Author

Shi‐Xian Cui

Chinese Academy of SciencesORCID 0000-0003-4832-6168Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Chao‐Gan YaniD· 2 shared F. Xavier CastellanosiD· 2 shared Zhao‐Yu Deng· 2 shared Ai‐Xia ZhangiD· 1 shared Baojuan Li AiD· 1 shared Bin LuiD· 1 shared Bin LüiD· 1 shared Cancan He· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersNeuroscience

Chao‐Gan YanORCID

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2 papers

Recent·Most cited

Neuroscience中国科学通报：英文版Peer-reviewedJun 4, 2025

Subgenual Anterior Cingulate Cortex Functional Connectivity Abnormalities in Depression: Insights from Brain Imaging Big Data and Precision-Guided Personalized Intervention via Transcranial Magnetic Stimulation

Xiao Chen, Bin Lü, Yuwei Wang…·Kai Wang

The paper identifies sgACC functional connectivity abnormalities in depression using large-scale brain imaging data and develops an individualized TMS targeting algorithm to improve treatment outcomes.

32 citationstop 1%

humanimaging

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NeuroscienceJournal Of Big DataPeer-reviewedOct 13, 2022

A Practical Alzheimer Disease Classifier via Brain Imaging-Based Deep Learning on 85,721 Samples

Bin Lu, Huixian Li, Zhikai Chang…·the Alzheimer’s Disease Neuroimaging Initiative

This paper develops a deep learning classifier for Alzheimer's disease using brain MRI data from 85,721 scans, achieving high accuracy across multiple independent datasets.

101 citationstop 1%

humanimaging

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