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Caterina Longo

  • 5763 Citations
  • 39 h-Index
20052019
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  • 13 Similar Profiles
Confocal Microscopy Medicine & Life Sciences
Melanoma Medicine & Life Sciences
Dermoscopy Medicine & Life Sciences
Skin Medicine & Life Sciences
Nevus Medicine & Life Sciences
Basal Cell Carcinoma Medicine & Life Sciences
Skin Neoplasms Medicine & Life Sciences
Nevi and Melanomas Medicine & Life Sciences

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Research Output 2005 2019

A comparative dermoscopic and reflectance confocal microscopy study of naevi and melanoma with negative pigment network

Farnetani, F., Scope, A., Mazzoni, L., Mandel, V. D., Manfredini, M., Magi, S., Vaschieri, C., Kaleci, S., Longo, C., Ciardo, S., Stanganelli, I. & Pellacani, G., Jan 1 2019, (Accepted/In press) In : Journal of the European Academy of Dermatology and Venereology.

Research output: Contribution to journal › Article

Nevi and Melanomas
Confocal Microscopy
Nevus
Skin
Melanoma

Alopecia neoplastica as a sign of visceral malignancies: a systematic review

Paolino, G., Pampena, R., Grassi, S., Mercuri, S. R., Cardone, M., Corsetti, P., Moliterni, E., Muscianese, M., Rossi, A., Frascione, P. & Longo, C., Jan 1 2019, In : Journal of the European Academy of Dermatology and Venereology.

Research output: Contribution to journal › Review article

Alopecia
Neoplasms
Survival Analysis
Cicatrix
Neoplasm Metastasis

A meta-analysis on the influence of partial biopsy of primary melanoma on disease recurrence and patient survival

Moscarella, E., Pampena, R., Palmiotti, G., Bonamonte, D., Brancaccio, G., Piccolo, V., Longo, C. & Argenziano, G., Jan 1 2019, (Accepted/In press) In : Journal of the European Academy of Dermatology and Venereology.

Research output: Contribution to journal › Article

Capecitabine-induced eruptive acral hyperpigmentation: Clinical and dermoscopic evaluation of two cases

Peccerillo, F., Pampena, R., Giannetti, L., Pellacani, G. & Longo, C., Jan 1 2019, In : Dermatologic Therapy. e12853.

Research output: Contribution to journal › Letter

10 Citations (Scopus)

Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study

Tschandl, P., Codella, N., Akay, B. N., Argenziano, G., Braun, R. P., Cabo, H., Gutman, D., Halpern, A., Helba, B., Hofmann-Wellenhof, R., Lallas, A., Lapins, J., Longo, C., Malvehy, J., Marchetti, M. A., Marghoob, A., Menzies, S., Oakley, A., Paoli, J., Puig, S. & 8 others, Rinner, C., Rosendahl, C., Scope, A., Sinz, C., Soyer, H. P., Thomas, L., Zalaudek, I. & Kittler, H., Jul 1 2019, In : The Lancet Oncology. 20, 7, p. 938-947 10 p.

Research output: Contribution to journal › Article

Skin
Machine Learning
Seborrheic Keratosis
Lentigo
Benign Fibrous Histiocytoma