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A new method for automated high-dimensional lesion segmentation evaluated in vascular injury and applied to the human occipital lobe

Abstract:

Making robust inferences about the functional neuroanatomy of the brain is critically dependent on experimental techniques that examine the consequences of focal loss of brain function. Unfortunately, the use of the most comprehensive such technique-lesion-function mapping-is complicated by the need for time-consuming and subjective manual delineation of the lesions, greatly limiting the practicability of the approach. Here we exploit a recently-described general measure of statistical anomal...

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Role:
Author
Publisher:
Masson SpA
Journal:
Cortex
Volume:
56
Pages:
51-63
Publication date:
2014-01-01
DOI:
EISSN:
1973-8102
ISSN:
0010-9452
Source identifiers:
472235
Language:
English
Keywords:
Pubs id:
pubs:472235
UUID:
uuid:84af2dec-4216-428e-be25-d2eaf75fb190
Local pid:
pubs:472235
Deposit date:
2014-07-05

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