CNNT denoising for cine imaging at 0.55T with higher acceleration rates

Deep Learning Pipeline for Preprocessing and Segmenting Cardiac Magnetic Resonance of Single Ventricle Patients from an Image Registry

Improved T1, T2 and PDFF mapping with rosette MRF using virtual-coil + low-rank + patch-based regularization

Cardiac Magnetic Resonance Feature Tracking for Detection of Acute Cardiac Allograft Rejection after Heart Transplantation

Deep-learning-based super-resolution technique for cine cardiac magnetic resonance

Novel Reconstruction Method to Improve the Sharpness of Free Breathing Cardiac MR Late Gadolinium Enhancement Images on a Commercial 0.55T System

Assessment of cardiac function using free-breathing, motion corrected artificial intelligence cine: comparison with conventional cine

2D U-Net for left heart segmentation for CINE sequences, deal with new target data: comparison of 3 approaches

Unsupervised deep learning with variational autoencoder for image quality improvement in ultrafast cardiac cine MRI: Initial results

Evaluation of image quality and global cardiac function for deep learning accelerated cardiac Cine

A feasibility study of deep learning cardiac cine comparing image quality and volumetry with the conventional ASSET cine

Reconstruction of Dynamic MRI Tensor Data Using Frequency Low-rank and Sparsity Prior