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Disambiguation of "Speidel, Stefanie"

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Machine Learning for Surgical Phase Recognition

, , , , , , , , , , , and . Annals of Surgery, 273 (4): 684--693 (November 2020)
DOI: 10.1097/sla.0000000000004425

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Stefanie Siegert University of Stuttgart

Prof. Dr. -Ing. Joachim Speidel University of Stuttgart

Stefanie Holler University of Stuttgart

Stefanie Ungar University of Stuttgart

Stefanie Reisinger University of Stuttgart

 

Other publications of authors with the same name

From stereo image sequences to smooth and robust surface models using temporal information and Bilateral postprocessing., , , , , , , and . ROBIO, page 544-550. IEEE, (2011)Bildbasierte Darmvermessung für die laparoskopische Chirugie., , , , , , and . CURAC, page 10-13. (2014)Integration einer Biomechanischen Simulation zur Unterstützung von Mitralklappen-Rekonstruktionen in ein Wissensbasiertes Assistenzsystem., , , , , , and . CURAC, page 157-160. (2014)Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge., , , , , , , , , and 14 other author(s). IEEE Trans. Med. Imaging, 36 (6): 1231-1249 (2017)Pose-independent surface matching for intra-operative soft-tissue marker-less registration., , , , , , , , , and 1 other author(s). Medical Image Analysis, 18 (7): 1101-1114 (2014)Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery., , , , , , , , , and 1 other author(s). Medical Image Analysis, 17 (8): 974-996 (2013)LapOntoSPM: an ontology for laparoscopic surgeries and its application to surgical phase recognition., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 10 (9): 1427-1434 (2015)Toward a standard ontology of surgical process models., , , , , , , , , and 10 other author(s). Int. J. Comput. Assist. Radiol. Surg., 13 (9): 1397-1408 (2018)Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (6): 1089-1095 (2019)Exploiting the potential of unlabeled endoscopic video data with self-supervised learning., , , , , , , , , and 3 other author(s). CoRR, (2017)