Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes-Reference-Cited by-同舟云学术

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Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes

Published:2019 Issue: Volume:23 Page:101859
ISSN:2213-1582
Container-title:NeuroImage: Clinical
language:en
Short-container-title:NeuroImage: Clinical

Author:

Wang Yun^ORCID,Xu Chenxiao,Park Ji-Hwan,Lee Seonjoo,Stern Yaakov,Yoo Shinjae,Kim Jong Hun,Kim Hyoung Seop,Cha Jiook^ORCID

Funder

Brain and Behavior Research Foundation

National Institute of Mental Health

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging

Reference50 articles.

1. Machine learning for neuroimaging with scikit-learn;Abraham;Front Neuroinform,2014

2. Absolute diffusivities define the landscape of white matter degeneration in Alzheimer's disease;Acosta-Cabronero;Brain,2010

3. Seoul neuropsychological screening battery-dementia version (SNSB-D): a useful tool for assessing and monitoring cognitive impairments in dementia patients;Ahn;J. Korean Med. Sci.,2010

4. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging;Andersson;Neuroimage,2016

5. Validation of high-resolution Tractography against in vivo tracing in the macaque visual cortex;Azadbakht;Cereb. Cortex,2015

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