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Radiology. Artificial Intelligence|October 5, 2023
Development and Evaluation of Deep Learning Models for Automated Estimation of Myelin Maturation Using Pediatric Brain MRI ScansTugba Akinci D'Antonoli, Ramona-Alexandra Todea, Nora Leu, et al.Radiology|September 30, 2025
Case 341: Infratentorial Posterior Reversible Encephalopathy Syndrome Associated with Interferon-β in Relapsing Multiple SclerosisNikolaos S Avramiotis, Matthias A Mutke, Matthias Mehling, et al.Neuroimage. Clinical|June 6, 2018
Partial volume-aware assessment of multiple sclerosis lesionsMário João Fartaria, Alexandra Todea, Tobias Kober, et al.Neurosurgical Review|August 4, 2026
Non-contrast computed tomography at the end of the acute care phase as an additional prognostic tool after aneurysmal subarachnoid hemorrhageRiccardo Ludovichetti, Massimo Barbagallo, Ignazio De Trizio, et al.Neuro-Oncology Advances|May 27, 2026
Prediction of treatment failure in patients with glioblastoma with perfusion MRI and molecular biomarkersRiccardo Ludovichetti, Jordan Villiers, Gergely Bertalan, et al.Investigative Radiology|March 5, 2019
Automated Detection and Segmentation of Multiple Sclerosis Lesions Using Ultra-High-Field MP2RAGEMário João Fartaria, Pascal Sati, Alexandra Todea, et al.Clinical Neuropathology|September 2, 2020
Differentiation of rare brain tumors through unsupervised machine learning: Clinical significance of in-depth methylation and copy number profiling illustrated through an unusual case of IDH wildtype glioblastomaChristian Saleh, Phillip Jaszczuk, Margret Hund-Georgiadis, et al.Frontiers in Neurology|October 5, 2020
Evolution of Cortical and White Matter Lesion Load in Early-Stage Multiple Sclerosis: Correlation With Neuroaxonal Damage and Clinical ChangesRamona-Alexandra Todea, Po-Jui Lu, Mario Joao Fartaria, et al.NMR in Biomedicine|March 17, 2022
Multiple sclerosis cortical lesion detection with deep learning at ultra-high-field MRIFrancesco La Rosa, Erin S Beck, Josefina Maranzano, et al.Pageof 2