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Analysis of Sampling Strategies for Convolutional Neural Network Based Cardiac Magnetic Resonance Image Reconstruction

Author:Junyu Wang  Yang Yang  Xue Feng  Daniel Weller  Michael Salerno  

Institution:University of Virginia  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:17:00  

Session Name:Myocardial Function & Deformation 2  

Program Number:2155  

Presentation Time:17:00   

Room Number:Exhibition Hall  

Computer Number:Computer 31  

Automated CSF Detection for Post-hemorrhagic Hydrocephalus in Preterm Infants Using 3D U-Net

Author:Li Zhao  Xue Feng  Craig Meyer  Kushal Kapse  Matthew Whitehead  Adre du Plessis  Catherine Limperopoulos  

Institution:Childrens National Medical Center  University of Virginia  

Session Type:Digital Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:09:15  

Session Name:Flow in the Brain  

Program Number:2554  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 81  

DAS-Net: A Generative Adversarial Net to Suppress Artifact-Generating Echoes in DENSE MRI

Author:Mohammad Abdishektaei  Xue Feng  Craig Meyer  Frederick Epstein  

Institution:University of Virginia  

Session Type:Oral  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Myocardial Function & Deformation  

Program Number:1089  

Presentation Time:10:03   

Room Number:Room 518A-C  

Computer Number:

Deep learning motion compensation for Cartesian and spiral trajectories

Author:Quan Dou  Xue Feng  Zhixing Wang  Daniel Weller  Craig Meyer  

Institution:University of Virginia  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Motion Correction: Brain  

Program Number:4447  

Presentation Time:08:15   

Room Number:Exhibition Hall  

Computer Number:Computer 74  

Deep learning without ground truth: an unsupervised method for MR image denoising and super-resolution

Author:Xue Feng  Craig Meyer  

Institution:University of Virginia  

Session Type:Power Pitch  

Session Date:Tuesday, 14 May 2019  

Session Time:13:30  

Session Name:Pitch: Machine Learning Unleashed 1  

Program Number:0472  

Presentation Time:13:30   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:

Deep learning without ground truth: an unsupervised method for MR image denoising and super-resolution

Author:Xue Feng  Craig Meyer  

Institution:University of Virginia  

Session Type:Power Pitch Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Poster: Machine Learning Unleashed 1  

Program Number:0472  

Presentation Time:14:30   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:Plasma 23  

Fetal Brain Automatic Segmentation Using 3D Deep Convolutional Neural Network

Author:Li Zhao  Xue Feng  Craig Meyer  Yao Wu  Adre du Plessis  Catherine Limperopoulos  

Institution:Childrens National Medical Center  University of Virginia  

Session Type:Oral  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Fetal & Placental MRI  

Program Number:1070  

Presentation Time:08:15   

Room Number:Room 516C-E  

Computer Number:

High Resolution Real-time Spiral Cine with Whole Heart Coverage in Under 30 Seconds

Author:Zhixing Wang  Xue Feng  Yang Yang  Ruixi Zhou  Michael Salerno  Craig Meyer  

Institution:University of Virginia  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:16:00  

Session Name:Myocardial Function & Deformation 1  

Program Number:2124  

Presentation Time:16:00   

Room Number:Exhibition Hall  

Computer Number:Computer 174  

View-independent cardiac MRI segmentation with rotation-based training and testing augmentation using a dilated convolutional neural network

Author:Xue Feng  Chirstopher Kramer  Craig Meyer  

Institution:University of Virginia  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:17:00  

Session Name:Cardiovascular Image Processing & Reconstruction  

Program Number:2140  

Presentation Time:17:00   

Room Number:Exhibition Hall  

Computer Number:Computer 16