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AI-based Computer-Aided System for Cardiovascular Disease Evaluation (AI-CASCADE) for carotid tissue quantification

Author:Yin Guo  Li Chen  Dongxiang Xu  Rui Li  Xihai Zhao  Thomas Hatsukami  Chun Yuan  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2666  

Room Session:Concurrent 2  

Institution:Tsinghua University  University of Washington  

Automated Segmentation of the Left Atrium from 3D Late Gadolinium Enhancement Imaging using Deep Learning

Author:Suvai Gunasekaran  Julia Hwang  Daming Shen  Aggelos Katsaggelos  Mohammed Elbaz  Rod Passman  Daniel Kim  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2669  

Room Session:Concurrent 2  

Institution:Northwestern University  Northwestern University, Feinberg School of Medicine  

Automated Vessel Segmentation for 2D Phase Contrast MR Using Deep Learning

Author:Ning Jin  Maria Monzon  Teodora Chitiboi  Aaron Pruitt  Daniel Giese  Matthew Tong  Orlando Simonetti  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2635  

Room Session:Concurrent 2  

Institution:Siemens Healthcare  Siemens Medical Solutions USA, Inc  Siemens Medical Solutions USA, Inc.  The Ohio State University  

Automatic multilabel segmentation of large cerebral vessels from MR angiography images using deep learning

Author:Félix Dumais  Marco Perez Caceres  Noémie Arès-Bruneau  Christian Bocti  Kevin Whittingstall  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2662  

Room Session:Concurrent 2  

Institution:Université de Sherbrooke  CIUSSS de l’Estrie-CHUS  CHUS  

Automatic segmentation of middle cerebral artery plaque based on deep learning

Author:Shuai Shen  Xiao Liu  Zhuyuerong Li  Tao Jiang  Hairong Zheng  Xin Liu  Na Zhang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2634  

Room Session:Concurrent 2  

Institution:Department of radiology, Beijing Chao-Yang hospital, Capital medical university  Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  College of Software, Xinjiang University  Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  CAS key laboratory of health informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  

Cardiac metabolism assessed by MR Spectroscopy to classify the diabetic and obese heart: a Random Forest and Bayesian network study

Author:Ina Hanninger  Eylem Levelt  Jennifer Rayner  Christopher Rodgers  Stefan Neubauer  Vicente Grau  Oliver Rider  Ladislav Valkovic  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2671  

Room Session:Concurrent 2  

Institution:Oxford Institute of Biomedical Engineering  University of Oxford Centre for Clinical Magnetic Resonance Research  Institute of Measurement Science  University of Leeds  Wolfson Brain Imaging Centre  

Cardiac MRI feature tracking by deep learning from DENSE data

Author:Yu Wang  Sona Ghadimi  Changyu Sun  Frederick Epstein  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2656  

Room Session:Concurrent 2  

Institution:University of Virginia  

The Comparison of denoising methods for cardiac diffusion tensor imaging

Author:Xi Xu  Yuxin Yang  Yuanyuan Liu  Dong Liang  Hairong Zheng  Yanjie Zhu  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2636  

Room Session:Concurrent 2  

Institution:Shenzhen Institute of Advanced Technology  

A comparison of spiral trajectories in a deep learning reconstruction for DENSE

Author:Samuel Fielden  Eric Carruth  Brandon Fornwalt  Christopher Haggerty  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2641  

Room Session:Concurrent 2  

Institution:Geisinger  

Comparison of Traditional fSNAP and 3D FuseUnet Based fSNAP

Author:Chuyu Liu  Shuo Chen  Rui Li  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2638  

Room Session:Concurrent 2  

Institution:Tsinghua University  

Cross Validation of a Deep Learning-Based ESPIRiT Reconstruction for Accelerated 2D Phase Contrast MRI

Author:Jack Warren  Matthew Middione  Julio Oscanoa  Christopher Sandino  Shreyas Vasanawala  Daniel Ennis  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2644  

Room Session:Concurrent 2  

Institution:California Institute of Technology  Stanford University  

Deep Learning based Automatic Multi-Regional Segmentation of the Aorta form 4D Flow MRI

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

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2647  

Room Session:Concurrent 2  

Institution:Lurie Childrens Hospital of Chicago  Northwestern Radiology  Northwestern University  

Deep Learning Based ESPIRiT Reconstruction for Highly Accelerated 2D Phase Contrast MRI

Author:Julio Oscanoa  Matthew Middione  Christopher Sandino  Shreyas Vasanawala  Daniel Ennis  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2645  

Room Session:Concurrent 2  

Institution:Stanford University  

Deep Learning for MR Vessel Wall Imaging: Automated Detection of arterial vessel wall and plaque

Author:Wenjing Xu  Xiong Yang  Yikang Li  Jin Fang  Guihua Jiang  Shuheng Zhang  Yanqun Teng  Xiaomin Ren  Lele Zhao  Jiayu Zhu  Qiang He  Hairong Zheng  Xin Liu  Na Zhang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2642  

