Suche

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)
(P643)
Detection of myocardial ischemia using convolutional neural network (CNN) on magnetic resonance perfusion images
D. Felbel (Ulm)
(P644)
Natural shear waves after mitral valve closure and how their timing influences their relationship with left ventricular hemodynamics
K. Papangelopoulou (Leuven)
(P645)
Development of an In Silico Simulation Tool for Personalized Stent Interventions
P. Nilcham (Aachen)
(P646)
Utilizing Optoacoustic Tomography to Measure Transmembrane Voltage
F. Flath (Freiburg im Breisgau)
(P647)
Effect of Optogenetic Defibrillation on Cardiac Electrophysiology in Health and Ischemia
S. Ohnemus (Freiburg im Breisgau)
(P648)
Yolk-sac derived macrophages contribute to the adaptive response of the neonatal mouse heart to pressure overload
M. R. Djabour (Bonn)
Diese Seite teilen