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Cited by in F6Publishing
For: Jumah F, Raju B, Nagaraj A, Shinde R, Lescott C, Sun H, Gupta G, Nanda A. Uncharted Waters of Machine and Deep Learning for Surgical Phase Recognition in Neurosurgery. World Neurosurg 2022;160:4-12. [PMID: 35026457 DOI: 10.1016/j.wneu.2022.01.020] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
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1 Epstein RH, Dexter F, Maga JM, Marian AA. Evaluation of the start of surgical closure as a milestone for forecasting the time remaining to exit the operating room: A retrospective, observational cohort study. Perioperative Care and Operating Room Management 2022;29:100280. [DOI: 10.1016/j.pcorm.2022.100280] [Reference Citation Analysis]
2 Fang L, Mou L, Gu Y, Hu Y, Chen B, Chen X, Wang Y, Liu J, Zhao Y. Global–local multi-stage temporal convolutional network for cataract surgery phase recognition. BioMed Eng OnLine 2022;21:82. [DOI: 10.1186/s12938-022-01048-w] [Reference Citation Analysis]
3 Morris MX, Rajesh A, Asaad M, Hassan A, Saadoun R, Butler CE. Deep Learning Applications in Surgery: Current Uses and Future Directions. Am Surg 2022;:31348221101490. [PMID: 35567312 DOI: 10.1177/00031348221101490] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]