most citedA Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

physics.med-ph2026

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…

physics.med-ph2023★ 1 cited

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…