CEVENINI GABRIELE
Office hours
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Friday from 09:00 to 11:00Place: Centro direzionale AOUS, Policlinico Le Scotte
Teaching activities
Completion accademic year: 2026/2027
Course year: 1
Second cycle degree (Laurea Magistrale)
NURSING AND MIDWIFERY SCIENCES
A.Y. 2026/2027
Course year: 3
First cycle degree (DM 270)
TECNICHE DI RADIOLOGIA MEDICA, PER IMMAGINI E RADIOTERAPIA (ABILITANTE ALLA PROFESSIONE SANITARIA DI TECNICO DI RADIOLOGIA MEDICA)
A.Y. 2024/2025
Course year: 2
First cycle degree (DM 270)
ENVIRONMENT AND WORKPLACE PREVENTION TECHNIQUES
A.Y. 2025/2026
Completion accademic year: 2025/2026
Course year: 1
Second cycle degree (Laurea Magistrale)
NURSING AND MIDWIFERY SCIENCES
A.Y. 2025/2026
Research
Ultime pubblicazioni:
- Tognetti, L., Lo Conte, Sofia., Miracapillo, C., Lallas, A., Moscarella, E., Giuffrida, R., et al. (2026). A Risk-Scoring Classifier for the Diagnosis and Management of Atypical Melanocytic Lesions of the Palms: the iDScore_palmar Model. DERMATOLOGY PRACTICAL & CONCEPTUAL, 16(1) [10.5826/dpc.1601a6487]. - view more
- Luschi, A., Zazzeri, A., Cevenini, G., Iadanza, E. (2026). Risk-informed design of Software as a Medical Device through Natural Language Processing techniques. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 119 [10.1016/j.bspc.2026.109994]. - view more
- Lo Conte, S., Bufano, A., Cevenini, G., Barbini, P., Castagna, M.G., Cartocci, A. (2026). Unsupervised identification of muscle phenotypes in adults with obesity: a data-driven framework for the identification of sarcopenia in absence of a gold standard. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 213 [10.1016/j.ijmedinf.2026.106398]. - view more
- Cartocci, A., Marianello, D., Limaj, S., Biuzzi, C., Simeone, F., Nante, N., et al. (2025). A long-standing model-driven approach for optimizing blood resource allocation in cardiac elective surgery. INTERNATIONAL JOURNAL OF HEALTHCARE MANAGEMENT, 1-6 [10.1080/20479700.2024.2445451]. - view more
- Luschi, A., Tognetti, L., Cartocci, A., Cevenini, G., Rubegni, P., Iadanza, E. (2025). Advancing synthetic data for dermatology: GAN comparison with multi-metric and expert validation approach. HEALTH AND TECHNOLOGY [10.1007/s12553-025-00971-x]. - view more