Author Correction: Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data

Affiliations

• ¹ Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK. [email protected].
• ² Centre for Medical Image Computing (CMIC), Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK. [email protected].
• ³ Centre for Medical Image Computing (CMIC), Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK.
• ⁴ Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
• ⁵ Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
• ⁶ e-Health Centre, Universitat Oberta de Catalunya, Barcelona, Spain.
• ⁷ McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
• ⁸ Center for Neurological Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
• ⁹ VU University Medical Centre, Amsterdam, The Netherlands.
• ¹⁰ Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
• ¹¹ National Institute for Health Research University College London Hospitals, Biomedical Research Centre, London, UK.