| The role in teledermoscopy of an inexpensive and easy-to-use smartphone device for the classification of three types of skin lesions using convolutional neural networks F Veronese, F Branciforti, E Zavattaro, V Tarantino, V Romano, ... Diagnostics 11 (3), 451, 2021 | 26 | 2021 |
| DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks M Salvi, F Branciforti, F Veronese, E Zavattaro, V Tarantino, P Savoia, ... Computer Methods and Programs in Biomedicine 225, 107040, 2022 | 16 | 2022 |
| Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm M Salvi, F Branciforti, F Molinari, KM Meiburger Expert Systems with Applications 245, 123105, 2024 | 6 | 2024 |
| Teledermoscopy in the Diagnosis of Melanocytic and Non-Melanocytic Skin Lesions: NurugoTM Derma Smartphone Microscope as a Possible New Tool in Daily … F Veronese, V Tarantino, E Zavattaro, F Biacchi, C Airoldi, M Salvi, ... Diagnostics 12 (6), 1371, 2022 | 3 | 2022 |
| Impact of artificial intelligence‐based color constancy on dermoscopical assessment of skin lesions: A comparative study F Branciforti, KM Meiburger, E Zavattaro, F Veronese, V Tarantino, ... Skin Research and Technology 29 (11), e13508, 2023 | 2 | 2023 |
| Parametric Kernels for Artifact Mitigation in Patch-based Image Aggregation using Generative Models N Michielli, F Marzola, F Branciforti, KM Meiburger, M Salvi Authorea Preprints, 2023 | | 2023 |
| Sviluppo di un classificatore basato su reti neurali convoluzionali per il riconoscimento del melanoma cutaneo.= Development of a CNN based classifier for the recognition of … F Branciforti Politecnico di Torino, 2020 | | 2020 |
Massimo SalviPolitecnico di TorinoEmail verificata su polito.it
