Arturo Brunetti - University of Naples Federico II

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职业迁徙

个人简介

CURRENT RESEARCH TOPICS Functional and structural characterization of degenerative and neoplastic disorders of the Central Nervous System Functional and structural imaging of animal models of human diseases Quantitative assessment of brain damage and clinical correlates in multiple sclerosis

研究兴趣

论文共 467 篇作者统计合作学者相似作者

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Training Radiology Residents to Evaluate Deep Myometrial Invasion in Endometrial Cancer Patients on MRI: A Learning Curve Study

Arnaldo Stanzione, Fabio Cerrone, Fabrizio Ferraro, Fabrizio Menna, Andrea Spina,Roberta Danzi,Renato Cuocolo,Mariano Scaglione,Raffaele Liuzzi,Luigi Camera,Arturo Brunetti,Simone Maurea,

EUROPEAN JOURNAL OF RADIOLOGY (2024)

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Radiomics and Artificial Intelligence Applications in Pediatric Brain Tumors

Francesco Pacchiano,Mario Tortora,Chiara Doneda,Giana Izzo,Filippo Arrigoni,Lorenzo Ugga,Renato Cuocolo,Cecilia Parazzini,Andrea Righini,Arturo Brunetti

World Journal of Pediatricspp.1-17, (2024)

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A Review of Brain and Pituitary Gland MRI Findings in Patients with Ataxia and Hypogonadism

Alessandra Scaravilli,Mario Tranfa,Giuseppe Pontillo,Bernard Brais,Giovanna De Michele,Roberta La Piana,Francesco Sacca,Filippo Maria Santorelli,Matthis Synofzik,Arturo Brunetti,Sirio Cocozza

CEREBELLUM（2024）

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Radiological Reporting Systems in Multiple Sclerosis

Alessandra Scaravilli,Mario Tranfa,Giuseppe Pontillo,Antonio Carotenuto,Caterina Lapucci,Riccardo Nistri,Elisabetta Signoriello,Marcello Moccia,Carla Tortorella,Ruggero Capra,Giacomo Lus,Matilde Inglese,

APPLIED SCIENCES-BASEL（2024）

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Disentangling Neurodegeneration from Aging in Multiple Sclerosis Using Deep Learning: the Brain-Predicted Disease Duration Gap

Giuseppe Pontillo, Ferran Prados, Jordan Colman,Baris Kanber, Omar Abdel-Mannan, Sarmad Al-Araji, Barbara Bellenberg, Alessia Bianchi, Alvino Bisecco, Wallace J Brownlee,Arturo Brunetti,Alessandro Cagol,

Neurologyno. 10 (2024): e209976-e209976

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The Impact of Image Contrast, Resolution and Reader Expertise on Black Hole Identification in Multiple Sclerosis