IRIS

STORELLI, LOREDANA

STORELLI, LOREDANA  

Facoltà di Medicina e Chirurgia  

Mostra records
Risultati 1 - 20 di 58 (tempo di esecuzione: 0.044 secondi).
Titolo Data di pubblicazione Autore(i) File
A fully automatic method to segment choroid plexus in multiple sclerosis using conventional MRI sequences 1-gen-2023 Pagani, E; Storelli, L; Rubin, M; Margoni, M; Rocca, Ma; Filippi, M
A Fully Automatic Method to Segment Choroid Plexuses in Multiple Sclerosis Using Conventional MRI Sequences 1-gen-2024 Storelli, L.; Pagani, E.; Rubin, M.; Margoni, M.; Filippi, M.; Rocca, M. A.
Advanced diffusion-weighted imaging models better characterize white matter neurodegeneration and clinical outcomes in multiple sclerosis 1-gen-2022 Storelli, Loredana; Pagani, Elisabetta; Meani, Alessandro; Preziosa, Paolo; Filippi, Massimo; Rocca, Maria A
Application of Deep-Learning to NMOSD and Seronegative Patients with Limited NMOSD Manifestations 1-gen-2021 Cacciaguerra, L; Storelli, L; Radaelli, M; Mesaros, S; Moiola, L; Drulovic, J; Filippi, M; Rocca, Ma
Application of deep-learning to NMOSD and unclassified seronegative patients 1-gen-2020 Cacciaguerra, L; Storelli, L; Radaelli, M; Mesaros, S; Moiola, L; Drulovic, J; Rocca, Ma; Filippi, M
Artificial Intelligence Applied on Conventional Magnetic Resonance Images Improves the Correct Diagnosis of CNS Diseases Mimicking Multiple Sclerosis 1-gen-2020 Filippi, M; Storelli, L; Anzalone, N; Del Poggio, A; Preziosa, P; Cacciaguerra, L; Rocca, Ma
Artificial intelligence applied on conventional magnetic resonance images improves the correct diagnosis of CNS diseases mimicking multiple sclerosis 1-gen-2020 Rocca, Ma; Storelli, L; Anzalone, N; Del Poggio, A; Preziosa, P; Cacciaguerra, L; Filippi, M
Artificial Intelligence on Conventional Magnetic Resonance Images for the Diagnosis of Neuromyelitis Optica Spectrum Disorders 1-gen-2020 Cacciaguerra, L; Storelli, L; Mesaros, S; Radaelli, M; Palace, J; Dujmovic-Basuroski, I; Matthews, L; Drulovic, J; Leite, Mis; Filippi, M; Rocca, Ma
Assessment of central vein sign and paramagnetic rim lesions in pediatric multiple sclerosis 1-gen-2024 Margoni, M.; Preziosa, P.; Pagani, E.; Storelli, L.; Gueye, M.; Moiola, L.; Filippi, M.; Rocca, M. A.
Assessment of white matter atrophy in multiple sclerosis using advanced diffusion weighted imaging models 1-gen-2021 Storelli, L; Pagani, E; Preziosa, P; Filippi, M; Rocca, M
Atrophy quantification in multiple sclerosis: Application to the multicenter INNI dataset 1-gen-2021 Storelli, L; Pagani, E; Pantano, P; Petsas, N; Tedeschi, G; Gallo, A; De Stefano, N; Battaglini, M; Zaratin, P; Rocca, M; Filippi, M
Atrophy quantification in multiple sclerosis: application to the multicenter INNI dataset 1-gen-2021 Storelli, L; Pagani, E; Pantano, P; Petsas, N; Tedeschi, G; Gallo, A; De Stefano, N; Battaglini, M; Zaratin, P; Rocca, Ma; Filippi, M
Cerebrospinal Fluid-In Gradient of Cortical and Deep Gray Matter Damage in Multiple Sclerosis 1-gen-2024 Rubin, M.; Pagani, E.; Preziosa, P.; Meani, A.; Storelli, L.; Margoni, M.; Filippi, M.; Rocca, M. A.
Chronic Active Lesions and Larger Choroid Plexus Explain Cognition and Fatigue in Multiple Sclerosis 1-gen-2024 Preziosa, Paolo; Pagani, Elisabetta; Meani, Alessandro; Storelli, Loredana; Margoni, Monica; Yudin, Yury; Tedone, Nicolò; Biondi, Diana; Rubin, Martina; Rocca, Maria A.; Filippi, Massimo
Clinical relevance of spatial correspondence between regional gene expression and grey matter atrophy in multiple sclerosis 1-gen-2023 Preziosa, P; Storelli, L; Tedone, N; Margoni, M; Mistri, D; Azzimonti, M; Filippi, M; Rocca, Ma
Comparison of Methods for Whole-Brain and Grey Matter Atrophy Assessment in Multiple Sclerosis 1-gen-2018 Storelli, L; Rocca, Ma; Pagani, E; Van Hecke, W; Horsfield, Ma; De Stefano, N; Rovira, A; Sastre-Garriga, J; Palace, J; Sima, D; Smeets, D; Filippi, M
Correction to: Resting-state functional MRI in multicenter studies on multiple sclerosis: a report on raw data quality and functional connectivity features from the Italian Neuroimaging Network Initiative (Journal of Neurology, (2023), 270, 2, (1047-1066), 10.1007/s00415-022-11479-z) 1-gen-2023 De Rosa, A. P.; Esposito, F.; Valsasina, P.; D'Ambrosio, A.; Bisecco, A.; Rocca, M. A.; Tommasin, S.; Marzi, C.; De Stefano, N.; Battaglini, M.; Pantano, P.; Cirillo, M.; Tedeschi, G.; Filippi, M.; Gallo, A.; Altieri, M.; Borgo, R.; Capuano, R.; Storelli, L.; Pagani, E.; Sibilia, M.; Piervincenzi, C.; Ruggieri, S.; Petsas, N.; Cortese, R.; Stromillo, M. L.
Current and future applications of artificial intelligence in multiple sclerosis 1-gen-2022 Cacciaguerra, L.; Storelli, L.; Rocca, M. A.; Filippi, M.
Deep Learning on Conventional Magnetic Resonance Imaging Improves the Diagnosis of Multiple Sclerosis Mimics 1-gen-2021 Rocca, Maria A; Anzalone, Nicoletta; Storelli, Loredana; Del Poggio, Anna; Cacciaguerra, Laura; Manfredi, Angelo A; Meani, Alessandro; Filippi, Massimo
Depressive symptoms and monoaminergic network changes in multiple sclerosis: a longitudinal study 1-gen-2023 Mistri, D; Valsasina, P; Storelli, L; Rocca, Ma; Filippi, M