Efficient Patient Orientation Detection in Videofluoroscopy Swallowing Studies

Neubig L, Groh R, Kunduk M, Larsen D, Leonard R, Kist A (2022)

Publication Type: Conference contribution

Publication year: 2022

Journal

Informatik aktuell Gesellschaft für Informatik (GI)

Publisher: Springer Science and Business Media Deutschland GmbH

Pages Range: 129-134

Conference Proceedings Title: Informatik aktuell

Event location: Heidelberg, DEU

ISBN: 9783658369316

DOI: 10.1007/978-3-658-36932-3_29

Authors with CRIS profile

Luisa Neubig Juniorprofessur für Artificial Intelligence in Communication Disorders René Groh Juniorprofessur für Artificial Intelligence in Communication Disorders Andreas Kist Juniorprofessur für Artificial Intelligence in Communication Disorders

Involved external institutions

Louisiana State University US United States (USA) (US) University of California Davis (UCDAVIS) US United States (USA) (US)

How to cite

APA:

Neubig, L., Groh, R., Kunduk, M., Larsen, D., Leonard, R., & Kist, A. (2022). Efficient Patient Orientation Detection in Videofluoroscopy Swallowing Studies. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 129-134). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.

MLA:

Neubig, Luisa, et al. "Efficient Patient Orientation Detection in Videofluoroscopy Swallowing Studies." Proceedings of the German Workshop on Medical Image Computing, 2022, Heidelberg, DEU Ed. Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff, Springer Science and Business Media Deutschland GmbH, 2022. 129-134.

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