Shao Y - Search Results

1

Radiomics nomogram based on MRI for predicting white matter hyperintensity progression in elderly adults.

Shu ZY, Shao Y, Xu YY, Ye Q, Cui SJ, Mao DW, Pang PP, Gong XY. Shu ZY, et al. Among authors: shao y. J Magn Reson Imaging. 2020 Feb;51(2):535-546. doi: 10.1002/jmri.26813. Epub 2019 Jun 11. J Magn Reson Imaging. 2020. PMID: 31187560

2

Predicting the Development of Normal-Appearing White Matter With Radiomics in the Aging Brain: A Longitudinal Clinical Study.

Shao Y, Chen Z, Ming S, Ye Q, Shu Z, Gong C, Pang P, Gong X. Shao Y, et al. Front Aging Neurosci. 2018 Nov 28;10:393. doi: 10.3389/fnagi.2018.00393. eCollection 2018. Front Aging Neurosci. 2018. PMID: 30546304 Free PMC article.

3

Radiomics from magnetic resonance imaging may be used to predict the progression of white matter hyperintensities and identify associated risk factors.

Shu Z, Xu Y, Shao Y, Pang P, Gong X. Shu Z, et al. Among authors: shao y. Eur Radiol. 2020 Jun;30(6):3046-3058. doi: 10.1007/s00330-020-06676-1. Epub 2020 Feb 21. Eur Radiol. 2020. PMID: 32086580

4

Prediction of the progression from mild cognitive impairment to Alzheimer's disease using a radiomics-integrated model.

Shu ZY, Mao DW, Xu YY, Shao Y, Pang PP, Gong XY. Shu ZY, et al. Among authors: shao y. Ther Adv Neurol Disord. 2021 Jul 15;14:17562864211029551. doi: 10.1177/17562864211029551. eCollection 2021. Ther Adv Neurol Disord. 2021. PMID: 34349837 Free PMC article.

5

A New Classification System for Postinterventional Cerebral Hyperdensity: The Influence on Hemorrhagic Transformation and Clinical Prognosis in Acute Stroke.

Shao Y, Xu Y, Li Y, Wen X, He X. Shao Y, et al. Neural Plast. 2021 Nov 23;2021:6144304. doi: 10.1155/2021/6144304. eCollection 2021. Neural Plast. 2021. PMID: 34858495 Free PMC article.

6

Comparing the Performance of Two Radiomic Models to Predict Progression and Progression Speed of White Matter Hyperintensities.

Shao Y, Ruan J, Xu Y, Shu Z, He X. Shao Y, et al. Front Neuroinform. 2021 Dec 1;15:789295. doi: 10.3389/fninf.2021.789295. eCollection 2021. Front Neuroinform. 2021. PMID: 34924990 Free PMC article.

7

Predicting mild cognitive impairment progression to Alzheimer's disease based on machine learning analysis of cortical morphological features.

Wang W, Peng J, Hou J, Yuan Z, Xie W, Mao G, Pan Y, Shao Y, Shu Z. Wang W, et al. Among authors: shao y. Aging Clin Exp Res. 2023 Aug;35(8):1721-1730. doi: 10.1007/s40520-023-02456-1. Epub 2023 Jul 5. Aging Clin Exp Res. 2023. PMID: 37405620

8

Comparison between morphometry and radiomics: detecting normal brain aging based on grey matter.

Yan Y, He X, Xu Y, Peng J, Zhao F, Shao Y. Yan Y, et al. Among authors: shao y. Front Aging Neurosci. 2024 Apr 15;16:1366780. doi: 10.3389/fnagi.2024.1366780. eCollection 2024. Front Aging Neurosci. 2024. PMID: 38685908 Free PMC article.

9

Predicting Alzheimer's progression in MCI: a DTI-based white matter network model.

Song Q, Peng J, Shu Z, Xu Y, Shao Y, Yu W, Yu L. Song Q, et al. Among authors: shao y. BMC Med Imaging. 2024 May 3;24(1):103. doi: 10.1186/s12880-024-01284-7. BMC Med Imaging. 2024. PMID: 38702626 Free PMC article.

10

Prediction of cognitive decline in Parkinson's disease based on MRI radiomics and clinical features: A multicenter study.

Jian Y, Peng J, Wang W, Hu T, Wang J, Shi H, Li X, Chen J, Xu Y, Shao Y, Song Q, Shu Z. Jian Y, et al. Among authors: shao y. CNS Neurosci Ther. 2024 Jun;30(6):e14789. doi: 10.1111/cns.14789. CNS Neurosci Ther. 2024. PMID: 38923776 Free PMC article.

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