Deep learning and lung ultrasound for Covid-19 pneumonia detection and severity classification. - Marco La Salvia; Gianmarco Secco; Emanuele Torti; Giordana Florimbi; Luca Guido; Paolo Lago; Francesco Salinaro; Stefano Perlini; Francesco Leporati (Comput. Biol. Medicine, 2021)

Attention-based Skin Cancer Classification Through Hyperspectral Imaging. - Marco La Salvia; Emanuele Torti; Marco Gazzoni; Elisa Marenzi; Raquel León; Samuel Ortega; Himar Fabelo; Gustavo M. Callicó; Francesco Leporati (DSD, 2022)

Evaluation of Preprocessing Methods on Independent Medical Hyperspectral Databases to Improve Analysis. - Beatriz Martínez-Vega; Mariia Tkachenko; Marianne Matkabi; Samuel Ortega; Himar Fabelo; Francisco Balea-Fernández; Marco La Salvia; Emanuele Torti; Francesco Leporati; Gustavo M. Callicó; Claire Chalopin (Sensors, 2022)

Neural Networks-Based On-Site Dermatologic Diagnosis through Hyperspectral Epidermal Images. - Marco La Salvia; Emanuele Torti; Raquel León; Himar Fabelo; Samuel Ortega; Francisco Balea-Fernández; Beatriz Martínez-Vega; Irene Castaño; Pablo Almeida; Gregorio Carretero; Javier A. Hernández; Gustavo M. Callicó; et al. (Sensors, 2022)

Deep Convolutional Generative Adversarial Networks to Enhance Artificial Intelligence in Healthcare: A Skin Cancer Application. - Marco La Salvia; Emanuele Torti; Raquel León; Himar Fabelo; Samuel Ortega; Beatriz Martínez-Vega; Gustavo M. Callicó; Francesco Leporati (Sensors, 2022)

Edge and cloud computing approaches in the early diagnosis of skin cancer with attention-based vision transformer through hyperspectral imaging. - Marco La Salvia; Emanuele Torti; Elisa Marenzi; Giovanni Danese; Francesco Leporati (J. Supercomput., 2024)

Segmentation of Intraoperative Glioblastoma Hyperspectral Images Using Self-Supervised U-Net++. - Marco Gazzoni; Marco La Salvia; Emanuele Torti; Elisa Marenzi; Raquel León; Samuel Ortega; Beatriz Martínez 002; Himar Fabelo; Gustavo M. Callicó; Francesco Leporati (VISIGRAPP (3): VISAPP, 2025)