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Applications of Machine Learning in Clinical Cardiovascular MRI

Author:Albert Hsiao  

Institution:University of California, San Diego  

Session Type:Combined Educational & Scientific Session  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning and Tissue Characterisation in CMR  

Session Name:Machine Learning in Cardiovascular Imaging  

Program Number:

Room Live Q&A Session:Wednesday Parallel 1  

    Cardiac Tag Tracking with Deep Learning Trained with Comprehensive Synthetic Data Generation

    Author:Michael Loecher  Luigi Perotti  Daniel Ennis  

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

    Session Type:Combined Educational & Scientific Session  

    Session Live Q&A Date:Wednesday, 12 August 2020  

    Topic:Machine Learning and Tissue Characterisation in CMR  

    Session Name:Machine Learning in Cardiovascular Imaging  

    Program Number:0771  

    Room Live Q&A Session:Wednesday Parallel 1  

    Deep Learning-based Strain Quantification from CINE Cardiac MRI

    Author:Teodora Chitiboi  Bogdan Georgescu  Jens Wetzl  Indraneel Borgohain  Christian Geppert  Stefan Piechnik  Stefan Neubauer  Steffen Petersen  Puneet Sharma  

    Institution:Queen Mary University of London  Siemens Healthcare  Siemens Healthineers  University of Oxford  

    Session Type:Combined Educational & Scientific Session  

    Session Live Q&A Date:Wednesday, 12 August 2020  

    Topic:Machine Learning and Tissue Characterisation in CMR  

    Session Name:Machine Learning in Cardiovascular Imaging  

    Program Number:0772  

    Room Live Q&A Session:Wednesday Parallel 1  

    Leveraging Anatomical Similarity for Unsupervised Model Learning and Synthetic MR Data Generation

    Author:Thomas Joyce  Sebastian Kozerke  

    Institution:University and ETH Zurich  

    Session Type:Combined Educational & Scientific Session  

    Session Live Q&A Date:Wednesday, 12 August 2020  

    Topic:Machine Learning and Tissue Characterisation in CMR  

    Session Name:Machine Learning in Cardiovascular Imaging  

    Program Number:0773  

    Room Live Q&A Session:Wednesday Parallel 1  

    Machine Learning & Future Clinical Practice in Cardiovascular MRI

    Author:Claudia Prieto  

    Institution:King's College London  

    Session Type:Combined Educational & Scientific Session  

    Session Live Q&A Date:Wednesday, 12 August 2020  

    Topic:Machine Learning and Tissue Characterisation in CMR  

    Session Name:Machine Learning in Cardiovascular Imaging  

    Program Number:

    Room Live Q&A Session:Wednesday Parallel 1  

      A Multi-Scale Variational Neural Network for accelerating bright- and black-blood 3D whole-heart MRI in patients with congenital heart disease

      Author:Niccolo Fuin  Giovanna Nordio  Thomas Kuestner  Radhouene Neji  Karl Kunze  Yaso Emmanuel  Alessandra Frigiola  Rene Botnar  Claudia Prieto  

      Institution:Guy’s and St Thomas’ Hospital, NHS Foundation Trust  King's College London  Siemens Healthcare Limited  Pontificia Universidad Católica de Chile  

      Session Type:Combined Educational & Scientific Session  

      Session Live Q&A Date:Wednesday, 12 August 2020  

      Topic:Machine Learning and Tissue Characterisation in CMR  

      Session Name:Machine Learning in Cardiovascular Imaging  

      Program Number:0770  

      Room Live Q&A Session:Wednesday Parallel 1  

      Rapid Whole-Heart CMR with Single Volume Super-Resolution

      Author:Jennifer Steeden  Michael Quail  Alexander Gotschy  Andreas Hauptmann  Rodney Jones  Vivek Muthurangu  

      Institution:Great Ormond Street Hospital  University College London  Institute for Biomedical Engineering  University of Oulu  

      Session Type:Combined Educational & Scientific Session  

      Session Live Q&A Date:Wednesday, 12 August 2020  

      Topic:Machine Learning and Tissue Characterisation in CMR  

      Session Name:Machine Learning in Cardiovascular Imaging  

      Program Number:0769  

      Room Live Q&A Session:Wednesday Parallel 1