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Cited by in F6Publishing
For: de Carvalho TM, Noels E, Wakkee M, Udrea A, Nijsten T. Development of Smartphone Apps for Skin Cancer Risk Assessment: Progress and Promise. JMIR Dermatol 2019;2:e13376. [DOI: 10.2196/13376] [Cited by in Crossref: 7] [Cited by in F6Publishing: 2] [Article Influence: 2.3] [Reference Citation Analysis]
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1 Nag S, Baidya ATK, Mandal A, Mathew AT, Das B, Devi B, Kumar R. Deep learning tools for advancing drug discovery and development. 3 Biotech 2022;12. [DOI: 10.1007/s13205-022-03165-8] [Reference Citation Analysis]
2 Al-azzawi WK, Chenchamma G, Hamad AA, Alshudukhi J, Alhamazani KT, Meraf Z, Velmurugan P. Use of Radiation Circuits for Diagnosis of Melanoma Skin Cancer in Images of Skin Lesions Using Convolutional Neural Networks. Journal of Nanomaterials 2022;2022:1-7. [DOI: 10.1155/2022/8135715] [Reference Citation Analysis]
3 Wen H, Yu W, Wu Y, Jun Z, Liu X, Kuang Z, Fan R. Acne detection and severity evaluation with interpretable convolutional neural network models. Technol Health Care 2022. [PMID: 35124592 DOI: 10.3233/THC-228014] [Reference Citation Analysis]
4 Sangers TE, Nijsten T, Wakkee M. Mobile health skin cancer risk assessment campaign using artificial intelligence on a population-wide scale: a retrospective cohort analysis. J Eur Acad Dermatol Venereol 2021. [PMID: 34077573 DOI: 10.1111/jdv.17442] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Sangers TE, Wakkee M, Kramer-Noels EC, Nijsten T, Lugtenberg M. Views on mobile health apps for skin cancer screening in the general population: an in-depth qualitative exploration of perceived barriers and facilitators. Br J Dermatol 2021. [PMID: 33959945 DOI: 10.1111/bjd.20441] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
6 Takiddin A, Schneider J, Yang Y, Abd-Alrazaq A, Househ M. Artificial Intelligence for Skin Cancer Detection: Scoping Review. J Med Internet Res 2021;23:e22934. [PMID: 34821566 DOI: 10.2196/22934] [Reference Citation Analysis]