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Jiehui Jiang

Showing results (11-20 of 137) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Brain metabolic connectome classify mild cognitive impairment into Alzheimer's dementia<sup>.</sup>Min Wang, Zhuangzhi Yan, Jiehui Jiang
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 9, 2022
An unsupervised region of interest extraction model for tau PET images and its application in the diagnosis of Alzheimer's diseaseRong Shi, Luyao Wang, Jiehui Jiang
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Use of multilayer network modularity and spatiotemporal network switching rate to explore changes of functional brain networks in Alzheimer's diseaseFan Yang, Yuxia Li, Ying Han, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Unsupervised detection of individual atrophy in Alzheimer's diseaseShichen Jin, Peini Zou, Ying Han, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Use of deep learning genomics to discriminate Alzheimer's disease and healthy controlsLanlan Li, Yanru Huang, Ying Han, et al.
Journal of Alzheimer'S Disease : JAD|August 2, 2021
Women Exhibit Lower Global Left Frontal Cortex Connectivity Among Cognitively Unimpaired Elderly Individuals: A Pilot Study from SILCODEWenying Du, Changchang Ding, Jiehui Jiang, et al.
Brain Sciences|August 26, 2022
A Novel Deep Learning Radiomics Model to Discriminate AD, MCI and NC: An Exploratory Study Based on Tau PET Scans from ADNIYan Zhao, Jieming Zhang, Yue Chen, et al.
Bio-Medical Materials and Engineering|September 26, 2015
Study of amyloid-β peptide functional brain networks in AD, MCI and HCJiehui Jiang, Huoqiang Duan, Zheming Huang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Use of radiomic features and support vector machine to discriminate subjective cognitive decline and healthy controls<sup>.</sup>Yue Wu, Taoran Li, Ying Han, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Do cognitive reserve levels affect brain glucose metabolism and amyloid-β depositions in subjective cognitive decline subjects?Chunhua Liu, Guanquan Chen, Ying Han, et al.
Pageof 14

Showing results (11-20 of 137) with videos related to

Sort By:
Pageof 14
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Brain metabolic connectome classify mild cognitive impairment into Alzheimer's dementia<sup>.</sup>Min Wang, Zhuangzhi Yan, Jiehui Jiang
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 9, 2022
An unsupervised region of interest extraction model for tau PET images and its application in the diagnosis of Alzheimer's diseaseRong Shi, Luyao Wang, Jiehui Jiang
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Use of multilayer network modularity and spatiotemporal network switching rate to explore changes of functional brain networks in Alzheimer's diseaseFan Yang, Yuxia Li, Ying Han, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Unsupervised detection of individual atrophy in Alzheimer's diseaseShichen Jin, Peini Zou, Ying Han, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Use of deep learning genomics to discriminate Alzheimer's disease and healthy controlsLanlan Li, Yanru Huang, Ying Han, et al.
Journal of Alzheimer'S Disease : JAD|August 2, 2021
Women Exhibit Lower Global Left Frontal Cortex Connectivity Among Cognitively Unimpaired Elderly Individuals: A Pilot Study from SILCODEWenying Du, Changchang Ding, Jiehui Jiang, et al.
Brain Sciences|August 26, 2022
A Novel Deep Learning Radiomics Model to Discriminate AD, MCI and NC: An Exploratory Study Based on Tau PET Scans from ADNIYan Zhao, Jieming Zhang, Yue Chen, et al.
Bio-Medical Materials and Engineering|September 26, 2015
Study of amyloid-β peptide functional brain networks in AD, MCI and HCJiehui Jiang, Huoqiang Duan, Zheming Huang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Use of radiomic features and support vector machine to discriminate subjective cognitive decline and healthy controls<sup>.</sup>Yue Wu, Taoran Li, Ying Han, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Do cognitive reserve levels affect brain glucose metabolism and amyloid-β depositions in subjective cognitive decline subjects?Chunhua Liu, Guanquan Chen, Ying Han, et al.
Pageof 14