Machine learning to investigate superficial white matter integrity in early multiple sclerosis.
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| Title: | Machine learning to investigate superficial white matter integrity in early multiple sclerosis. |
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| Authors: | Buyukturkoglu K; Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA., Vergara C; Electrical Engineering Department, Universidad de Concepción, Santiago, Chile., Fuentealba V; Electrical Engineering Department, Universidad de Concepción, Santiago, Chile., Tozlu C; Department of Radiology, Weill Cornell Medicine, New York, New York, USA., Dahan JB; Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA., Carroll BE; Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA., Kuceyeski A; Department of Radiology, Weill Cornell Medicine, New York, New York, USA., Riley CS; Department of Neurology, Multiple Sclerosis Center, Columbia University Irving Medical Center, New York, New York, USA., Sumowski JF; Corinne Goldsmith Dickinson Center for Multiple Sclerosis, Mount Sinai Hospital, New York, New York, USA., Oliva CG; Universidad de Chile, Santiago, Chile., Sitaram R; Diagnostic Imaging Department, St. Jude Children's Research Hospital, Memphis, Tennessee, USA., Guevara P; Electrical Engineering Department, Universidad de Concepción, Santiago, Chile., Leavitt VM; Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA. |
| Source: | Journal of neuroimaging : official journal of the American Society of Neuroimaging [J Neuroimaging] 2022 Jan; Vol. 32 (1), pp. 36-47. Date of Electronic Publication: 2021 Sep 17. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Wiley Country of Publication: United States NLM ID: 9102705 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-6569 (Electronic) Linking ISSN: 10512284 NLM ISO Abbreviation: J Neuroimaging Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1552-6569 |
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| DOI: | 10.1111/jon.12934 |