Room Session:Concurrent 2  

Institution:CAS key laboratory of health informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  Department of Radiology, Guangdong Second Provincial General Hospital  Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  Shanghai United Imaging Healthcare Co., Ltd.  Faculty of Information Technology, Beijing University of Technology  Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  

Deep Learning-Based ESPIRiT Reconstruction for Accelerated 2D Phase Contrast MRI: Analysis of the Impactof Reconstruction Induced Phase Errors

Author:Matthew Middione  Julio Oscanoa  Michael Loecher  Christopher Sandino  Shreyas Vasanawala  Daniel Ennis  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2658  

Room Session:Concurrent 2  

Institution:Stanford University  

Deep learning-based reconstruction for 3D coronary MR angiography with a 3D variational neural network (3D-VNN)

Author:Ioannis Valasakis  Haikun Qi  Kerstin Hammernik  Gastao Cruz  Daniel Rueckert  Claudia Prieto  Rene Botnar  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2660  

Room Session:Concurrent 2  

Institution:Imperial College London  King's College London  Technical University of Munich  

Deep phenotyping of individuals with arrhythmogenic cardiomyopathy-associated genetic variants using myocardial T1 and T2 mapping

Author:Eric Carruth  Samuel Fielden  Amro Alsaid  Brandon Fornwalt  Christopher Haggerty  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2639  

Room Session:Concurrent 2  

Institution:Geisinger  

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  

Deep-Learning epicardial fat quantification using 4-chambers Cardiac MRI segmentation, comparison with total epicardial fat volume

Author:Pierre Daudé  Patricia Ancel  Sylviane Confort-Gouny  Anne Dutour  Bénédicte Gaborit  Stanislas Rapacchi  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2648  

Room Session:Concurrent 2  

Institution:Aix-Marseille Univ, CNRS, CRMBM  APHM, Hôpital Universitaire Timone, Service d’Endocrinologie  

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  

Differentiation between cardiac amyloidosis and hypertrophic cardiomyopathy by texture analysis of T2-weighted CMR imaging

Author:Shan Huang  Yuan Li  Ke Shi  Yi Zhang  Ying-kun Guo  Zhi-gang Yang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2672  

Room Session:Concurrent 2  

Institution:West China Hospital  West China Second University Hospital  

End-to-end Motion Corrected Reconstruction using Deep Learning for Accelerated Free-breathing Cardiac MRI

Author:Haikun Qi  Gastao Cruz  Thomas Kuestner  Karl Kunze  Radhouene Neji  René Botnar  Claudia Prieto  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2653  

Room Session:Concurrent 2  

Institution:King's College London  Siemens Healthcare Limited  

Evaluation of a Deep Learning reconstruction framework for three-dimensional cardiac imaging

Author:Gaspar Delso  Marc Lebel  Suryanarayanan Kaushik  Graeme McKinnon  Paz Garre  Pere Pujol  Daniel Lorenzatti  José Ortiz  Susanna Prat  Adelina Doltra  Rosario Perea  Teresa Caralt  Lluis Mont  Marta Sitges  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2668  

Room Session:Concurrent 2  

Institution:GE Healthcare  Hospital Clínic de Barcelona  

Exercise Effect in Human Brain Evaluated by 3D SWI Depiction of Lenticulostriate Artery with Denoising Deep Learning Reconstruction and 3D pCASL.

Author:Vadim Malis  Won Bae  Asako Yamamoto  Yoshimori Kassai  Marin McDonald  Mitsue Miyazaki  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2646  

Room Session:Concurrent 2  

Institution:Canon Medical  UC San Diego  

Exploring feature space of MR vessel images with limited data annotations through metric learning and episodic training

Author:Kaiyue Tao  Li Chen  Niranjan Balu  Gador Canton  Wenjin Liu  Thomas Hatsukami  Chun Yuan  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2659  

Room Session:Concurrent 2  

Institution:University of Science and Technology of China  University of Washington  

Fast personalization of cardiac mechanical models using parametric physics informed neural networks

Author:Stefano Buoso  Thomas Joyce  Sebastian Kozerke  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2650  

Room Session:Concurrent 2  

Institution:ETH Zurich  

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  

Fully Automated Myocardium Strain Analysis using Deep Learning

Author:Xiao Chen  Masoud Edalati  Qi Liu  Xingxian Shou  Abhishek Sharma  Mary Watkins  Daniel Lenihan  Linzhi Hu  Gregory Lanza  Terrence Chen  Shanhui Sun  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2657  

Room Session:Concurrent 2  

Institution:UIH America, Inc.  United Imaging Intelligence  Washington University School of Medicine  

Fully automatic extraction of mitral valve annulus motion parameters on long axis CINE CMR using deep learning

Author:Maria Monzon  Seung Su Yoon  Carola Fischer  Andreas Maier  Jens Wetzl  Daniel Giese  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2664  

Room Session:Concurrent 2  

Institution:Friedrich-Alexander-Universität Erlangen-Nürnberg  Magnetic Resonance, Siemens Healthcare GmbH  

