Automatic Vertebrae Segmentation in Fluoroscopic Images for Electrophysiology

Reiml S, Kurzendorfer T, Toth D, Mountney P, Steidl S, Brost A, Maier A (2017)

Publication Type: Conference contribution

Publication year: 2017

Pages Range: tbd

Conference Proceedings Title: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)

Event location: Atlanta

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Reiml17-AVS.pdf

Authors with CRIS profile

Tanja Kurzendorfer Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Stefan Steidl Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Siemens AG, Healthcare Sector DE Germany (DE) King’s College London GB United Kingdom (GB) Siemens Healthineers DE Germany (DE)

How to cite

APA:

Reiml, S., Kurzendorfer, T., Toth, D., Mountney, P., Steidl, S., Brost, A., & Maier, A. (2017). Automatic Vertebrae Segmentation in Fluoroscopic Images for Electrophysiology. In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) (pp. tbd). Atlanta.

MLA:

Reiml, Sabrina, et al. "Automatic Vertebrae Segmentation in Fluoroscopic Images for Electrophysiology." Proceedings of the 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC), Atlanta 2017. tbd.

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