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Page 1
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition.
Nwoye CI, Alapatt D, Yu T, Vardazaryan A, Xia F, Zhao Z, Xia T, Jia F, Yang Y, Wang H, Yu D, Zheng G, Duan X, Getty N, Sanchez-Matilla R, Robu M, Zhang L, Chen H, Wang J, Wang L, Zhang B, Gerats B, Raviteja S, Sathish R, Tao R, Kondo S, Pang W, Ren H, Abbing JR, Sarhan MH, Bodenstedt S, Bhasker N, Oliveira B, Torres HR, Ling L, Gaida F, Czempiel T, Vilaça JL, Morais P, Fonseca J, Egging RM, Wijma IN, Qian C, Bian G, Li Z, Balasubramanian V, Sheet D, Luengo I, Zhu Y, Ding S, Aschenbrenner JA, van der Kar NE, Xu M, Islam M, Seenivasan L, Jenke A, Stoyanov D, Mutter D, Mascagni P, Seeliger B, Gonzalez C, Padoy N. Nwoye CI, et al. Among authors: bodenstedt s. Med Image Anal. 2023 May;86:102803. doi: 10.1016/j.media.2023.102803. Epub 2023 Mar 27. Med Image Anal. 2023. PMID: 37004378
Active learning using deep Bayesian networks for surgical workflow analysis.
Bodenstedt S, Rivoir D, Jenke A, Wagner M, Breucha M, Müller-Stich B, Mees ST, Weitz J, Speidel S. Bodenstedt S, et al. Int J Comput Assist Radiol Surg. 2019 Jun;14(6):1079-1087. doi: 10.1007/s11548-019-01963-9. Epub 2019 Apr 9. Int J Comput Assist Radiol Surg. 2019. PMID: 30968355
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge.
Roß T, Reinke A, Full PM, Wagner M, Kenngott H, Apitz M, Hempe H, Mindroc-Filimon D, Scholz P, Tran TN, Bruno P, Arbeláez P, Bian GB, Bodenstedt S, Bolmgren JL, Bravo-Sánchez L, Chen HB, González C, Guo D, Halvorsen P, Heng PA, Hosgor E, Hou ZG, Isensee F, Jha D, Jiang T, Jin Y, Kirtac K, Kletz S, Leger S, Li Z, Maier-Hein KH, Ni ZL, Riegler MA, Schoeffmann K, Shi R, Speidel S, Stenzel M, Twick I, Wang G, Wang J, Wang L, Wang L, Zhang Y, Zhou YJ, Zhu L, Wiesenfarth M, Kopp-Schneider A, Müller-Stich BP, Maier-Hein L. Roß T, et al. Among authors: bodenstedt s. Med Image Anal. 2021 May;70:101920. doi: 10.1016/j.media.2020.101920. Epub 2020 Nov 28. Med Image Anal. 2021. PMID: 33676097 Free article.
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark.
Wagner M, Müller-Stich BP, Kisilenko A, Tran D, Heger P, Mündermann L, Lubotsky DM, Müller B, Davitashvili T, Capek M, Reinke A, Reid C, Yu T, Vardazaryan A, Nwoye CI, Padoy N, Liu X, Lee EJ, Disch C, Meine H, Xia T, Jia F, Kondo S, Reiter W, Jin Y, Long Y, Jiang M, Dou Q, Heng PA, Twick I, Kirtac K, Hosgor E, Bolmgren JL, Stenzel M, von Siemens B, Zhao L, Ge Z, Sun H, Xie D, Guo M, Liu D, Kenngott HG, Nickel F, Frankenberg MV, Mathis-Ullrich F, Kopp-Schneider A, Maier-Hein L, Speidel S, Bodenstedt S. Wagner M, et al. Among authors: bodenstedt s. Med Image Anal. 2023 May;86:102770. doi: 10.1016/j.media.2023.102770. Epub 2023 Feb 21. Med Image Anal. 2023. PMID: 36889206 Free article.
Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study.
Brandenburg JM, Jenke AC, Stern A, Daum MTJ, Schulze A, Younis R, Petrynowski P, Davitashvili T, Vanat V, Bhasker N, Schneider S, Mündermann L, Reinke A, Kolbinger FR, Jörns V, Fritz-Kebede F, Dugas M, Maier-Hein L, Klotz R, Distler M, Weitz J, Müller-Stich BP, Speidel S, Bodenstedt S, Wagner M. Brandenburg JM, et al. Among authors: bodenstedt s. Surg Endosc. 2023 Nov;37(11):8577-8593. doi: 10.1007/s00464-023-10447-6. Epub 2023 Oct 14. Surg Endosc. 2023. PMID: 37833509 Free PMC article.
Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data.
Wagner M, Brandenburg JM, Bodenstedt S, Schulze A, Jenke AC, Stern A, Daum MTJ, Mündermann L, Kolbinger FR, Bhasker N, Schneider G, Krause-Jüttler G, Alwanni H, Fritz-Kebede F, Burgert O, Wilhelm D, Fallert J, Nickel F, Maier-Hein L, Dugas M, Distler M, Weitz J, Müller-Stich BP, Speidel S. Wagner M, et al. Among authors: bodenstedt s. Surg Endosc. 2022 Nov;36(11):8568-8591. doi: 10.1007/s00464-022-09611-1. Epub 2022 Sep 28. Surg Endosc. 2022. PMID: 36171451 Free PMC article.
Machine Learning for Surgical Phase Recognition: A Systematic Review.
Garrow CR, Kowalewski KF, Li L, Wagner M, Schmidt MW, Engelhardt S, Hashimoto DA, Kenngott HG, Bodenstedt S, Speidel S, Müller-Stich BP, Nickel F. Garrow CR, et al. Among authors: bodenstedt s. Ann Surg. 2021 Apr 1;273(4):684-693. doi: 10.1097/SLA.0000000000004425. Ann Surg. 2021. PMID: 33201088
50 results