X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery

Bier B, Unberath M, Zaech JN, Fotouhi J, Armand M, Osgood G, Navab N, Maier A (2018)

Publication Type: Conference contribution

Publication year: 2018

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: SPRINGER INTERNATIONAL PUBLISHING AG

City/Town: CHAM

Pages Range: 55-63

Conference Proceedings Title: MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT IV

Event location: Granada ES

DOI: 10.1007/978-3-030-00937-3_7

Authors with CRIS profile

Bastian Bier Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Johns Hopkins University (JHU) US United States (USA) (US) Johns Hopkins Hospital US United States (USA) (US)

How to cite

APA:

Bier, B., Unberath, M., Zaech, J.-N., Fotouhi, J., Armand, M., Osgood, G.,... Maier, A. (2018). X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery. In MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT IV (pp. 55-63). Granada, ES: CHAM: SPRINGER INTERNATIONAL PUBLISHING AG.

MLA:

Bier, Bastian, et al. "X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery." Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada CHAM: SPRINGER INTERNATIONAL PUBLISHING AG, 2018. 55-63.

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