Selected Work

Publications

A focused selection of papers from the group and collaborators.

Combined magnetic resonance imaging and serum analysis reveals distinct multiple sclerosis types
BrainDecember 2, 2025

Combined magnetic resonance imaging and serum analysis reveals distinct multiple sclerosis types

Charles Willard, Lemuel Puglisi, Daniele Ravi, Mariia Dmitrieva, Rozemarijn M. Mattiesing, Frederik Barkhof, Daniel C. Alexander, Danielle E. Harlow, Daniela Piani-Meier, Arman Eshaghi.

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Enabling new insights from old scans by repurposing clinical MRI archives for multiple sclerosis research
Nature CommunicationsApril 7, 2025

Enabling new insights from old scans by repurposing clinical MRI archives for multiple sclerosis research

Philipp Goebl, Jed Wingrove, Omar Abdelmannan, Barbara Brito Vega, Jonathan Stutters, Silvia Da Graca Ramos, Owain Kenway, Thomas Rossor, Evangeline Wassmer, Douglas L. Arnold, D. Louis Collins, Cheryl Hemingway, Sridar Narayanan, Jeremy Chataway, Declan Chard, Juan Eugenio Iglesias, Frederik Barkhof, Geoff J. M. Parker, Neil P. Oxtoby, Yael Hacohen, Alan Thompson, Daniel C. Alexander, Olga Ciccarelli, Arman Eshaghi.

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Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data
Nature CommunicationsApril 6, 2021

Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data

Arman Eshaghi, Alexandra L. Young, Peter A. Wijeratne, Ferran Prados, Douglas L. Arnold, Sridar Narayanan, Charles R. G. Guttmann, Frederik Barkhof, Daniel C. Alexander, Alan J. Thompson, Declan Chard, Olga Ciccarelli.

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Emerging Perspectives on MRI Application in Multiple Sclerosis: Moving from Pathophysiology to Clinical Practice
RadiologyJune 6, 2023

Emerging Perspectives on MRI Application in Multiple Sclerosis: Moving from Pathophysiology to Clinical Practice

Maria Assunta Rocca, Monica Margoni, Marco Battaglini, Arman Eshaghi, Jeffrey Iliff, Elisabetta Pagani, Paolo Preziosa, Loredana Storelli, Toshiaki Taoka, Paola Valsasina, Massimo Filippi.

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Deep Learning Algorithms for Brain Imaging: From Black Box to Clinical Toolbox?
NeurologyJanuary 13, 2023

Deep Learning Algorithms for Brain Imaging: From Black Box to Clinical Toolbox?

Thaddeus J. Haight, Arman Eshaghi

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Funded by NIHR