Multiclass Support Vector Machine-Based Lesion Mapping Predicts Functional Outcome in Ischemic Stroke Patients
about
Technical considerations of a game-theoretical approach for lesion symptom mapping.Decoding post-stroke motor function from structural brain imagingThe contribution of lesion location to upper limb deficit after stroke.A Quantitative Method Using Head Noncontrast CT Scans to Detect Hyperacute Nonvisible Ischemic Changes in Patients With Stroke.How distributed processing produces false negatives in voxel-based lesion-deficit analyses.The Additional Contribution of White Matter Hyperintensity Location to Post-stroke Cognitive Impairment: Insights From a Multiple-Lesion Symptom Mapping Study.Brain anomaly networks uncover heterogeneous functional reorganization patterns after stroke
P2860
Q36062770-EDB4987A-D1E3-452F-8598-2B41E0B539C4Q37199212-6EEDCC6F-087E-41AC-833B-C918690BBC7FQ37471680-27961A92-030C-40EF-AA52-AE21135229B1Q48458010-213ECD03-8927-4D8B-B298-F6BB06C1556CQ50300943-9FC08763-BC9C-445D-B496-98D353E4F8D6Q53818667-332AE108-5190-4124-B654-61BF276C063AQ58787721-167AE56F-4C5D-4015-A1EB-7E25DF52E9C8
P2860
Multiclass Support Vector Machine-Based Lesion Mapping Predicts Functional Outcome in Ischemic Stroke Patients
description
2015 nî lūn-bûn
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2015年の論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
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name
Multiclass Support Vector Mach ...... me in Ischemic Stroke Patients
@ast
Multiclass Support Vector Mach ...... me in Ischemic Stroke Patients
@en
type
label
Multiclass Support Vector Mach ...... me in Ischemic Stroke Patients
@ast
Multiclass Support Vector Mach ...... me in Ischemic Stroke Patients
@en
prefLabel
Multiclass Support Vector Mach ...... me in Ischemic Stroke Patients
@ast
Multiclass Support Vector Mach ...... me in Ischemic Stroke Patients
@en
P2093
P2860
P1433
P1476
Multiclass Support Vector Mach ...... me in Ischemic Stroke Patients
@en
P2093
Bastian Cheng
Götz Thomalla
Jens Fiehler
Nils Daniel Forkert
Tobias Verleger
P2860
P304
P356
10.1371/JOURNAL.PONE.0129569
P407
P577
2015-06-22T00:00:00Z