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Cited by in F6Publishing
For: Paderno A, Holsinger FC, Piazza C. Videomics: bringing deep learning to diagnostic endoscopy. Curr Opin Otolaryngol Head Neck Surg 2021;29:143-8. [PMID: 33595977 DOI: 10.1097/MOO.0000000000000697] [Cited by in Crossref: 3] [Cited by in F6Publishing: 8] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Ali H, Sharif M, Yasmin M, Rehmani MH. A shallow extraction of texture features for classification of abnormal video endoscopy frames. Biomedical Signal Processing and Control 2022;77:103733. [DOI: 10.1016/j.bspc.2022.103733] [Reference Citation Analysis]
2 Bensoussan Y, Vanstrum EB, Johns MM 3rd, Rameau A. Artificial Intelligence and Laryngeal Cancer: From Screening to Prognosis: A State of the Art Review. Otolaryngol Head Neck Surg 2022;:1945998221110839. [PMID: 35787073 DOI: 10.1177/01945998221110839] [Reference Citation Analysis]
3 Azam MA, Sampieri C, Ioppi A, Benzi P, Giordano GG, De Vecchi M, Campagnari V, Li S, Guastini L, Paderno A, Moccia S, Piazza C, Mattos LS, Peretti G. Videomics of the Upper Aero-Digestive Tract Cancer: Deep Learning Applied to White Light and Narrow Band Imaging for Automatic Segmentation of Endoscopic Images. Front Oncol 2022;12:900451. [PMID: 35719939 DOI: 10.3389/fonc.2022.900451] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Saidak Z, Piazza C. Editorial: Oral Oncology: From Precise Surgery to Precision Medicine and Surgery. Front Oral Health 2022;3:913172. [DOI: 10.3389/froh.2022.913172] [Reference Citation Analysis]
5 Mattos LS, Acemoglu A, Geraldes A, Laborai A, Schoob A, Tamadazte B, Davies B, Wacogne B, Pieralli C, Barbalata C, Caldwell DG, Kundrat D, Pardo D, Grant E, Mora F, Barresi G, Peretti G, Ortiz J, Rabenorosoa K, Tavernier L, Pazart L, Fichera L, Guastini L, Kahrs LA, Rakotondrabe M, Andreff N, Deshpande N, Gaiffe O, Renevier R, Moccia S, Lescano S, Ortmaier T, Penza V. μRALP and Beyond: Micro-Technologies and Systems for Robot-Assisted Endoscopic Laser Microsurgery. Front Robot AI 2021;8:664655. [PMID: 34568434 DOI: 10.3389/frobt.2021.664655] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Yao P, Usman M, Chen YH, German A, Andreadis K, Mages K, Rameau A. Applications of Artificial Intelligence to Office Laryngoscopy: A Scoping Review. Laryngoscope 2021. [PMID: 34582043 DOI: 10.1002/lary.29886] [Cited by in F6Publishing: 4] [Reference Citation Analysis]
7 Gong J, Holsinger FC, Noel JE, Mitani S, Jopling J, Bedi N, Koh YW, Orloff LA, Cernea CR, Yeung S. Using deep learning to identify the recurrent laryngeal nerve during thyroidectomy. Sci Rep 2021;11:14306. [PMID: 34253767 DOI: 10.1038/s41598-021-93202-y] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
8 Paderno A, Piazza C, Del Bon F, Lancini D, Tanagli S, Deganello A, Peretti G, De Momi E, Patrini I, Ruperti M, Mattos LS, Moccia S. Deep Learning for Automatic Segmentation of Oral and Oropharyngeal Cancer Using Narrow Band Imaging: Preliminary Experience in a Clinical Perspective. Front Oncol 2021;11:626602. [PMID: 33842330 DOI: 10.3389/fonc.2021.626602] [Cited by in Crossref: 2] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]