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Cited by in F6Publishing
For: Murphree DH, Puri P, Shamim H, Bezalel SA, Drage LA, Wang M, Pittelkow MR, Carter RE, Davis MDP, Bridges AG, Mangold AR, Yiannias JA, Tollefson MM, Lehman JS, Meves A, Otley CC, Sokumbi O, Hall MR, Comfere N. Deep learning for dermatologists: Part I. Fundamental concepts. J Am Acad Dermatol 2020:S0190-9622(20)30921-X. [PMID: 32434009 DOI: 10.1016/j.jaad.2020.05.056] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Gupta AK, Ivanova IA, Renaud HJ. How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders. Dermatol Ther 2021;34:e14811. [PMID: 33496058 DOI: 10.1111/dth.14811] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
2 Quattrocchi E, Sominidi-Damodaran S, Murphree DH, Meves A. β3 integrin immunohistochemistry as a method to predict sentinel lymph node status in patients with primary cutaneous melanoma. Int J Dermatol 2020;59:1241-8. [PMID: 32772371 DOI: 10.1111/ijd.15125] [Reference Citation Analysis]
3 Sharma AN, Shwe S, Mesinkovska NA. Current state of machine learning for non-melanoma skin cancer. Arch Dermatol Res 2021. [PMID: 33991230 DOI: 10.1007/s00403-021-02236-9] [Reference Citation Analysis]
4 Aggarwal P, Papay FA. Artificial intelligence image recognition of melanoma and basal cell carcinoma in racially diverse populations. J Dermatolog Treat 2021;:1-6. [PMID: 34154489 DOI: 10.1080/09546634.2021.1944970] [Reference Citation Analysis]