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Deep-learning based super-resolution reconstruction for 3D isotropic coronary MR angiography in a one-minute scan

Author:Thomas Küstner  Alina Psenicny  Camila Munoz  Niccolo Fuin  Aurelien Bustin  Haikun Qi  Radhouene Neji  Karl Kunze  Reza Hajhosseiny  Claudia Prieto  René Botnar  

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:0450  

Room Session:Concurrent 2  

Institution:IXICO  King's College London  Université de Bordeaux, INSERM, Centre de recherche Cardio-Thoracuique de Bordeaux  Siemens Healthcare Limited  University Hospital of Tübingen  

Development, Validation, and Application of an Automated Deep Learning Workflow for Strain Analysis based on cine-MRI

Author:Manuel Morales  Maaike van den Boomen  Christopher Nguyen  Jayashree Kalpathy-Cramer  Bruce Rosen  Collin Stultz  David Izquierdo-Garcia  Ciprian Catana  

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:0448  

Room Session:Concurrent 2  

Institution:Athinoula A. Martinos Center for Biomedical Imaging, MGH, HMS  Cardiovascular Research Center, MGH, HMS  Massachusetts General Hospital  Massachusetts Institute of Technology  University Medical Center Groningen  MIT  

Fully automated aortic 4D flow MRI large-cohort analysis using deep learning

Author:Michael Scott  Haben Berhane  Justin Baraboo  Cynthia Rigsby  Joshua Robinson  Patrick McCarthy  S Chris Malaisrie  Ryan Avery  Bradley Allen  Alexander Barker  Michael Markl  

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:0451  

Room Session:Concurrent 2  

Institution:Lurie Children's Hospital of Chicago  Northwestern University  University of Colorado, Anschutz Medical Campus  

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  

Intracranial Vessel Wall Segmentation with 2.5D UNet++ Deep Learning Network

Author:Hanyue Zhou  Jiayu Xiao  Debiao Li  Dan Ruan  Zhaoyang Fan  

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:0455  

Room Session:Concurrent 2  

Institution:Cedars-Sinai Medical Center  University of California, Los Angeles  University of Southern California  

Machine Learning aided k-t SENSE for fast reconstruction of highly accelerated PCMR data

Author:Grzegorz Kowalik  Javier Montalt-Tordera  Jennifer Steeden  Vivek Muthurangu  

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:0456  

Room Session:Concurrent 2  

Institution:University College London  

MyoMapNet: A Deep Neural Network for Accelerating the Modified Look-Locker Inversion Recovery Myocardial T1 Mapping to 5 Heart Beats

Author:Hossam El-Rewaidy  Rui Guo  Reza Nezafat  

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:0449  

Room Session:Concurrent 2  

Institution:Beth Israel Deaconess Medical Center and Harvard Medical School  Technical University of Munich  

Prediction of aneurysm stability using a machine learning model based on 4D-Flow MRI and Black Blood MRI

Author:Miaoqi Zhang  Mingzhu Fu  Hanyu Wei  Shuo Chen  Rui Li  

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:0454  

Room Session:Concurrent 2  

Institution:Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University  

Validation of a Deep Learning based Automated Myocardial Inversion Time Selection for Late Gadolinium Enhancement Imaging in a Prospective Study

Author:Seung Su Yoon  Michaela Schmidt  Manuela Rick  Teodora Chitiboi  Puneet Sharma  Tilman Emrich  Christoph Tilmanns  Ralph Waßmuth  Jens Wetzl  Andreas Maier  

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:0452  

Room Session:Concurrent 2  

Institution:Diagnostikum Berlin  Friedrich-Alexander-Universität Erlangen-Nürnberg  Siemens Healthcare GmbH  Siemens Medical Solutions USA, Inc.  University Medical Center, Johannes Gutenberg-University Mainz  Medical University of South Carolina  

Voxel-wise Tracking of Grid Tagged Cardiac Images using a Neural Network Trained with Synthetic Data

Author:Michael Loecher  Luigi Perotti  Daniel Ennis  

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:0453  

Room Session:Concurrent 2  

Institution:Stanford University  University of Central Florida  Veterans Affairs Health Care System