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Xianjun Zeng

Researcher at Nanchang University

Publications -  63
Citations -  2489

Xianjun Zeng is an academic researcher from Nanchang University. The author has contributed to research in topics: Resting state fMRI & Medicine. The author has an hindex of 16, co-authored 51 publications receiving 1393 citations. Previous affiliations of Xianjun Zeng include Jiangxi University of Traditional Chinese Medicine & The Chinese University of Hong Kong.

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A deep learning algorithm using CT images to screen for Corona Virus Disease (COVID-19)

TL;DR: The results demonstrate the proof-of-principle for using artificial intelligence to extract radiological features for timely and accurate COVID-19 diagnosis.
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A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19).

TL;DR: In this article, a deep learning algorithm was used to detect the presence of COVID-19 in CT images during the 2015-2016 influenza season, achieving an accuracy of 89.5% with a specificity of 0.88 and sensitivity of 0.87.
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Gender Differences in Regional Brain Activity in Patients with Chronic Primary Insomnia: Evidence from a Resting-State fMRI Study.

TL;DR: Female PCPis showed more regional brain differences with higher and lower ALFF responses than male PCPIs, however, they shared analogous excessive hyperarousal mechanism and wide variations in aberrant brain areas.
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Prevalence and risk factors of lumbar spondylolisthesis in elderly Chinese men and women.

TL;DR: Lower Physical Activity Scale for the Elderly (PASE) score was associated with spondylolisthesis in men; higher body weight, angina and lower grip strength were associated with SPD in women; and men are more likely to have retrolisthesis.
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Prevalence and Sex Difference of Lumbar Disc Space Narrowing in Elderly Chinese Men and Women: Osteoporotic Fractures in Men (Hong Kong) and Osteoporotic Fractures in Women (Hong Kong) Studies

TL;DR: The prevalence and severity ofDisc space narrowing are higher in elderly women than in elderly men, and a disc space narrowing score≥3 was associated with older age, higher spine and hip BMD, low back pain, and restricted leg mobility.