Deep Model-based MR Parameter Mapping Network (DOPAMINE) for Fast MR Reconstruction

Author:Yohan Jun  Hyungseob Shin  Taejoon Eo  Taeseong Kim  Dosik Hwang  

Institution:Yonsei University  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0988  

Room Live Q&A Session:Wednesday Parallel 5  

High-Fidelity Reconstruction with Instance-wise Discriminative Feature Matching Loss

MRI Reconstruction Using Deep Bayesian Inference

Author:Guanxiong Luo  Peng Cao  

Institution:The University of Hong Kong  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0996  

Room Live Q&A Session:Wednesday Parallel 5  

Physics-Based Self-Supervised Deep Learning for Accelerated MRI Without Fully Sampled Reference Data

RED-N2N: Image reconstruction for MRI using deep CNN priors trained without ground truth

Author:Jiaming Liu  Cihat Eldeniz  Yu Sun  Weijie Gan  Sihao Chen  Hongyu An  Ulugbek Kamilov  

Institution:Washington University in St. Louis  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0993  

Room Live Q&A Session:Wednesday Parallel 5  

A spatially adaptive cross-modality based three-dimensional reconstruction network for susceptibility imaging

Author:Lijun Bao  Hongyuan Zhang  

Institution:Xiamen University  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0995  

Room Live Q&A Session:Wednesday Parallel 5  

Synchronizing dimension reduction and parameter inference in 3D multiparametric MRI: A hybrid dual-pathway neural network approach

Wasserstein GANs for MR Imaging: from Paired to Unpaired Training

Author:Ke Lei  Morteza Mardani  Shreyas Vasanawala  John Pauly  

Institution:Stanford University  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0992  

Room Live Q&A Session:Wednesday Parallel 5  

S-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction