Fully automatic AI-based extraction of mitral valve motion parameters on long axis CINE images – validation and application on N=2000 patient datasets

Yoon SS, Fischer C, Toupin S, Pezel T, Garot J, Wetzl J, Maier A, Giese D (2022)

Publication Type: Conference contribution, Abstract of lecture

Publication year: 2022

Event location: Fort Lauderdale US

Authors with CRIS profile

Seung Su Yoon Lehrstuhl für Informatik 5 (Mustererkennung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung) Daniel Giese

Involved external institutions

Institut Cardiovasculaire Paris Sud (ICPS) FR France (FR) Siemens AG, Healthcare Sector DE Germany (DE) Technische Universität Berlin DE Germany (DE)

How to cite

APA:

Yoon, S.S., Fischer, C., Toupin, S., Pezel, T., Garot, J., Wetzl, J.,... Giese, D. (2022). Fully automatic AI-based extraction of mitral valve motion parameters on long axis CINE images – validation and application on N=2000 patient datasets. Paper presentation at Society for Cardiovascular Magnetic Resonance 25th Annual Scientific Sessions, Fort Lauderdale, US.

MLA:

Yoon, Seung Su, et al. "Fully automatic AI-based extraction of mitral valve motion parameters on long axis CINE images – validation and application on N=2000 patient datasets." Presented at Society for Cardiovascular Magnetic Resonance 25th Annual Scientific Sessions, Fort Lauderdale 2022.

BibTeX: Download