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For: Maier-Hein L, Eisenmann M, Sarikaya D, März K, Collins T, Malpani A, Fallert J, Feussner H, Giannarou S, Mascagni P, Nakawala H, Park A, Pugh C, Stoyanov D, Vedula SS, Cleary K, Fichtinger G, Forestier G, Gibaud B, Grantcharov T, Hashizume M, Heckmann-Nötzel D, Kenngott HG, Kikinis R, Mündermann L, Navab N, Onogur S, Roß T, Sznitman R, Taylor RH, Tizabi MD, Wagner M, Hager GD, Neumuth T, Padoy N, Collins J, Gockel I, Goedeke J, Hashimoto DA, Joyeux L, Lam K, Leff DR, Madani A, Marcus HJ, Meireles O, Seitel A, Teber D, Ückert F, Müller-Stich BP, Jannin P, Speidel S. Surgical data science - from concepts toward clinical translation. Med Image Anal 2021;76:102306. [PMID: 34879287 DOI: 10.1016/j.media.2021.102306] [Cited by in Crossref: 12] [Cited by in F6Publishing: 9] [Article Influence: 12.0] [Reference Citation Analysis]
Number Citing Articles
1 Zhang S, Li J, Zhang W, Qin Y. Hyper-Class Representation of Data. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.06.082] [Reference Citation Analysis]
2 Müller LR, Petersen J, Yamlahi A, Wise P, Adler TJ, Seitel A, Kowalewski KF, Müller B, Kenngott H, Nickel F, Maier-Hein L. Robust hand tracking for surgical telestration. Int J Comput Assist Radiol Surg 2022. [PMID: 35624404 DOI: 10.1007/s11548-022-02637-9] [Reference Citation Analysis]
3 Conradi LC, Ghadimi M. [Oncological surgery in the interdisciplinary context-On the way to personalized medicine]. Chirurg 2022. [PMID: 35201386 DOI: 10.1007/s00104-022-01614-x] [Reference Citation Analysis]
4 Boese A, Wex C, Croner R, Liehr UB, Wendler JJ, Weigt J, Walles T, Vorwerk U, Lohmann CH, Friebe M, Illanes A. Endoscopic Imaging Technology Today. Diagnostics 2022;12:1262. [DOI: 10.3390/diagnostics12051262] [Reference Citation Analysis]
5 Sanchez-Matilla R, Robu M, Grammatikopoulou M, Luengo I, Stoyanov D. Data-centric multi-task surgical phase estimation with sparse scene segmentation. Int J Comput Assist Radiol Surg 2022. [PMID: 35505149 DOI: 10.1007/s11548-022-02616-0] [Reference Citation Analysis]
6 Lam K, Abràmoff MD, Balibrea JM, Bishop SM, Brady RR, Callcut RA, Chand M, Collins JW, Diener MK, Eisenmann M, Fermont K, Neto MG, Hager GD, Hinchliffe RJ, Horgan A, Jannin P, Langerman A, Logishetty K, Mahadik A, Maier-Hein L, Antona EM, Mascagni P, Mathew RK, Müller-Stich BP, Neumuth T, Nickel F, Park A, Pellino G, Rudzicz F, Shah S, Slack M, Smith MJ, Soomro N, Speidel S, Stoyanov D, Tilney HS, Wagner M, Darzi A, Kinross JM, Purkayastha S. A Delphi consensus statement for digital surgery. NPJ Digit Med 2022;5:100. [PMID: 35854145 DOI: 10.1038/s41746-022-00641-6] [Reference Citation Analysis]
7 Haidegger T, Speidel S, Stoyanov D, Satava RM. Robot-Assisted Minimally Invasive Surgery—Surgical Robotics in the Data Age. Proc IEEE 2022;110:835-46. [DOI: 10.1109/jproc.2022.3180350] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Vedula SS, Ghazi A, Collins JW, Pugh C, Stefanidis D, Meireles O, Hung AJ, Schwaitzberg S, Levy JS, Sachdeva AK; and the Collaborative for Advanced Assessment of Robotic Surgical Skills. Artificial Intelligence Methods and Artificial Intelligence-Enabled Metrics for Surgical Education: A Multidisciplinary Consensus. J Am Coll Surg 2022;234:1181-92. [PMID: 35703817 DOI: 10.1097/XCS.0000000000000190] [Reference Citation Analysis]
9 Moglia A, Georgiou K, Morelli L, Toutouzas K, Satava RM, Cuschieri A. Breaking down the silos of artificial intelligence in surgery: glossary of terms. Surg Endosc 2022. [PMID: 35729406 DOI: 10.1007/s00464-022-09371-y] [Reference Citation Analysis]