Jiang J - Search Results

1

Study of amyloid-β peptide functional brain networks in AD, MCI and HC.

Jiang J, Duan H, Huang Z, Yu Z; Alzheimer's Disease Neuroimaging Initiative. Jiang J, et al. Biomed Mater Eng. 2015;26 Suppl 1:S2197-205. doi: 10.3233/BME-151525. Biomed Mater Eng. 2015. PMID: 26405999 Free article.

2

Novel lattice Boltzmann method based on integrated edge and region information for medical image segmentation.

Wen J, Yan Z, Jiang J. Wen J, et al. Among authors: jiang j. Biomed Mater Eng. 2014;24(1):1247-52. doi: 10.3233/BME-130926. Biomed Mater Eng. 2014. PMID: 24212019

3

A method of semi-quantifying β-AP in brain PET-CT 11C-PiB images.

Jiang J, Lin X, Wen J, Huang Z, Yan Z. Jiang J, et al. Biomed Mater Eng. 2014;24(1):1367-73. doi: 10.3233/BME-130940. Biomed Mater Eng. 2014. PMID: 24212033

4

Differences in Aβ brain networks in Alzheimer's disease and healthy controls.

Duan H, Jiang J, Xu J, Zhou H, Huang Z, Yu Z, Yan Z; Alzheimer's Disease Neuroimaging Initiative. Duan H, et al. Among authors: jiang j. Brain Res. 2017 Jan 15;1655:77-89. doi: 10.1016/j.brainres.2016.11.019. Epub 2016 Nov 17. Brain Res. 2017. PMID: 27867033

5

A novel individual-level morphological brain networks constructing method and its evaluation in PET and MR images.

Jiang J, Zhou H, Duan H, Liu X, Zuo C, Huang Z, Yu Z, Yan Z; Alzheimer's Disease Neuroimaging Initiative. Jiang J, et al. Heliyon. 2017 Dec 28;3(12):e00475. doi: 10.1016/j.heliyon.2017.e00475. eCollection 2017 Dec. Heliyon. 2017. PMID: 29322101 Free PMC article.

6

Study of the Influence of Age in ¹⁸F-FDG PET Images Using a Data-Driven Approach and Its Evaluation in Alzheimer's Disease.

Jiang J, Sun Y, Zhou H, Li S, Huang Z, Wu P, Shi K, Zuo C, Neuroimaging Initiative AD. Jiang J, et al. Contrast Media Mol Imaging. 2018 Feb 8;2018:3786083. doi: 10.1155/2018/3786083. eCollection 2018. Contrast Media Mol Imaging. 2018. PMID: 29581708 Free PMC article.

7

Glucose Metabolic Brain Network Differences between Chinese Patients with Lewy Body Dementia and Healthy Control.

Chen D, Lu J, Zhou H, Jiang J, Wu P, Guo Q, Ge J, Zhang H, Shi K, Zuo C. Chen D, et al. Among authors: jiang j. Behav Neurol. 2018 May 8;2018:8420658. doi: 10.1155/2018/8420658. eCollection 2018. Behav Neurol. 2018. PMID: 29854020 Free PMC article.

8

Dual-Model Radiomic Biomarkers Predict Development of Mild Cognitive Impairment Progression to Alzheimer's Disease.

Zhou H, Jiang J, Lu J, Wang M, Zhang H, Zuo C; Alzheimer’s Disease Neuroimaging Initiative. Zhou H, et al. Among authors: jiang j. Front Neurosci. 2019 Jan 11;12:1045. doi: 10.3389/fnins.2018.01045. eCollection 2018. Front Neurosci. 2019. PMID: 30686995 Free PMC article.

9

Predicting Alzheimer Disease From Mild Cognitive Impairment With a Deep Belief Network Based on 18F-FDG-PET Images.

Shen T, Jiang J, Lu J, Wang M, Zuo C, Yu Z, Yan Z. Shen T, et al. Among authors: jiang j. Mol Imaging. 2019 Jan-Dec;18:1536012119877285. doi: 10.1177/1536012119877285. Mol Imaging. 2019. PMID: 31552787 Free PMC article.

10

A Novel Detection Tool for Mild Cognitive Impairment Patients Based on Eye Movement and Electroencephalogram.

Jiang J, Yan Z, Sheng C, Wang M, Guan Q, Yu Z, Han Y, Jiang J. Jiang J, et al. J Alzheimers Dis. 2019;72(2):389-399. doi: 10.3233/JAD-190628. J Alzheimers Dis. 2019. PMID: 31594231

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