Validation of a Deep Learning based Automated Myocardial Inversion Time Selection for Late Gadolinium Enhancement Imaging in a Prospective Study

Yoon SS, Schmidt M, Rick M, Chitiboi T, Sharma P, Emrich T, Tillmanns C, Waßmuth R, Wetzl J, Maier A (2021)

Publication Type: Conference contribution, Abstract of lecture

Publication year: 2021

Event location: Virtual

URI: https://index.mirasmart.com/ISMRM2021/PDFfiles/0452.html

Authors with CRIS profile

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

Involved external institutions

Siemens Corporate Research US United States (USA) (US) Siemens AG, Healthcare Sector DE Germany (DE)

How to cite

APA:

Yoon, S.S., Schmidt, M., Rick, M., Chitiboi, T., Sharma, P., Emrich, T.,... Maier, A. (2021). Validation of a Deep Learning based Automated Myocardial Inversion Time Selection for Late Gadolinium Enhancement Imaging in a Prospective Study. Paper presentation at International Society for Magnetic Resonance in Medicine (ISMRM) 29th Annual Meeting & Exhibition, Virtual.

MLA:

Yoon, Seung Su, et al. "Validation of a Deep Learning based Automated Myocardial Inversion Time Selection for Late Gadolinium Enhancement Imaging in a Prospective Study." Presented at International Society for Magnetic Resonance in Medicine (ISMRM) 29th Annual Meeting & Exhibition, Virtual 2021.

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