Wang M - Search Results

1

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: wang m. Mol Imaging. 2019 Jan-Dec;18:1536012119877285. doi: 10.1177/1536012119877285. Mol Imaging. 2019. PMID: 31552787 Free PMC article.

2

Using radiomics-based modelling to predict individual progression from mild cognitive impairment to Alzheimer's disease.

Jiang J, Wang M, Alberts I, Sun X, Li T, Rominger A, Zuo C, Han Y, Shi K, Initiative FTADN. Jiang J, et al. Among authors: wang m. Eur J Nucl Med Mol Imaging. 2022 Jun;49(7):2163-2173. doi: 10.1007/s00259-022-05687-y. Epub 2022 Jan 15. Eur J Nucl Med Mol Imaging. 2022. PMID: 35032179

3

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: wang m. Front Neurosci. 2019 Jan 11;12:1045. doi: 10.3389/fnins.2018.01045. eCollection 2018. Front Neurosci. 2019. PMID: 30686995 Free PMC article.

4

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. Among authors: wang m. J Alzheimers Dis. 2019;72(2):389-399. doi: 10.3233/JAD-190628. J Alzheimers Dis. 2019. PMID: 31594231

5

Brain metabolic connectome classify mild cognitive impairment into Alzheimer's dementia.

Wang M, Yan Z, Jiang J. Wang M, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:32-35. doi: 10.1109/EMBC.2019.8857104. Annu Int Conf IEEE Eng Med Biol Soc. 2019. PMID: 31945838

6

Individual brain metabolic connectome indicator based on Kullback-Leibler Divergence Similarity Estimation predicts progression from mild cognitive impairment to Alzheimer's dementia.

Wang M, Jiang J, Yan Z, Alberts I, Ge J, Zhang H, Zuo C, Yu J, Rominger A, Shi K; Alzheimer’s Disease Neuroimaging Initiative. Wang M, et al. Eur J Nucl Med Mol Imaging. 2020 Nov;47(12):2753-2764. doi: 10.1007/s00259-020-04814-x. Epub 2020 Apr 22. Eur J Nucl Med Mol Imaging. 2020. PMID: 32318784 Free PMC article.

7

A Novel Metabolic Connectome Method to Predict Progression to Mild Cognitive Impairment.

Wang M, Yan Z, Xiao SY, Zuo C, Jiang J. Wang M, et al. Behav Neurol. 2020 Aug 18;2020:2825037. doi: 10.1155/2020/2825037. eCollection 2020. Behav Neurol. 2020. PMID: 32908613 Free PMC article.

8

Subjective cognitive decline-related worries modulate the relationship between global amyloid load and gray matter volume in preclinical Alzheimer's disease.

Wang X, Wang M, Wang X, Zhou F, Jiang J, Liu H, Han Y. Wang X, et al. Among authors: wang m. Brain Imaging Behav. 2022 Jun;16(3):1088-1097. doi: 10.1007/s11682-021-00558-w. Epub 2021 Nov 6. Brain Imaging Behav. 2022. PMID: 34743296

9

Combining PET with MRI to improve predictions of progression from mild cognitive impairment to Alzheimer's disease: an exploratory radiomic analysis study.

Yang F, Jiang J, Alberts I, Wang M, Li T, Sun X, Rominger A, Zuo C, Shi K. Yang F, et al. Among authors: wang m. Ann Transl Med. 2022 May;10(9):513. doi: 10.21037/atm-21-4349. Ann Transl Med. 2022. PMID: 35928737 Free PMC article.

10

Brain Functional and Structural Signatures in Parkinson's Disease.

Liu C, Jiang J, Zhou H, Zhang H, Wang M, Jiang J, Wu P, Ge J, Wang J, Ma Y, Zuo C. Liu C, et al. Among authors: wang j, wang m. Front Aging Neurosci. 2020 May 26;12:125. doi: 10.3389/fnagi.2020.00125. eCollection 2020. Front Aging Neurosci. 2020. PMID: 32528272 Free PMC article.

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