3 papers
physics.med-ph2026
Synthetic Data in MR Spectroscopy: Current Practices, Applications, and Considerations
John T. LaMaster, Aaron T. Gudmundson, Alireza Abaei +75
The use of synthetic data has emerged as an essential tool in Magnetic Resonance Spectroscopy (MRS) research and applications, providing advantages for optimization of acquisition,…
physics.med-ph2025
An artificially intelligent magnetic resonance spectroscopy quantification method: Comparison between QNet and LCModel on the cloud computing platform CloudBrain-MRS
Meijin Lin, Lin Guo, Dicheng Chen +10
Objctives: This work aimed to statistically compare the metabolite quantification of human brain magnetic resonance spectroscopy (MRS) between the deep learning method QNet and the…
eess.SP2024
Alternating Deep Low-Rank Approach for Exponential Function Reconstruction and Its Biomedical Magnetic Resonance Applications
Yihui Huang, Zi Wang, Xinlin Zhang +5
Undersampling can accelerate the signal acquisition but at the cost of bringing in artifacts. Removing these artifacts is a fundamental problem in signal processing and this task i…