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Get Free AccessThis study provides Class III evidence that both a clinical/MRI algorithm and an MRI-based DL model accurately distinguish RRMS from MOGAD.
Rosa Cortese, Francesco Sforazzini, Giordano Gentile, A. Mauro, Ludovico Luchetti, Maria Pia Amato, Samira Luísa Apóstolos‐Pereira, Georgina Arrambide, Barbara Bellenberg, Alessia Bianchi, Alvino Bisecco, Benedetta Bodini, Massimiliano Calabrese, Valentina Camera, Elisabeth Gulowsen Celius, Carolina de Medeiros Rimkus, Yunyun Duan, Françoise Durand-Dubief, Massimo Filippi, Antonio Gallo, Claudio Gasperini, Cristina Granziera, Sergiu Groppa, Matthias Grothe, Mor Gueye, Matilde Inglese, Anu Jacob, Caterina Lapucci, Andrea Lazzarotto, Yaou Liu, Sara Llufriú, Carsten Lukas, Romain Marignier, Silvia Messina, Jannis Müller, Jacqueline Palace, Luisa Pastò, Friedemann Paul, Ferrán Prados, Anne‐Katrin Pröbstel, Àlex Rovira, Maria A. Rocca, Serena Ruggieri, Jaume Sastre‐Garriga, Douglas Kazutoshi Sato, Ruth Schneider, María Sepúlveda, Piotr Sowa, Bruno Stankoff, Carla Tortorella, Frederik Barkhof, Olga Ciccarelli, Marco Battaglini, Nicola De Stefano (2025). Deep Learning Modeling to Differentiate Multiple Sclerosis From MOG Antibody–Associated Disease. , 105(6), DOI: https://doi.org/10.1212/wnl.0000000000214075.
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Type
Article
Year
2025
Authors
54
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1212/wnl.0000000000214075
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