GUARNACCIA, FRANCESCO
GUARNACCIA, FRANCESCO
DIPARTIMENTO DI INGEGNERIA PER LA MEDICINA DI INNOVAZIONE
Mostra
records
Risultati 1 - 2 di 2 (tempo di esecuzione: 0.001 secondi).
Quantitative Magnetic resonance imaging lesion features allow machine learning-based classification of MS patients with Progression Independent of Relapse Activity
2025-01-01 Guarnaccia, F; Dall'Osto, N; Camera, V; Pastore, L; Bonetti, R; Quagliotti, S; Maltempo, T; Cavagna, A; Camerer, S; Castellaro, M; Magliozzi, R; Ziccardi, S; Marastoni, D; Pizzini, Fb; Calabrese, M; Tamanti, A
Unsupervised Clustering Based on Quantitative Magnetic Resonance Imaging Features Contributes to the Characterization of MS White Matter Lesions
2025-01-01 Dall'Osto, N; Guarnaccia, F; Camera, V; Pastore, L; Bonetti, R; Quagliotti, S; Maltempo, T; Cavagna, A; Camerer, S; Castellaro, M; Magliozzi, R; Ziccardi, S; Marastoni, D; Pizzini, Fb; Calabrese, M; Tamanti, A
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Quantitative Magnetic resonance imaging lesion features allow machine learning-based classification of MS patients with Progression Independent of Relapse Activity | 1-gen-2025 | Guarnaccia, F; Dall'Osto, N; Camera, V; Pastore, L; Bonetti, R; Quagliotti, S; Maltempo, T; Cavagna, A; Camerer, S; Castellaro, M; Magliozzi, R; Ziccardi, S; Marastoni, D; Pizzini, Fb; Calabrese, M; Tamanti, A | |
| Unsupervised Clustering Based on Quantitative Magnetic Resonance Imaging Features Contributes to the Characterization of MS White Matter Lesions | 1-gen-2025 | Dall'Osto, N; Guarnaccia, F; Camera, V; Pastore, L; Bonetti, R; Quagliotti, S; Maltempo, T; Cavagna, A; Camerer, S; Castellaro, M; Magliozzi, R; Ziccardi, S; Marastoni, D; Pizzini, Fb; Calabrese, M; Tamanti, A |