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Measuring neurodegeneration in multiple sclerosis with automatic segmentations of Corpus callosum based on deep learning
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH). Karolinska Inst, Clin Neurosci, Stockholm, Sweden..ORCID iD: 0000-0001-6297-487x
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH).
Karolinska Inst, Clin Neurosci, Stockholm, Sweden..
Karolinska Inst, Clin Neurosci, Stockholm, Sweden..
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2019 (English)In: Multiple Sclerosis Journal, ISSN 1352-4585, E-ISSN 1477-0970, Vol. 25, p. 691-691Article in journal, Meeting abstract (Other academic) Published
Place, publisher, year, edition, pages
SAGE PUBLICATIONS LTD , 2019. Vol. 25, p. 691-691
National Category
Clinical Medicine
Identifiers
URN: urn:nbn:se:kth:diva-262800ISI: 000485303103072OAI: oai:DiVA.org:kth-262800DiVA, id: diva2:1362549
Conference
35th Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS) / 24th Annual Conference of Rehabilitation in MS, SEP 11-13, 2019, Stockholm, SWEDEN
Note

QC 20191021

Available from: 2019-10-21 Created: 2019-10-21 Last updated: 2024-03-15Bibliographically approved

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Platten, MichaelAndersson, Oskar

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