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Cited by in F6Publishing
For: Lavanchy JL, Zindel J, Kirtac K, Twick I, Hosgor E, Candinas D, Beldi G. Automation of surgical skill assessment using a three-stage machine learning algorithm. Sci Rep 2021;11:5197. [PMID: 33664317 DOI: 10.1038/s41598-021-84295-6] [Cited by in Crossref: 13] [Cited by in F6Publishing: 17] [Article Influence: 13.0] [Reference Citation Analysis]
Number Citing Articles
1 Pedrett R, Mascagni P, Beldi G, Padoy N, Lavanchy JL. Technical Skill Assessment in Minimally Invasive Surgery Using Artificial Intelligence: A Systematic Review.. [DOI: 10.1101/2022.11.08.22282058] [Reference Citation Analysis]
2 Nema S, Vachhani L. Surgical instrument detection and tracking technologies: Automating dataset labeling for surgical skill assessment. Front Robot AI 2022;9. [DOI: 10.3389/frobt.2022.1030846] [Reference Citation Analysis]
3 Mascagni P, Alapatt D, Sestini L, Altieri MS, Madani A, Watanabe Y, Alseidi A, Redan JA, Alfieri S, Costamagna G, Boškoski I, Padoy N, Hashimoto DA. Computer vision in surgery: from potential to clinical value. NPJ Digit Med 2022;5:163. [PMID: 36307544 DOI: 10.1038/s41746-022-00707-5] [Reference Citation Analysis]
4 Lavanchy JL, Gonzalez C, Kassem H, Nett PC, Mutter D, Padoy N. Proposal and multicentric validation of a laparoscopic Roux-en-Y gastric bypass surgery ontology. Surg Endosc 2022. [DOI: 10.1007/s00464-022-09745-2] [Reference Citation Analysis]
5 Wlasitsch-nagy Z, Bálint A, Kőnig-péter A, Varga P, Várady E, Bogner P, Gasz B. New CFD-based method for morphological and functional assessment in cardiovascular skill training. Journal of Vascular Surgery Cases, Innovations and Techniques 2022. [DOI: 10.1016/j.jvscit.2022.09.012] [Reference Citation Analysis]
6 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. Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data. Surg Endosc 2022. [PMID: 36171451 DOI: 10.1007/s00464-022-09611-1] [Reference Citation Analysis]
7 Kirtac K, Aydin N, Lavanchy JL, Beldi G, Smit M, Woods MS, Aspart F. Surgical Phase Recognition: From Public Datasets to Real-World Data. Applied Sciences 2022;12:8746. [DOI: 10.3390/app12178746] [Reference Citation Analysis]
8 Kil I, Eidt JF, Groff RE, Singapogu RB. Assessment of open surgery suturing skill: Simulator platform, force-based, and motion-based metrics. Front Med 2022;9. [DOI: 10.3389/fmed.2022.897219] [Reference Citation Analysis]
9 Deepika P, Udupa K, Beniwal M, Uppar AM, V V, Rao M. Automated Microsurgical Tool Segmentation and Characterization in Intra-Operative Neurosurgical Videos. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022. [DOI: 10.1109/embc48229.2022.9871838] [Reference Citation Analysis]
10 Guerrero DT, Asaad M, Rajesh A, Hassan A, Butler CE. Advancing Surgical Education: The Use of Artificial Intelligence in Surgical Training. Am Surg 2022;:31348221101503. [PMID: 35570822 DOI: 10.1177/00031348221101503] [Reference Citation Analysis]
11 Oğul BB, Gilgien M, Özdemir S. Ranking surgical skills using an attention-enhanced Siamese network with piecewise aggregated kinematic data. Int J CARS. [DOI: 10.1007/s11548-022-02581-8] [Reference Citation Analysis]
12 Kutana S, Bitner DP, Addison P, Chung PJ, Talamini MA, Filicori F. Objective assessment of robotic surgical skills: review of literature and future directions. Surg Endosc. [DOI: 10.1007/s00464-022-09134-9] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Gupta G, Shankar S, Pinisetty S. Automated Surgical Procedure Assistance Framework Using Deep Learning and Formal Runtime Monitoring. Runtime Verification 2022. [DOI: 10.1007/978-3-031-17196-3_2] [Reference Citation Analysis]
14 Pavate AA, Bansode R. Evolutionary Algorithm With Self-Learning Strategy for Generation of Adversarial Samples. International Journal of Ambient Computing and Intelligence 2022;13:1-21. [DOI: 10.4018/ijaci.300797] [Reference Citation Analysis]
15 Deng T, Gulati S, Rodriguez W, Dawant BM, Langerman A. Automated detection of electrocautery instrument in videos of open neck procedures using YOLOv3. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2021. [DOI: 10.1109/embc46164.2021.9630961] [Reference Citation Analysis]