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Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.

T. Roß, D. Zimmerer, A. Vemuri, F. Isensee, M. Wiesenfarth, S. Bodenstedt, F. Both, P. Kessler, M. Wagner, B. Müller, H. Kenngott, S. Speidel, A. Kopp-Schneider, K. Maier-Hein, and L. Maier-Hein. Int. J. Comput. Assist. Radiol. Surg., 13 (6): 925-933 (2018)

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Hannes Eschmann University of Stuttgart

Hannes Mandler University of Stuttgart

Hannes Lauer University of Stuttgart

Hannes Wellmann University of Stuttgart

Hannes Grabmann University of Stuttgart

Other publications of authors with the same name

Optimierte endoskopische Time-of-Flight Oberflächenrekonstruktion durch Integration eines Struktur-durch-Bewegung-Ansatzes.A. Groch, S. Haase, M. Wagner, T. Kilgus, H. Kenngott, H. Schlemmer, J. Hornegger, H. Meinzer, and L. Maier-Hein. Bildverarbeitung für die Medizin, page 39-44. Springer, (2012)Entwicklung eines Navigationssystems für die telemanipulatorgestützte Oesophagektomie.H. Kenngott, J. Neuhaus, C. Gutt, I. Wolf, H. Meinzer, and M. Vetter. Bildverarbeitung für die Medizin, page 331-334. Springer, (2006)Strukturidentifikation mittels Superpixel in der Laparoskopie.S. Bodenstedt, J. Görtler, M. Wagner, H. Kenngott, B. Müller-Stich, R. Dillmann, and S. Speidel. CURAC, page 149-154. (2015)Quantitative Laparoscopy for Bowel Length Measurement in Bariatric Surgery - a Translational Study.M. Wagner, B. Mayer, S. Bodenstedt, S. Speidel, L. Fischer, B. Müller-Stich, and H. Kenngott. CURAC, page 69-70. (2015)Robust near real-time estimation of physiological parameters from megapixel multispectral images with inverse Monte Carlo and random forest regression.S. Wirkert, H. Kenngott, B. Mayer, P. Mietkowski, M. Wagner, P. Sauer, N. Clancy, D. Elson, and L. Maier-Hein. Int. J. Comput. Assist. Radiol. Surg., 11 (6): 909-917 (2016)RepliExplore: coupling physical and virtual anatomy models.M. Seitel, L. Maier-Hein, A. Seitel, A. Franz, H. Kenngott, R. Simone, I. Wolf, and H. Meinzer. Int. J. Comput. Assist. Radiol. Surg., 4 (5): 417-424 (2009)Predicting the duration of surgeries to Improve Process Efficiency in Hospitals.M. Riekert, M. Premm, A. Klein, L. Kirilov, H. Kenngott, M. Apitz, M. Wagner, and L. Ternes. ECIS, (2017)Superpixel-based structure classification for laparoscopic surgery.S. Bodenstedt, J. Görtler, M. Wagner, H. Kenngott, B. Müller-Stich, R. Dillmann, and S. Speidel. Medical Imaging: Image-Guided Procedures, volume 9786 of SPIE Proceedings, page 978618. SPIE, (2016)Out of Distribution Detection for Intra-operative Functional Imaging.T. Adler, L. Ayala, L. Ardizzone, H. Kenngott, A. Vemuri, B. Müller-Stich, C. Rother, U. Köthe, and L. Maier-Hein. UNSURE/CLIP@MICCAI, volume 11840 of Lecture Notes in Computer Science, page 75-82. Springer, (2019)Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.T. Roß, D. Zimmerer, A. Vemuri, F. Isensee, M. Wiesenfarth, S. Bodenstedt, F. Both, P. Kessler, M. Wagner, B. Müller and 5 other author(s). Int. J. Comput. Assist. Radiol. Surg., 13 (6): 925-933 (2018)

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Disambiguation of "Kenngott, Hannes"

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Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.

Please choose a person to relate this publication to

Hannes Eschmann University of Stuttgart

Hannes Mandler University of Stuttgart

Hannes Lauer University of Stuttgart

Hannes Wellmann University of Stuttgart

Hannes Grabmann University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Kenngott, Hannes"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.

Please choose a person to relate this publication to

Hannes Eschmann University of Stuttgart

Hannes Mandler University of Stuttgart

Hannes Lauer University of Stuttgart

Hannes Wellmann University of Stuttgart

Hannes Grabmann University of Stuttgart

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Exploiting the potential of unlabeled endoscopic video data with self-supervised learning.