Fully automated Machine Learning-based selection of optimal bSSFP frequency offset for artifact reduction in cardiac MRI

Yoon SS, Gadjimuradov F, Schmidt M, Wetzl J, Maier A (2022)

Publication Type: Conference contribution, Abstract of lecture

Publication year: 2022

Event location: London GB

DOI: 10.1093/ehjci/jeac141.016

Authors with CRIS profile

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

Involved external institutions

Siemens AG, Healthcare Sector DE Germany (DE)

How to cite

APA:

Yoon, S.S., Gadjimuradov, F., Schmidt, M., Wetzl, J., & Maier, A. (2022). Fully automated Machine Learning-based selection of optimal bSSFP frequency offset for artifact reduction in cardiac MRI. Paper presentation at Artificial Intelligence in Cardiovascular Magnetic Resonance Imaging - A Joint Summit of the EACVI and SCMR, London, GB.

MLA:

Yoon, Seung Su, et al. "Fully automated Machine Learning-based selection of optimal bSSFP frequency offset for artifact reduction in cardiac MRI." Presented at Artificial Intelligence in Cardiovascular Magnetic Resonance Imaging - A Joint Summit of the EACVI and SCMR, London 2022.

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