research
∙
06/05/2023
A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge
This work proposes a method to accelerate the acquisition of high-qualit...
share
research
∙
09/09/2022
Pathology Synthesis of 3D Consistent Cardiac MR Im-ages Using 2D VAEs and GANs
We propose a method for synthesizing cardiac MR images with plausible he...
research
∙
08/09/2022
sim2real: Cardiac MR Image Simulation-to-Real Translation via Unsupervised GANs
There has been considerable interest in the MR physics-based simulation ...
research
∙
09/27/2021
Optimized Automated Cardiac MR Scar Quantification with GAN-Based Data Augmentation
Background: The clinical utility of late gadolinium enhancement (LGE) ca...
research
∙
11/25/2020
Physics-informed neural networks for myocardial perfusion MRI quantification
Tracer-kinetic models allow for the quantification of kinetic parameters...
research
∙
07/27/2020
XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms
Generative adversarial networks (GANs) have provided promising data enri...
research
∙
02/17/2020
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model
We propose a hybrid controllable image generation method to synthesize a...
research
∙
07/27/2019
Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI
The quantification of myocardial perfusion MRI has the potential to prov...
research
∙
06/06/2019
Hierarchical Bayesian myocardial perfusion quantification
Purpose: Tracer-kinetic models can be used for the quantitative assessme...
research
∙
05/28/2015
