Detection of differentiated changes in gray matter in children with progressive hydrocephalus and chronic compensated hydrocephalus using voxel‐based morphometry and machine learning-Reference-Cited by-同舟云学术

Detection of differentiated changes in gray matter in children with progressive hydrocephalus and chronic compensated hydrocephalus using voxel‐based morphometry and machine learning

Published:2019-11-15 Issue:8 Volume:303 Page:2235-2247
ISSN:1932-8486
Container-title:The Anatomical Record
language:en
Short-container-title:Anat Rec

Author:

Li Yongxin¹^ORCID,Tan Zhen²,Wang Ya³,Wang Yanfang³,Li Ding³,Chen Qian⁴,Huang Wenhua³

Affiliation:

1. Formula‐pattern Research Center, School of Traditional Chinese Medicine, Jinan University Guangzhou China

2. Health Management Center, Shenzhen University General Hospital, Shenzhen University Clinical Medical Academy Shenzhen China

3. Guangdong Provincial Key Laboratory of Medical Biomechanics, School of Basic Medical Sciences, Southern Medical University Guangzhou China

4. Department of Pediatric Neurosurgery Shenzhen Children's Hospital Shenzhen China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics,Histology,Biotechnology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ar.24306

Reference37 articles.

1. Longitudinal comparison of pre- and postoperative diffusion tensor imaging parameters in young children with hydrocephalus

2. A fast diffeomorphic image registration algorithm

3. Magnetic resonance imaging pattern learning in temporal lobe epilepsy: Classification and prognostics

4. Prediction of activation patterns preceding hallucinations in patients with schizophrenia using machine learning with structured sparsity

5. Chronic hydrocephalus in rats and humans: White matter loss and behavior changes

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