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For: Fabbrocini G, De Vita V, Pastore F, D'Arco V, Mazzella C, Annunziata MC, Cacciapuoti S, Mauriello MC, Monfrecola A. Teledermatology: from prevention to diagnosis of nonmelanoma and melanoma skin cancer. Int J Telemed Appl 2011;2011:125762. [PMID: 21776252 DOI: 10.1155/2011/125762] [Cited by in Crossref: 13] [Cited by in F6Publishing: 10] [Article Influence: 1.2] [Reference Citation Analysis]
Number Citing Articles
1 Rollin A, Ridout B, Campbell A. Digital Health in Melanoma Posttreatment Care in Rural and Remote Australia: Systematic Review. J Med Internet Res 2018;20:e11547. [PMID: 30249578 DOI: 10.2196/11547] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 1.8] [Reference Citation Analysis]
2 Seidl S, Schuster B, Rüth M, Biedermann T, Zink A. What Do Germans Want to Know About Skin Cancer? A Nationwide Google Search Analysis From 2013 to 2017. J Med Internet Res 2018;20:e10327. [PMID: 29698213 DOI: 10.2196/10327] [Cited by in Crossref: 24] [Cited by in F6Publishing: 15] [Article Influence: 6.0] [Reference Citation Analysis]
3 Zarca K, Charrier N, Mahé E, Guibal F, Carton B, Moreau F, Durand-Zaleski I. Tele-expertise for diagnosis of skin lesions is cost-effective in a prison setting: A retrospective cohort study of 450 patients. PLoS One 2018;13:e0204545. [PMID: 30248151 DOI: 10.1371/journal.pone.0204545] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
4 Patrinely JR, Johnson DB. Pandemic medicine: the management of advanced melanoma during COVID-19. Melanoma Manag 2020;7:MMT45. [PMID: 32922727 DOI: 10.2217/mmt-2020-0012] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
5 Champagne T, Rossos PG, Kirk V, Seto E. Impact of an Intrainstitutional Teledermatology Service: Mixed-Methods Case Study. JMIR Dermatol 2018;1:e11923. [DOI: 10.2196/11923] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 0.8] [Reference Citation Analysis]
6 Brinker TJ, Hekler A, Utikal JS, Grabe N, Schadendorf D, Klode J, Berking C, Steeb T, Enk AH, von Kalle C. Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review. J Med Internet Res 2018;20:e11936. [PMID: 30333097 DOI: 10.2196/11936] [Cited by in Crossref: 112] [Cited by in F6Publishing: 53] [Article Influence: 28.0] [Reference Citation Analysis]
7 Brinker TJ, Hekler A, von Kalle C, Schadendorf D, Esser S, Berking C, Zacher MT, Sondermann W, Grabe N, Steeb T, Utikal JS, French LE, Enk AH. Teledermatology: Comparison of Store-and-Forward Versus Live Interactive Video Conferencing. J Med Internet Res 2018;20:e11871. [PMID: 30355564 DOI: 10.2196/11871] [Cited by in Crossref: 13] [Cited by in F6Publishing: 11] [Article Influence: 3.3] [Reference Citation Analysis]
8 Cano E, Mendoza-Avilés J, Areiza M, Guerra N, Mendoza-Valdés JL, Rovetto CA. Multi skin lesions classification using fine-tuning and data-augmentation applying NASNet. PeerJ Comput Sci 2021;7:e371. [PMID: 34150994 DOI: 10.7717/peerj-cs.371] [Reference Citation Analysis]
9 Choi J, Cho Y, Woo H. mHealth Approaches in Managing Skin Cancer: Systematic Review of Evidence-Based Research Using Integrative Mapping. JMIR Mhealth Uhealth 2018;6:e164. [PMID: 30072362 DOI: 10.2196/mhealth.8554] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
10 Bragazzi NL. Online web-based sun-protective behaviors. Psychol Res Behav Manag 2014;7:89-91. [PMID: 24623998 DOI: 10.2147/PRBM.S61450] [Cited by in Crossref: 1] [Article Influence: 0.1] [Reference Citation Analysis]
11 Kassem MA, Hosny KM, Damaševičius R, Eltoukhy MM. Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review. Diagnostics (Basel) 2021;11:1390. [PMID: 34441324 DOI: 10.3390/diagnostics11081390] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]