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Surgical data science for next-generation interventions.
Maier-Hein L, Vedula SS, Speidel S, Navab N, Kikinis R, Park A, Eisenmann M, Feussner H, Forestier G, Giannarou S, Hashizume M, Katic D, Kenngott H, Kranzfelder M, Malpani A, März K, Neumuth T, Padoy N, Pugh C, Schoch N, Stoyanov D, Taylor R, Wagner M, Hager GD, Jannin P. Maier-Hein L, et al. Among authors: feussner h. Nat Biomed Eng. 2017 Sep;1(9):691-696. doi: 10.1038/s41551-017-0132-7. Nat Biomed Eng. 2017. PMID: 31015666 Free article. No abstract available.
Recovery of surgical workflow without explicit models.
Ahmadi SA, Sielhorst T, Stauder R, Horn M, Feussner H, Navab N. Ahmadi SA, et al. Among authors: feussner h. Med Image Comput Comput Assist Interv. 2006;9(Pt 1):420-8. doi: 10.1007/11866565_52. Med Image Comput Comput Assist Interv. 2006. PMID: 17354918
A boosted segmentation method for surgical workflow analysis.
Padoy N, Blum T, Essa I, Feussner H, Berger MO, Navab N. Padoy N, et al. Among authors: feussner h. Med Image Comput Comput Assist Interv. 2007;10(Pt 1):102-9. doi: 10.1007/978-3-540-75757-3_13. Med Image Comput Comput Assist Interv. 2007. PMID: 18051049
Feasibility of opto-electronic surgical instrument identification.
Kranzfelder M, Schneider A, Blahusch G, Schaaf H, Feussner H. Kranzfelder M, et al. Among authors: feussner h. Minim Invasive Ther Allied Technol. 2009;18(5):253-8. doi: 10.1080/13645700903053717. Minim Invasive Ther Allied Technol. 2009. PMID: 19591056
Statistical modeling and recognition of surgical workflow.
Padoy N, Blum T, Ahmadi SA, Feussner H, Berger MO, Navab N. Padoy N, et al. Among authors: feussner h. Med Image Anal. 2012 Apr;16(3):632-41. doi: 10.1016/j.media.2010.10.001. Epub 2010 Dec 8. Med Image Anal. 2012. PMID: 21195015
272 results