Author

Jinxiang Hu

University of Kansas Medical CenterORCID 0000-0002-8812-722XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:rat· 1

Frequent Co-Authors

Alzheimer’s Disease Neuroimaging Initiative· 1 shared Brian T. AndrewsiD· 1 shared Chong WuiD· 1 shared Heather M MinchewiD· 1 shared Ivo D. DinoviD· 1 shared Janna L. HarrisiD· 1 shared Jian KangiD· 1 shared Jonathan D. Mahnken· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Alzheimer’s Disease Neuroimaging Initiative

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2 papers

Recent·Most cited

NeuroscienceBrain ResearchPeer-reviewedMay 17, 2022

Comparing Imaging Biomarkers of Cerebral Edema after TBI in Young Adult Male and Female Rats

Heather M Minchew, Sadie L. Ferren, Sarah K. Christian…·Janna L. Harris

The paper compares MRI biomarkers of cerebral edema in male and female rats after TBI, finding sex differences in correlations between imaging metrics and brain water content.

12 citations

ratimaging

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NeurosciencebioRxivPreprintJul 29, 2021

A machine-learning approach for detection of local brain networks and marginally weak signals identifies novel AD/MCI differentiating connectomic neuroimaging biomarkers

Yanming Li, Jian Kang, Chong Wu…·Alzheimer’s Disease Neuroimaging Initiative

The paper introduces a machine learning method to detect brain connectomic biomarkers differentiating Alzheimer's disease and mild cognitive impairment using FDG-PET data.

1 citation

humanimaging

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