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Zhuqing Long

Showing results (1-10 of 7) with videos related to

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Journal of Medical Systems|February 2, 2019
A Comparative Texture Analysis Based on NECT and CECT Images to Differentiate Lung Adenocarcinoma from Squamous Cell CarcinomaHan Liu, Bin Jing, Wenjuan Han, et al.
Frontiers in Aging Neuroscience|April 26, 2018
A Brainnetome Atlas Based Mild Cognitive Impairment Identification Using Hurst ExponentZhuqing Long, Bin Jing, Ru Guo, et al.
Frontiers in Neuroscience|December 22, 2018
A Comparative Atlas-Based Recognition of Mild Cognitive Impairment With Voxel-Based MorphometryZhuqing Long, Jinchang Huang, Bo Li, et al.
Neuroscience|June 26, 2016
A support vector machine-based method to identify mild cognitive impairment with multi-level characteristics of magnetic resonance imagingZhuqing Long, Bin Jing, Huagang Yan, et al.
Oncotarget|November 23, 2017
Identifying current and remitted major depressive disorder with the Hurst exponent: a comparative study on two automated anatomical labeling atlasesBin Jing, Zhuqing Long, Han Liu, et al.
Frontiers in Aging Neuroscience|September 18, 2023
Identifying Alzheimer's disease and mild cognitive impairment with atlas-based multi-modal metricsZhuqing Long, Jie Li, Jianghua Fan, et al.
Brain Sciences|June 24, 2022
A Multi-Modal and Multi-Atlas Integrated Framework for Identification of Mild Cognitive ImpairmentZhuqing Long, Jie Li, Haitao Liao, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Journal of Medical Systems|February 2, 2019
A Comparative Texture Analysis Based on NECT and CECT Images to Differentiate Lung Adenocarcinoma from Squamous Cell CarcinomaHan Liu, Bin Jing, Wenjuan Han, et al.
Frontiers in Aging Neuroscience|April 26, 2018
A Brainnetome Atlas Based Mild Cognitive Impairment Identification Using Hurst ExponentZhuqing Long, Bin Jing, Ru Guo, et al.
Frontiers in Neuroscience|December 22, 2018
A Comparative Atlas-Based Recognition of Mild Cognitive Impairment With Voxel-Based MorphometryZhuqing Long, Jinchang Huang, Bo Li, et al.
Neuroscience|June 26, 2016
A support vector machine-based method to identify mild cognitive impairment with multi-level characteristics of magnetic resonance imagingZhuqing Long, Bin Jing, Huagang Yan, et al.
Oncotarget|November 23, 2017
Identifying current and remitted major depressive disorder with the Hurst exponent: a comparative study on two automated anatomical labeling atlasesBin Jing, Zhuqing Long, Han Liu, et al.
Frontiers in Aging Neuroscience|September 18, 2023
Identifying Alzheimer's disease and mild cognitive impairment with atlas-based multi-modal metricsZhuqing Long, Jie Li, Jianghua Fan, et al.
Brain Sciences|June 24, 2022
A Multi-Modal and Multi-Atlas Integrated Framework for Identification of Mild Cognitive ImpairmentZhuqing Long, Jie Li, Haitao Liao, et al.
Pageof 1