Active acquisition for MRI reconstruction

Author:Zizhao Zhang  Adriana Romero  Matthew Muckley  Pascal Vincent  Michal Drozdzal  

Institution:Facebook AI Research  NYU School of Medicine  University of Florida  

Session Type:Oral  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Deep Learning: Acquisition, Uncertainty & Prediction  

Program Number:1093  

Presentation Time:08:51   

Room Number:Room 520A-F  

Computer Number:

AUTOmated pulse SEQuence generation (AUTOSEQ) and neural network decoding for fast quantitative MR parameter measurement using continuous and simultaneous RF transmit and receive

Author:Bo Zhu  Jeremiah Liu  Neha Koonjoo  Bruce Rosen  Matthew Rosen  

Institution:Harvard University  MGH Martinos Center for Biomedical Imaging  Harvard Medical School  Harvard Medical School  

Session Type:Oral  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Deep Learning: Acquisition, Uncertainty & Prediction  

Program Number:1090  

Presentation Time:08:15   

Room Number:Room 520A-F  

Computer Number:

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:

Convolutional neural network-based image reconstruction and image classification: atomization or amalgamation?

Author:Sarah Eskreis-Winkler  Zhe Liu  Jinwei Zhang  Pascal Spincemaille  Thanh Nguyen  Ilhami Kovanlikaya  Yi Wang  

Institution:Cornell University  Weill Cornell Medicine  Memorial Sloan Kettering Cancer Center  

Session Type:Oral  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Deep Learning: Acquisition, Uncertainty & Prediction  

Program Number:1097  

Presentation Time:09:39   

Room Number:Room 520A-F  

Computer Number:

Deep Learning with Attention to Predict Gestational Age of the Fetal Brain Using MRI

Author:Liyue Shen  Katie Shpanskaya  Edward Lee  Emily McKenna  Maryam Maleki  Quin Lu  John Pauly  Kristen Yeom  

Institution:Philips Healthcare North America  Stanford University  

Session Type:Oral  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Deep Learning: Acquisition, Uncertainty & Prediction  

Program Number:1099  

Presentation Time:10:03   

Room Number:Room 520A-F  

Computer Number:

Deep learning-based uncertainty estimation: application in PET/MRI joint estimation of attenuation and activity for patients with metal implants

Estimating Model and Data Dependant Uncertainty for Synthetic-CTs obtained using Generative Adversarial Networks

Author:Matt Hemsley  Brige Chugh  Mark Ruschin  Young Lee  Chia-Lin Tseng  Greg Stanisz  Angus Lau  

Institution:Sunnybrook Health Sciences Centre  University of Toronto  Sunnybrook Research Institute  

Session Type:Oral  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Deep Learning: Acquisition, Uncertainty & Prediction  

Program Number:1094  

Presentation Time:09:03   

Room Number:Room 520A-F  

Computer Number:

Predicting 10-Year Risk of Type 2 Diabetes Onset Using Lifestyle, Genomics, and Whole Body DIXON MR Imaging

Author:Axel Bernal  Natalie Schenker-Ahmed  Alex Graff  Jian Wu  Dmitry Tkach  David Karow  Christine Swisher  

Institution:Human Longevity, Inc  

Session Type:Oral  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Deep Learning: Acquisition, Uncertainty & Prediction  

Program Number:1096  

Presentation Time:09:27   

Room Number:Room 520A-F  

Computer Number:

Reinforcement Learning for Online Undersampling Pattern Optimization

Author:David Zeng  Christopher Sandino  Dwight Nishimura  Shreyas Vasanawala  Joseph Cheng  

Institution:Stanford University  

Session Type:Oral  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Deep Learning: Acquisition, Uncertainty & Prediction  

Program Number:1092  

Presentation Time:08:39   

Room Number:Room 520A-F  

Computer Number:

Relax-MANTIS: REference-free LAtent map-eXtracting MANTIS for efficient MR parametric mapping with unsupervised deep learning

Author:Wei Zha  Sean Fain  Richard Kijowski  Fang Liu  

Institution:University of Wisconsin-Madison  

Session Type:Oral  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Deep Learning: Acquisition, Uncertainty & Prediction  

Program Number:1098  

Presentation Time:09:51   

Room Number:Room 520A-F  

Computer Number: