research
∙
11/09/2022
Automated MRI Field of View Prescription from Region of Interest Prediction by Intra-stack Attention Neural Network
Manual prescription of the field of view (FOV) by MRI technologists is v...
share
research
∙
11/06/2021
Artifact- and content-specific quality assessment for MRI with image rulers
In clinical practice MR images are often first seen by radiologists long...
research
∙
03/06/2021
Memory-efficient Learning for High-Dimensional MRI Reconstruction
Deep learning (DL) based unrolled reconstructions have shown state-of-th...
research
∙
08/29/2020
Unsupervised MRI Reconstruction with Generative Adversarial Networks
Deep learning-based image reconstruction methods have achieved promising...
research
∙
04/03/2020
Complex-Valued Convolutional Neural Networks for MRI Reconstruction
Many real-world signal sources are complex-valued, having real and imagi...
research
∙
11/13/2019
Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT
A novel neural network architecture, known as DL-ESPIRiT, is proposed to...
research
∙
03/19/2019
Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning
Compressed sensing in MRI enables high subsampling factors while maintai...
research
∙
09/28/2018
Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones
Purpose: Off-resonance artifact correction by deep-learning, to facilita...
research
∙
09/11/2018
Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging
Magnetic resonance imaging is capable of producing volumetric images wit...
research
∙
05/08/2018
