Multimodal-neuroimaging machine-learning analysis of motor disability in multiple sclerosis

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SYSNO	0564950
Title	Multimodal-neuroimaging machine-learning analysis of motor disability in multiple sclerosis
Author(s)	Rehák Bučková, Barbora (UIVT-O)_{RID, ORCID, SAI} Mareš, J. (CZ) Škoch, A. (CZ) Kopal, Jakub (UIVT-O)_{RID, ORCID, SAI} Tintěra, J. (CZ) Dineen, R.A. (GB) Řasová, K. (CZ) Hlinka, Jaroslav (UIVT-O)_{RID, SAI, ORCID}
Corespondence/senior	Hlinka, Jaroslav - Korespondující autor
Source Title	Brain Imaging and Behavior. Roč. 17, č. 1 (2023), s. 18-34
Document Type	Článek v odborném periodiku
Grant	GA13-23940S GA ČR - Czech Science Foundation (CSF)
	NU21-08-00432 GA MZd - Ministry of Health (MZ), CZ - Czech Republic
	StrategieAV21/1, CZ - Czech Republic
	StrategieAV21/26, CZ - Czech Republic
Institutional support	UIVT-O - RVO:67985807
Language	eng
Country	US
Keywords	Multiple sclerosis * Machine learning * Multimodal analysis * Prediction * MRI
URL	https://doi.org/10.1007/s11682-022-00737-3
Permanent Link	https://hdl.handle.net/11104/0336527

Number of the records: 1