A Novel Convolutional Neural Network for Automated Multiple Sclerosis Brain Lesion Segmentation
FLAMeS is an accurate, robust method for MS lesion segmentation that outperforms other publicly available methods.
Authors
- Francesco La Rosa (ORCID: https://orcid.org/0000-0002-9224-4664)
- Andrew J Solomon (ORCID: https://orcid.org/0000-0003-1602-1554)
- Pietro Maggi (ORCID: https://orcid.org/0000-0003-1697-5585)
- Omar Al‐Louzi (ORCID: https://orcid.org/0000-0003-2260-5660)
- Maxence Wynen (ORCID: https://orcid.org/0000-0001-6603-982X)
- Daniel S. Reich (ORCID: https://orcid.org/0000-0002-2628-4334)
- Amit Kumar Kohli (ORCID: https://orcid.org/0000-0002-3922-4840)
- James Sumowski (ORCID: https://orcid.org/0000-0001-6111-4907)
- William A Mullins
- Sarah Levy (ORCID: https://orcid.org/0000-0002-8254-2553)
- Jonadab dos Santos Silva (ORCID: https://orcid.org/0000-0002-4216-333X)
- Jakob Assländer (ORCID: https://orcid.org/0000-0003-2288-038X)
- Erin Beck (ORCID: https://orcid.org/0000-0001-7839-7958)
- Emma Dereskewicz (ORCID: https://orcid.org/0009-0009-1177-2886)
- Batuhan Ayci (ORCID: https://orcid.org/0000-0003-3418-7822)
- Kamso Onyemeh
- Edward Sizer (ORCID: https://orcid.org/0000-0001-6288-2844)
Institutions
- University of Vermont (US)
- Cedars-Sinai Medical Center (US)
- National Institutes of Health (US)
- Cliniques Universitaires Saint-Luc (BE)
- National Institute of Neurological Disorders and Stroke (US)
- New York University (US)
- UCLouvain (BE)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Journal of Neuroimaging
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1111/jon.70085
- Citations
- 2
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 1.68