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AH33: Machine Learning in Cardiovascular and ECMO Research
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Presentations | ||||||
9:15am - 9:35am
Challenges in data and AI: The clinician's perspective University Hospital RWTH Aachen, Germany 9:35am - 9:45am
Deep Learning-Based Koopman Analysis for the Prediction of Multi-Beat Cardiovascular Dynamics 1Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria; 2Department of Computer Science, Technical University Darmstadt, Germany; 3Ludwig Boltzmann Institute for Cardiovascular Research, Austria; 4Austrian Institute for Tissue Regeneration, Austria; 5Fraunhofer Institute for Computer Graphics Research IGD, Germany
9:45am - 9:55am
ECMO PAL V-V: DEEP NEURAL NETWORK FOR VENOVENOUS ECMO PROGNOSTICATION 1Advanced Cardiorespiratory Engineering Laboratory, Australia; 2Queensland University of Technology, Australia; 3Alfred Hospital, Australia; 4University of Michigan, USA; 5Johns Hopkins University, USA; 6Monash University, Australia
9:55am - 10:05am
Automatic Heart Disease Prediction using Modal Decomposition and Masked Autoencoders for Limited Echocardiography Databases 1ETSI Aeronáutica y del Espacio, Universidad Politécnica de Madrid, 28040, Madrid, Spain; 2ETSI Telecomunicación, Universidad Politécnica de Madrid, 28040, Madrid, Spain; 3Centro Nacional de Investigaciones Cardiovasculares (CNIC), 28029, Madrid, Spain; 4Facultad de Veterinaria – Universidad Complutense de Madrid, 28040, Madrid, Spain;; 5Center for Computational Simulation (CCS), 28660, Boadilla del Monte, Spain
10:05am - 10:15am
Virtual Patient Data Generator: Synthetic ECMO Data for Enhanced Medical Device Development 1Department of Cardiovascular Engineering, Institute of Applied Medical Engineering, Helmholtz Institute, RWTH Aachen University, Germany; 2ARDS and ECMO Centre Cologne-Merheim, Dept. of Pneumology and Critical Care Medicine, Kliniken der Stadt Köln gGmbH, Witten/Herdecke University, Germany; 3Institute for Computational Biomedicine II, University Hospital Aachen, RWTH Aachen University, Germany
10:15am - 10:25am
Rabbit to Human: Transfer Learning for ECG Delineation 1Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria; 2Ludwig Boltzmann Institute for Cardiovascular Research, Austria; 3The BioRobotics Institute, Scuola Superiore Sant’Anna, Italy; 4Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Italy; 5Interdisciplinary Research Center Health Science, Scuola Superiore Sant'Anna, Italy; 6Department of Cardiac Surgery, Medical University of Vienna, Austria; 7Austrian Cluster for Tissue Regeneration, Austria
10:25am - 10:35am
INTEGRATING CFD AND DEEP LEARNING FOR ENHANCED HEMODYNAMIC PREDICTIONS IN THE LEFT VENTRICLE 1Universidad Politécnica de Madrid, Spain; 2Harvard University, United States
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