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Deep Learning Algorithms May Aid In The Evaluation Of Cine Images In Patients With Atrial Arrhythmia – A Case Series

Author:Ria Garg  Elizabeth Hillier  Andrew Coristine  Matthias Friedrich  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Real-Time Cardiac MRI  

Session Name:Towards Real-Time Cardiac MRI  

Program Number:2875  

Room Session:Concurrent 2  

Institution:McGill University Health Center  RI-McGill University Health Center  MR applications and workflow, GE Healthcare  University of Alberta, Edmonton  

Improving deep unrolled neural networks for radial cine cardiac image reconstruction using memory-efficient training, Conv-LSTM based network

Author:Kanghyun Ryu  Christopher Sandino  Zhitao Li  Xucheng Zhu  Andrew Coristine  Martin Janich  Shreyas Vasanawala  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging  

Program Number:0447  

Room Session:Concurrent 2  

Institution:GE Healthcare  Stanford University