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Dimensionality reduced cortical features and their use in predicting longitudinal changes in Alzheimer's disease

Title
Dimensionality reduced cortical features and their use in predicting longitudinal changes in Alzheimer's disease
Author
이종민
Keywords
Cortical feature; Cortical thickness; Sulcal depth; Manifold learning; Early prediction; Alzheimer's disease
Issue Date
2013-08
Publisher
Elsevier Science B.V., Amsterdam.
Citation
NEUROSCIENCE LETTERS , 2013, 550, p.17-22
Abstract
This study was supported by KOSEF NLRL Program grant 2011-0028333, Basic Science Research Program through NRF Korea grants 2012R1A2A2A01005939, 20100023233, and Global Frontier RD Program on < Human-centered Interaction for Coexistence > through NRF Korea grant NRF-2011-0032035. Image data collection was supported by NIH grants U01AG024904, P30AG010129, K01AG030514 and the Dana Foundation.
URI
https://www.sciencedirect.com/science/article/abs/pii/S0304394013005892http://hdl.handle.net/20.500.11754/50085
ISSN
0304-3940
DOI
10.1016/j.neulet.2013.06.042
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
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