Deep Learning Modeling to Differentiate Multiple Sclerosis From MOG Antibody–Associated Disease

This study provides Class III evidence that both a clinical/MRI algorithm and an MRI-based DL model accurately distinguish RRMS from MOGAD.

Authors

Institutions

Publication Details

Journal
Neurology
Published
2025-09-04
DOI
https://doi.org/10.1212/wnl.0000000000214075
Citations
3
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
4.41

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Deep Learning Modeling to Differentiate Multiple Sclerosis From MOG Antibody–Associated Disease

Carolina de Medeiros Rimkus, Massimo Filippi, Silvia Messina, Bruno Stankoff et al.
3 citations
Neurology
Multiple Sclerosis Research Studies
4.41
article

Deep Learning Modeling to Differentiate Multiple Sclerosis From MOG Antibody–Associated Disease

Carolina de Medeiros Rimkus, Massimo Filippi, Silvia Messina, Bruno Stankoff, Carsten Lukas, Sara Llufriú, Carla Tortorella, Jaume Sastre‐Garriga, Anu Jacob, Sergiu Groppa, Alvino Bisecco, Matthias Grothe, Nicola De Stefano, Claudio Gasperini, Rosa Cortese, María Sepúlveda, Marco Battaglini, Serena Ruggieri, Yaou Liu, Jannis Müller, Ruth Schneider, Ferrán Prados, Friedemann Paul, Valentina Camera, Luisa Pastò, Matilde Inglese, Àlex Rovira, Andrea Lazzarotto, Frederik Barkhof, Ludovico Luchetti, Olga Ciccarelli, Mor Gueye, Benedetta Bodini, Massimiliano Calabrese, Caterina Lapucci, Samira Luísa Apóstolos‐Pereira, Francesco Sforazzini, Alessia Bianchi, Georgina Arrambide, Piotr Sowa, Anne‐Katrin Pröbstel, Elisabeth Gulowsen Celius, Maria Assunta Rocca, Cristina Granziera, Barbara Bellenberg, Antonio Gallo, Douglas Kazutoshi Sato, Giordano Gentile, Romain Marignier, Jacqueline A. Palace, A. Mauro, Maria Pia Amato, Yunyun Duan, Françoise Durand-Dubief
article en
3 citations

Abstract

This study provides Class III evidence that both a clinical/MRI algorithm and an MRI-based DL model accurately distinguish RRMS from MOGAD.

NeurologyVol. 105(6)
University of Siena (IT), University of Verona (IT), Universitat Autònoma de Barcelona (ES), Oslo University Hospital (NO), Centre National de la Recherche Scientifique (FR), Cleveland Clinic (US), Institut de la Vision (FR), Universitat Oberta de Catalunya (ES), University of Liverpool (GB), Vita-Salute San Raffaele University (IT), Inserm (FR), Queen Mary University of London (GB), Universidade de São Paulo (BR), Capital Medical University (CN), University of Basel (CH), Johannes Gutenberg University Mainz (DE), University of Campania "Luigi Vanvitelli" (IT), Max Delbrück Center (DE), Universitätsmedizin Greifswald (DE), Hawkeye Community College (US), University Hospital of Basel (CH), John Radcliffe Hospital (GB), Walton Centre (GB), National Institute for Health and Care Research (GB), Sorbonne Université (FR), Beijing Tian Tan Hospital (CN), University Medical Center of the Johannes Gutenberg University Mainz (DE), Assistance Publique – Hôpitaux de Paris (FR), Observatoire Français de la Sclérose en Plaques (FR), Hôpital Pierre Wertheimer (FR), Azienda Ospedaliero-Universitaria Careggi (IT), Don Carlo Gnocchi Foundation (IT), Siena Biotech (Italy) (IT), Pitié-Salpêtrière Hospital (FR), Vall d'Hebron Hospital Universitari (ES), IRCCS Ospedale San Raffaele (IT), St. Josef-Hospital (DE), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (BR), Ospedale Policlinico San Martino (IT), Carlo Forlanini Hospital (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES), Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele (IT), University of Florence (IT), University College London (GB), Pontifícia Universidade Católica do Rio Grande do Sul (BR), University of Genoa (IT), Vrije Universiteit Amsterdam (NL), Ruhr University Bochum (DE)
National Science Foundation, National Multiple Sclerosis Society, Amgen, Bristol-Myers Squibb, Eli Lilly and Company, AstraZeneca, Sanofi, Biogen, Teva Pharmaceutical Industries, Alexion Pharmaceuticals, Celgene, Fondazione Italiana Sclerosi Multipla, Prothena, Celltrion, Argenx, Horizon Therapeutics, Multiple Sclerosis Society of Canada, National Institute for Health and Care Research, Guarantors of Brain, University College London, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Bundesministerium für Bildung und Forschung, Ministero della Salute, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Eisai, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul, University College London Hospitals NHS Foundation Trust, H. Lundbeck A/S, National Institutes of Health, Novartis Pharma, Chugai Pharmaceutical, Sanofi Genzyme, Instituto de Salud Carlos III
Openalex Percentile: Top 5%
Multiple Sclerosis Research Studies
4.41
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.