Conference Agenda

Session
AH33: Machine Learning in Cardiovascular and ECMO Research
Time:
Wednesday, 11/Sept/2024:
9:15am - 10:45am

Session Chair: Simon Sonntag
Session Chair: Jana Korte
Session Chair: Michael Neidlin
Location: K1


Presentations
9:15am - 9:35am

Challenges in data and AI: The clinician's perspective

Sebastian Fritsch

University Hospital RWTH Aachen, Germany



9:35am - 9:45am

Deep Learning-Based Koopman Analysis for the Prediction of Multi-Beat Cardiovascular Dynamics

Lars Berend Brandt1,2, Francesco Moscato1,3,4, Max Haberbusch2,5, Arjan Kuijper1,3

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

129.pdf


9:45am - 9:55am

ECMO PAL V-V: DEEP NEURAL NETWORK FOR VENOVENOUS ECMO PROGNOSTICATION

Andrew Stephens1,2, Michael Seman1,2, Arne Diehl3, David Pilcher3, Vincent Pellegrino3, Ryan Barbaro4, Daniel Brodie5, Shaun Gregory1,2, Carol Hodgson6

1Advanced Cardiorespiratory Engineering Laboratory, Australia; 2Queensland University of Technology, Australia; 3Alfred Hospital, Australia; 4University of Michigan, USA; 5Johns Hopkins University, USA; 6Monash University, Australia

147.pdf


9:55am - 10:05am

Automatic Heart Disease Prediction using Modal Decomposition and Masked Autoencoders for Limited Echocardiography Databases

Andrés Bell-Navas1, Nourelhouda Groun1,2, María Villalba-Orero3,4, Enrique Lara-Pezzi3, Jesús Garicano-Mena1,5, Soledad Le Clainche1,5

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

172.pdf


10:05am - 10:15am

Virtual Patient Data Generator: Synthetic ECMO Data for Enhanced Medical Device Development

Micha Landoll1,2,3, Yifei Huang1, Ulrich Steinseifer1, Stephan Strassmann2, Christian Karagiannidis2, Michael Neidlin1

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

206.pdf


10:15am - 10:25am

Rabbit to Human: Transfer Learning for ECG Delineation

Milica Ilic1, Laurenz Berger1,2, Max Haberbusch1,2, Lisa Aurora Bernardo3, Laura Galassi3,4, Calogero Oddo3,4,5, Theodor Abart6, Thomas Schlöglhofer1,2,6, Julia Riebandt6, Daniel Zimpfer6, Francesco Moscato1,2,7

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

227.pdf


10:25am - 10:35am

INTEGRATING CFD AND DEEP LEARNING FOR ENHANCED HEMODYNAMIC PREDICTIONS IN THE LEFT VENTRICLE

Eneko Lazpita1, Petros Koumoutsakos2, Jesús Garicano-Mena1, Soledad Le Clainche1

1Universidad Politécnica de Madrid, Spain; 2Harvard University, United States

234.pdf