12 citations · 13 across the 3 of their papers we have counts for
4 papers
PGDM-MRSRGAN: Physics-Guided Degradation Model with an SRGAN Framework for Magnetic Resonance Image Super-Resolution: Applications in Low-Field MRI
Yashwant Kurmi, Charlotte R. Sappo, Sai Abitha Srinivas +3
Magnetic Resonance Imaging (MRI) often suffers from low signal-to-noise ratio (SNR) and limited spatial resolution, which compromise clinical precision. This study aims to address…
Fast Electromagnetic and RF Circuit Co-Simulation for Passive Resonator Field Calculation and Optimization in MRI
Zhonghao Zhang, Ming Lu, Hao Liang +5
Passive resonators have been widely used in MRI to manipulate RF field distributions. However, optimizing these structures using full-wave electromagnetic simulations is computatio…
MATI: A GPU-Accelerated Toolbox for Microstructural Diffusion MRI Simulation and Data Fitting with a User-Friendly GUI
Junzhong Xu, Sean P. Devan, Diwei Shi +7
MATI (Microstructural Analysis Toolbox for Imaging) is a versatile MATLAB-based toolbox that combines both simulation and data fitting capabilities for microstructural dMRI researc…
Amide Proton Transfer (APT) imaging in tumor with a machine learning approach using partially synthetic data
Malvika Viswanathan, Leqi Yin, Yashwant Kurmi +1
Machine learning (ML) has been increasingly used to quantify chemical exchange saturation transfer (CEST) effect. ML models are typically trained using either measured data or full…