopy (MRS) scans using machine learning models taking the sample covaria…
A Review of Machine Learning Applications for the Proton Magnetic Resonance Spectroscopy Workflow
Dennis M. J. van de Sande, Julian P. Merkofer, Sina Amirrajab +6
This literature review presents a comprehensive overview of machine learning (ML) applications in proton magnetic resonance spectroscopy (MRS). As the use of ML techniques in MRS c…
Corneal Pachymetry by AS-OCT after Descemet's Membrane Endothelial Keratoplasty
Friso G. Heslinga, Ruben T. Lucassen, Myrthe A. van den Berg +5
Corneal thickness (pachymetry) maps can be used to monitor restoration of corneal endothelial function, for example after Descemet's membrane endothelial keratoplasty (DMEK). Autom…