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

collaborators

2 papers

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…

eess.IV2022

sim2real: Cardiac MR Image Simulation-to-Real Translation via Unsupervised GANs

Sina Amirrajab, Yasmina Al Khalil, Cristian Lorenz +3

There has been considerable interest in the MR physics-based simulation of a database of virtual cardiac MR images for the development of deep-learning analysis networks. However,…