Generalizability and Robustness of an Automated Deep Learning System for Cardiac MRI Plane Prescription

Author:Kevin Blansit  Tara Retson  Naeim Bahrami  Phillip Young  Christopher Francois  Lewis Hahn  Michael Horowitz  Seth Kligerman  Albert Hsiao  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2661  

Room Session:Concurrent 2  

Institution:GE Healthcare  Mayo Clinic  UC San Diego  Mayo  

Identification of Hemodynamic Biomarkers for Bicuspid Aortic Valve Patients using Machine Learning

Author:Pamela Franco  Julio Sotelo  Lydia Dux-Santoy  Andrea Guala  Aroa Ruiz-Muñoz  Arturo Evangelista  José Rodríguez-Palomares  Sergio Uribe  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2649  

Room Session:Concurrent 2  

Institution:Pontificia Universidad Católica de Chile  Universitat Autònoma de Barcelona  Millennium Nucleus for Cardiovascular Magnetic Resonance  Universidad de Valparaíso  

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  

Improvingautomated aneurysm detection on multi-site MRA data: lessons learnt from a public machine learning challenge

Author:Tommaso Di Noto  Guillaume Marie  Sebastien Tourbier  Yasser Alemán-Gómez  Oscar Esteban  Guillaume Saliou  Meritxell Bach Cuadra  Patric Hagmann  Jonas Richiardi  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2655  

Room Session:Concurrent 2  

Institution:Lausanne University Hospital and University of Lausanne  Center for Psychiatric Neuroscience, Lausanne University Hospital and University of Lausanne  Medical Image Analysis Laboratory (MIAL), Centre d’Imagerie BioMédicale (CIBM)  

Intracranial aneurysm segmentation using a deep convolutional neural network

Author:Miaoqi Zhang  Qingchu Jin  Mingzhu Fu  Hanyu Wei  Rui Li  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2665  

Room Session:Concurrent 2  

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

Isovolumic Relaxation Time and e' Metrics Evaluated by Deep-learning Analysis of Long-axis Cine: Correlations to Atrial Pressure and Fibrosis

Author:Dana Peters  Jérôme Lamy  Felicia Seemann  Einar Heiberg  Ricardo Gonzales  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2637  

Room Session:Concurrent 2  

Institution:Lund University  National Institutes of Health  Yale Unversity  

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  

A Machine Learning Approach for Predicting cardiovascular event in HCM patient on Cardiac MRI

Author:kankan hao  Yanjie Zhu  Dong Liang  shihua zhao  Xin Liu  Hairong Zheng  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2643  

Room Session:Concurrent 2  

Institution:Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Peking Union Medical College  Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  University of Chinese Academy of Sciences  

Myocardial T2-weighted black-blood imaging with a deep learning constrained Compressed SENSE reconstruction

Author:KOHEI YUDA  Takashige Yoshida  Yuki Furukawa  Masami Yoneyama  Jihun Kwon  Nobuo Kawauchi  Johannes M. Peeters  Marc Van Cauteren  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2667  

Room Session:Concurrent 2  

Institution:Philips Healthcare, Best, Netherlands  Philips Japan, Tokyo, Japan  Tokyo Metropolitan Police Hospital  

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  

Probing the Feasibility and Performance of Super-Resolution Head and Neck MRA Using Deep Machine Learning

Author:Ioannis Koktzoglou  Rong Huang  William Ankenbrandt  Matthew Walker  Robert Edelman  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2663  

Room Session:Concurrent 2  

Institution:Northshore University HealthSystem  Northwestern University Feinberg School of Medicine  University of Chicago Pritzker School of Medicine  

PS-VN:integrating deep learning into model-based algorithm for accelerated reconstructionof real-time cardiac MR imaging

Author:Zhongsen Li  Hanyu Wei  Chuyu Liu  Yichen Zheng  Shuo Chen  Rui Li  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2651  

Room Session:Concurrent 2  

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

Reduction of contrast agent dose in cardiovascular MR angiography using deep learning

Author:Javier Montalt-Tordera  Michael Quail  Jennifer Steeden  Vivek Muthurangu  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2654  

Room Session:Concurrent 2  

Institution:University College London  

Respiratory motion in DENSE MRI: Introduction of a new motion model and use of deep learning for motion correction

Author:Mohamad Abdi  Daniel Weller  Frederick Epstein  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2670  

Room Session:Concurrent 2  

Institution:University of Virginia  

Sensitivity of a Deep Learning Model for Multi-Sequence Cardiac Pathology Segmentation to Input Data Transformations

Author:Markus Ankenbrand  Liliya Shainberg  Michael Hock  David Lohr  Laura Schreiber  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2652  

Room Session:Concurrent 2  

Institution:University Hospital Würzburg  

Unsupervised Tag Removal in Cardiac Tagged MRI using Robust Variational Autoencoder

Author:Botian Xu  John Wood  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging I  

Program Number:2640  

Room Session:Concurrent 2  

Institution:University of Southern California  Children's Hospital Los Angeles  

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