A Robust Deep-Learning-based Automated Cardiac Resting Phase Detection: Validation in a Prospective Study

Yoon SS, Hoppe E, Schmidt M, Forman C, Chitiboi T, Sharma P, Tillmanns C, Maier A, Wetzl J (2020)

Publication Type: Conference contribution, Abstract of a poster

Publication year: 2020

Event location: Sydney AU

Authors with CRIS profile

Seung Su Yoon Lehrstuhl für Informatik 5 (Mustererkennung) Elisabeth Hoppe Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

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

How to cite

APA:

Yoon, S.S., Hoppe, E., Schmidt, M., Forman, C., Chitiboi, T., Sharma, P.,... Wetzl, J. (2020). A Robust Deep-Learning-based Automated Cardiac Resting Phase Detection: Validation in a Prospective Study. Poster presentation at International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition, Sydney, AU.

MLA:

Yoon, Seung Su, et al. "A Robust Deep-Learning-based Automated Cardiac Resting Phase Detection: Validation in a Prospective Study." Presented at International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition, Sydney 2020.

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