research
∙
09/30/2020
Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images
Dynamic contrast-enhanced magnetic resonance imaging (DCE- MRI) is a wid...
share
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
∙
12/05/2019
Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges
Magnetic Resonance Imaging (MRI) suffers from several artifacts, the mos...
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
∙
10/24/2019
Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model
Purpose: To rapidly reconstruct undersampled 3D non-Cartesian image-base...
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
∙
05/08/2018
Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering
To increase the flexibility and scalability of deep neural networks for ...
research
∙
05/31/2017
