ZICCARDI, STEFANO
ZICCARDI, STEFANO
DIPARTIMENTO DI NEUROSCIENZE, BIOMEDICINA E MOVIMENTO
Choroid plexus volume predicts progression independent of relapse activity in early relapsing multiple sclerosis
2025-01-01 Sicchieri, M; Marastoni, D; Schirò, G; Tamanti, A; Visani, V; Anni, D; Ziccardi, S; Camera, V; Pizzini, Fb; Magliozzi, R; Castellaro, M; Calabrese, M
Microstructural modulations in the hippocampus allow to characterizing relapsing-remitting versus primary progressive multiple sclerosis
2021-01-01 Boscolo Galazzo, Ilaria; Brusini, Lorenza; Akinci, Muge; Cruciani, Federica; Pitteri, Marco; Ziccardi, Stefano; Bajrami, Albulena; Castellaro, Marco; Salih, Ahmed; Pizzini Francesca, B.; Jovicich, Jorge; Calabrese, Massimiliano; Menegaz, Gloria
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 |
|---|---|---|---|
| Choroid plexus volume predicts progression independent of relapse activity in early relapsing multiple sclerosis | 1-gen-2025 | Sicchieri, M; Marastoni, D; Schirò, G; Tamanti, A; Visani, V; Anni, D; Ziccardi, S; Camera, V; Pizzini, Fb; Magliozzi, R; Castellaro, M; Calabrese, M | |
| Microstructural modulations in the hippocampus allow to characterizing relapsing-remitting versus primary progressive multiple sclerosis | 1-gen-2021 | Boscolo Galazzo, Ilaria; Brusini, Lorenza; Akinci, Muge; Cruciani, Federica; Pitteri, Marco; Ziccardi, Stefano; Bajrami, Albulena; Castellaro, Marco; Salih, Ahmed; Pizzini Francesca, B.; Jovicich, Jorge; Calabrese, Massimiliano; Menegaz, Gloria | |
| 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 |