Programmdetails

Postervorträge

New models and machine learning based analysis

Donnerstag, 24. April | 14:30 - 15:30 Uhr | Posterbereich 26

Vorsitz/Chair: Emmanouil Chavakis (Siegen), Heimo Ehmke (Hamburg)

Agenda

(P642)
Predicting improvement of physical exercise capacity using pulse wave analysis in patients with coronary artery disease using a machine learning approach
H. Schäfer (Witten)
Zum Abstract
(P643)
Detection of myocardial ischemia using convolutional neural network (CNN) on magnetic resonance perfusion images
D. Felbel (Ulm)
Zum Abstract
(P644)
Natural shear waves after mitral valve closure and how their timing influences their relationship with left ventricular hemodynamics
K. Papangelopoulou (Leuven)
Zum Abstract
(P645)
Development of an In Silico Simulation Tool for Personalized Stent Interventions
P. Nilcham (Aachen)
Zum Abstract
(P646)
Utilizing Optoacoustic Tomography to Measure Transmembrane Voltage
F. Flath (Freiburg im Breisgau)
Zum Abstract
(P647)
Effect of Optogenetic Defibrillation on Cardiac Electrophysiology in Health and Ischemia
S. Ohnemus (Freiburg im Breisgau)
Zum Abstract
(P648)
Yolk-sac derived macrophages contribute to the adaptive response of the neonatal mouse heart to pressure overload
M. R. Djabour (Bonn)
Zum Abstract
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