BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Witkowski AM, Łudzik J, Arginelli F, Bassoli S, Benati E, Casari A, De Carvalho N, De Pace B, Farnetani F, Losi A, Manfredini M, Reggiani C, Malvehy J, Pellacani G. Improving diagnostic sensitivity of combined dermoscopy and reflectance confocal microscopy imaging through double reader concordance evaluation in telemedicine settings: A retrospective study of 1000 equivocal cases. PLoS One 2017;12:e0187748. [PMID: 29121636 DOI: 10.1371/journal.pone.0187748] [Cited by in Crossref: 12] [Cited by in F6Publishing: 9] [Article Influence: 2.4] [Reference Citation Analysis]
Number Citing Articles
1 Pezzini C, Kaleci S, Chester J, Farnetani F, Longo C, Pellacani G. Reflectance confocal microscopy diagnostic accuracy for malignant melanoma in different clinical settings: systematic review and meta‐analysis. J Eur Acad Dermatol Venereol 2020;34:2268-79. [DOI: 10.1111/jdv.16248] [Cited by in Crossref: 9] [Cited by in F6Publishing: 6] [Article Influence: 4.5] [Reference Citation Analysis]
2 Attia ABE, Bi R, Dev K, Du Y, Olivo M. Clinical noninvasive imaging and spectroscopic tools for dermatological applications: Review of recent progress. Translational Biophotonics 2020;2. [DOI: 10.1002/tbio.202000010] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Scope A, Dusza SW, Pellacani G, Gill M, Gonzalez S, Marchetti MA, Rabinovitz HS, Marghoob AA, Alessi-Fox C, Halpern AC. Accuracy of tele-consultation on management decisions of lesions suspect for melanoma using reflectance confocal microscopy as a stand-alone diagnostic tool. J Eur Acad Dermatol Venereol 2019;33:439-46. [PMID: 30242916 DOI: 10.1111/jdv.15257] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 1.8] [Reference Citation Analysis]
4 Petrie T, Samatham R, Witkowski AM, Esteva A, Leachman SA. Melanoma Early Detection: Big Data, Bigger Picture. J Invest Dermatol 2019;139:25-30. [PMID: 30482597 DOI: 10.1016/j.jid.2018.06.187] [Cited by in Crossref: 12] [Cited by in F6Publishing: 8] [Article Influence: 3.0] [Reference Citation Analysis]
5 Levine A, Markowitz O. Introduction to reflectance confocal microscopy and its use in clinical practice. JAAD Case Rep 2018;4:1014-23. [PMID: 30456275 DOI: 10.1016/j.jdcr.2018.09.019] [Cited by in Crossref: 20] [Cited by in F6Publishing: 14] [Article Influence: 5.0] [Reference Citation Analysis]
6 Pellacani G, Scope A, Gonzalez S, Guitera P, Farnetani F, Malvehy J, Witkowski A, De Carvalho N, Lupi O, Longo C. Reflectance confocal microscopy made easy: The 4 must-know key features for the diagnosis of melanoma and nonmelanoma skin cancers. J Am Acad Dermatol 2019;81:520-6. [PMID: 30954581 DOI: 10.1016/j.jaad.2019.03.085] [Cited by in Crossref: 12] [Cited by in F6Publishing: 10] [Article Influence: 4.0] [Reference Citation Analysis]
7 Lucius M, De All J, De All JA, Belvisi M, Radizza L, Lanfranconi M, Lorenzatti V, Galmarini CM. Deep Neural Frameworks Improve the Accuracy of General Practitioners in the Classification of Pigmented Skin Lesions. Diagnostics (Basel) 2020;10:E969. [PMID: 33218060 DOI: 10.3390/diagnostics10110969] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
8 Kose K, Bozkurt A, Alessi-Fox C, Gill M, Longo C, Pellacani G, Dy JG, Brooks DH, Rajadhyaksha M. Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net). Med Image Anal 2021;67:101841. [PMID: 33142135 DOI: 10.1016/j.media.2020.101841] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
9 Scharf C, Argenziano G, Brancaccio G, Licata G, Ronchi A, Moscarella E. Melanocytic or Not? Dermoscopy and Reflectance Confocal Microscopy for Lesions Difficult to Diagnose: A Cross-Sectional Diagnostic Accuracy Study. Dermatol Pract Concept 2021;11:e2021127. [PMID: 34631270 DOI: 10.5826/dpc.1104a127] [Reference Citation Analysis]
10 Pardo A, Gutiérrez-Gutiérrez JA, Lihacova I, López-Higuera JM, Conde OM. On the spectral signature of melanoma: a non-parametric classification framework for cancer detection in hyperspectral imaging of melanocytic lesions. Biomed Opt Express 2018;9:6283-301. [PMID: 31065429 DOI: 10.1364/BOE.9.006283] [Cited by in Crossref: 11] [Cited by in F6Publishing: 4] [Article Influence: 2.8] [Reference Citation Analysis]
11 Pellacani G, Farnetani F, Ciardo S, Chester J, Kaleci S, Mazzoni L, Bassoli S, Casari A, Pampena R, Mirra M, Lai M, Magi S, Mandel VD, Di Matteo S, Colombo GL, Stanganelli I, Longo C. Effect of Reflectance Confocal Microscopy for Suspect Lesions on Diagnostic Accuracy in Melanoma: A Randomized Clinical Trial. JAMA Dermatol 2022. [PMID: 35648432 DOI: 10.1001/jamadermatol.2022.1570] [Reference Citation Analysis]