Neural network-based fully automated cardiac resting phase detection algorithm compared with manual detection in patients

Ogawa R, Kido T, Shiraishi Y, Yagi Y, Yoon SS, Wetzl J, Schmidt M, Kido T (2022)

Publication Type: Journal article

Publication year: 2022

Journal

Acta Radiologica Open SAGE Publishing

Book Volume: 11

Journal Issue: 10

DOI: 10.1177/20584601221137772

Abstract

Background: A cardiac resting phase is used when performing free-breathing cardiac magnetic resonance examinations.

Authors with CRIS profile

Seung Su Yoon Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Ehime University / 愛媛大学 JP Japan (JP) Ehime University Hospital / 愛媛大学医学部附属病院 JP Japan (JP) Siemens AG, Healthcare Sector DE Germany (DE)

How to cite

APA:

Ogawa, R., Kido, T., Shiraishi, Y., Yagi, Y., Yoon, S.S., Wetzl, J.,... Kido, T. (2022). Neural network-based fully automated cardiac resting phase detection algorithm compared with manual detection in patients. Acta Radiologica Open, 11(10). https://dx.doi.org/10.1177/20584601221137772

MLA:

Ogawa, Ryo, et al. "Neural network-based fully automated cardiac resting phase detection algorithm compared with manual detection in patients." Acta Radiologica Open 11.10 (2022).

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