DeepECG: Towards 3-D Continuous Cardiac MRI without ECG-Gating - Deep Learning based R-Wave Classification for Automated Cardiac Phase Binning
Hoppe E, Wetzl J, Yoon SS, Schneider M, Stimpel B, Preuhs A, Maier A (2020)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2020
Event location: Sydney
Authors with CRIS profile
Elisabeth Hoppe
Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)
Seung Su Yoon
Lehrstuhl für Informatik 5 (Mustererkennung)
Manuel Schneider
Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)
Bernhard Stimpel
Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)
Alexander Preuhs
Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)
Andreas Maier
Lehrstuhl für Informatik 5 (Mustererkennung)
Involved external institutions
Germany (DE)How to cite
APA:
Hoppe, E., Wetzl, J., Yoon, S.S., Schneider, M., Stimpel, B., Preuhs, A., & Maier, A. (2020). DeepECG: Towards 3-D Continuous Cardiac MRI without ECG-Gating - Deep Learning based R-Wave Classification for Automated Cardiac Phase Binning. In Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition. Sydney, AU.
MLA:
Hoppe, Elisabeth, et al. "DeepECG: Towards 3-D Continuous Cardiac MRI without ECG-Gating - Deep Learning based R-Wave Classification for Automated Cardiac Phase Binning." Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition, Sydney 2020.
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