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For: Galibourg A, Dumoncel J, Telmon N, Calvet A, Michetti J, Maret D. Assessment of automatic segmentation of teeth using a watershed-based method. Dentomaxillofac Radiol 2018;47:20170220. [PMID: 28937285 DOI: 10.1259/dmfr.20170220] [Cited by in Crossref: 12] [Cited by in F6Publishing: 13] [Article Influence: 2.4] [Reference Citation Analysis]
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1 Liu L, Yang S, Zhu M, Wang M, Wei X. Improved Watershed Algorithm-Based Microscopic Images Combined with Meibomian Gland Microprobe in the Treatment of Demodectic Blepharitis. Comput Math Methods Med 2022;2022:4389659. [PMID: 35720025 DOI: 10.1155/2022/4389659] [Reference Citation Analysis]
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8 Torres FFE, Jacobs R, EzEldeen M, de Faria-Vasconcelos K, Guerreiro-Tanomaru JM, Dos Santos BC, Tanomaru-Filho M. How image-processing parameters can influence the assessment of dental materials using micro-CT. Imaging Sci Dent 2020;50:161-8. [PMID: 32601591 DOI: 10.5624/isd.2020.50.2.161] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
9 Chepurnyi Y, Chernohorskyi D, Prykhodko D, Poutala A, Kopchak A. Reliability of orbital volume measurements based on computed tomography segmentation: Validation of different algorithms in orbital trauma patients. J Craniomaxillofac Surg 2020;48:574-81. [PMID: 32291132 DOI: 10.1016/j.jcms.2020.03.007] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 3.0] [Reference Citation Analysis]
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