Pubblicazioni

Convolutional Neural Network Approach to Classify Skin Lesions Using Reflectance Confocal Microscopy

2019 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Wodzinski, M.; Skalski, A.; Witkowski, A.; Pellacani, G.; Ludzik, J.

Accuracy of tele-consultation on management decisions of lesions suspect for melanoma using reflectance confocal microscopy as a stand-alone diagnostic tool

2019 - JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY

Scope, A.; Dusza, S. W.; Pellacani, G.; Gill, M.; Gonzalez, S.; Marchetti, M. A.; Rabinovitz, H. S.; Marghoob, A. A.; Alessi-Fox, C.; Halpern, A. C.

Integration of dermoscopy and reflectance confocal microscopy for distinguishing melanomas from nevi of the breast area

2018 - JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY

Mandel, Victor Desmond; Bombonato, Caterina; Pampena, Riccardo; Kyrgidis, Athanassios; Borsari, Stefania; Benati, Elisa; Mirra, Marica; Piana, Simonetta; Pellacani, Giovanni; Longo, Caterina

Role of In Vivo Reflectance Confocal Microscopy in the Analysis of Melanocytic Lesions

2018 - ACTA DERMATOVENEROLOGICA CROATICA

Serban, Elena-Daniela; Farnetani, Francesca; Pellacani, Giovanni; Constantin, Maria Magdalena

Dermoscopic difï¬cult lesions: an objective evaluation of reï¬ectance confocal microscopy impact for accurate diagnosis

2015 - JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY

Ferrari, Barbara; Pupelli, Gaia; Farnetani, Francesca; TEIXEIRA DE CARVALHO, Nathalie; Longo, Caterina; Reggiani, Camilla; Argenziano, Giuseppe; Pellacani, Giovanni