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Contrast-free MRI Contrast Enhancement with Deep Attention Generative Adversarial Network

Author:Jiang Liu  Enhao Gong  Thomas Christen  Greg Zaharchuk  

Institution:Grenoble Institute of Neurosciences  Stanford University  Tsinghua University  Tsinghua University  Subtle Medical Inc.  

Session Type:Oral  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Deep Learning: Acquisition, Uncertainty & Prediction  

Program Number:1091  

Presentation Time:08:27   

Room Number:Room 520A-F  

Computer Number:

Dual-domain Generative Adversarial Model for Accelerated MRI Reconstruction

Author:Guanhua Wang  Enhao Gong  Suchandrima Banerjee  Karen Ying  Greg Zaharchuk  John Pauly  

Institution:Ge Healthcare  GE Healthcare  Stanford University  Tsinghua University  Tsinghua University  Subtle Medical  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: A New Frontier  

Program Number:4655  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 112  

Efficient MR Image Compression using Deep Learning Models for Multi-contrast MRI

Author:Enhao Gong  Xiaofan Lin  John Pauly  

Institution:Stanford University  Subtle Medical  University of california, San Diego  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Image Reconstruction I  

Program Number:4763  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 45  

Enhance One-minute EPIMix Brain MRI Exams with Unsupervised Cycle-Consistent Generative Adversarial Network

Author:Jiang Liu  Enhao Gong  Stefan Skare  Greg Zaharchuk  

Institution:Karolinska Institutet  Stanford University  Tsinghua University  Tsinghua University  Subtle Medical Inc.  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Prediction & Image Analysis  

Program Number:4885  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 167  

Generative Adversarial Networks based Compressed Sensing for Multi-contrast Intracranial Vessel Wall Imaging Acceleration

Author:Niranjan Balu  Long Wang  Tao Zhang  Zechen Zhou  Enhao Gong  Kristi Pimentel  Mahmud Mossa-Basha  Thomas Hatsukami  Chun Yuan  

Institution:Philips Research North America  Subtle Medical Inc.  University of Washington  Tsinghua University  Tsinghua University  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:16:00  

Session Name:Atherosclerosis & MR Angiography  

Program Number:2077  

Presentation Time:16:00   

Room Number:Exhibition Hall  

Computer Number:Computer 127  

How to Generalize a Deep Learning Model to New Data Lacking Appropriate MR Inputs?  An Exploration using Ultra-low-dose Amyloid PET/MRI

Author:Kevin Chen  Matti Schürer  Jiahong Ouyang  Enhao Gong  Solveig Tiepolt  Osama Sabri  Greg Zaharchuk  Henryk Barthel  

Institution:Stanford University  University of Leipzig  

Session Type:Power Pitch  

Session Date:Wednesday, 15 May 2019  

Session Time:08:15  

Session Name:Pitch: Machine Learning Unleashed 2  

Program Number:0677  

Presentation Time:08:15   

Room Number:Power Pitch Theater A - Exhibition Hall  

Computer Number:

How to Generalize a Deep Learning Model to New Data Lacking Appropriate MR Inputs?  An Exploration using Ultra-low-dose Amyloid PET/MRI

Author:Kevin Chen  Matti Schürer  Jiahong Ouyang  Enhao Gong  Solveig Tiepolt  Osama Sabri  Greg Zaharchuk  Henryk Barthel  

Institution:Stanford University  University of Leipzig  

Session Type:Power Pitch Poster  

Session Date:Wednesday, 15 May 2019  

Session Time:09:15  

Session Name:Poster: Machine Learning Unleashed 2  

Program Number:0677  

Presentation Time:09:15   

Room Number:Power Pitch Theater A - Exhibition Hall  

Computer Number:Plasma 11  

OneforAll: Improving the Quality of Multi-contrast Synthesized MRI Using a Multi-Task Generative Model

Author:Guanhua Wang  Enhao Gong  Suchandrima Banerjee  Huijun Chen  John Pauly  Greg Zaharchuk  

Institution:Ge Healthcare  GE Healthcare  Stanford University  Tsinghua University  Tsinghua University  Subtle Medical  

Session Type:Oral  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Novel Neuroimaging Techniques  

Program Number:1041  

Presentation Time:08:27   

Room Number:Room 510A-D  

Computer Number:

Transfer Learning of an Ultra-low-dose Amyloid PET/MRI U-Net Across Scanner Models

Author:Kevin Chen  Matti Schürer  Jiahong Ouyang  Enhao Gong  Solveig Tiepolt  Osama Sabri  Greg Zaharchuk  Henryk Barthel  

Institution:Stanford University  University of Leipzig  

Session Type:Oral  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Molecular & Metabolic Imaging  

Program Number:1128  

Presentation Time:14:21   

Room Number:Room 510A-D  

Computer Number:

Ultra-low-dose Amyloid PET/MRI Reconstruction by Generative Adversarial Network

Author:Jiahong Ouyang  Kevin Chen  Enhao Gong  John Pauly  Greg Zaharchuk  

Institution:Carnegie Mellon University  Stanford University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4704  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 161  

Using convolutional neural networks to predict infarct development in acute ischemic stroke patients:  does reperfusion status matter?

Author:Yuan Xie  Yannan Yu  Thoralf Thamm  Charles Huang  Enhao Gong  Soren Christensen  Maarten Lansberg  Greg Zaharchuk  

Institution:Stanford University  

Session Type:Power Pitch  

Session Date:Monday, 13 May 2019  

Session Time:08:15  

Session Name:Pitch: Artificial Intelligence Neuro  

Program Number:0030  

Presentation Time:08:15   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:

Using convolutional neural networks to predict infarct development in acute ischemic stroke patients:  does reperfusion status matter?

Author:Yuan Xie  Yannan Yu  Thoralf Thamm  Charles Huang  Enhao Gong  Soren Christensen  Maarten Lansberg  Greg Zaharchuk  

Institution:Stanford University  

Session Type:Power Pitch Poster  

Session Date:Monday, 13 May 2019  

Session Time:09:15  

Session Name:Poster: Artificial Intellience Neuro  

Program Number:0030  

Presentation Time:09:15   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:Plasma 29