Shu Z - Search Results

1

Prediction of Malignant Acute Middle Cerebral Artery Infarction via Computed Tomography Radiomics.

Wen X, Li Y, He X, Xu Y, Shu Z, Hu X, Chen J, Jiang H, Gong X. Wen X, et al. Among authors: shu z. Front Neurosci. 2020 Jul 7;14:708. doi: 10.3389/fnins.2020.00708. eCollection 2020. Front Neurosci. 2020. PMID: 32733197 Free PMC article.

2

[Application value of texture analysis of magnetic resonance images in prediction of neoadjuvant chemoradiotherapy efficacy for rectal cancer].

Shu Z, Fang S, Ding Z, Mao D, Pang P, Gong X. Shu Z, et al. Zhonghua Wei Chang Wai Ke Za Zhi. 2018 Sep 25;21(9):1051-1058. Zhonghua Wei Chang Wai Ke Za Zhi. 2018. PMID: 30269327 Chinese.

3

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. Among authors: shu z. 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.

4

MRI-based Radiomics nomogram to detect primary rectal cancer with synchronous liver metastases.

Shu Z, Fang S, Ding Z, Mao D, Cai R, Chen Y, Pang P, Gong X. Shu Z, et al. Sci Rep. 2019 Mar 4;9(1):3374. doi: 10.1038/s41598-019-39651-y. Sci Rep. 2019. PMID: 30833648 Free PMC article.

5

Prediction of efficacy of neoadjuvant chemoradiotherapy for rectal cancer: the value of texture analysis of magnetic resonance images.

Shu Z, Fang S, Ye Q, Mao D, Cao H, Pang P, Gong X. Shu Z, et al. Abdom Radiol (NY). 2019 Nov;44(11):3775-3784. doi: 10.1007/s00261-019-01971-y. Abdom Radiol (NY). 2019. PMID: 30852633

6

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. 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

7

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. Eur Radiol. 2020 Jun;30(6):3046-3058. doi: 10.1007/s00330-020-06676-1. Epub 2020 Feb 21. Eur Radiol. 2020. PMID: 32086580

8

Predicting Chronic Myocardial Ischemia Using CCTA-Based Radiomics Machine Learning Nomogram.

Shu ZY, Cui SJ, Zhang YQ, Xu YY, Hung SC, Fu LP, Pang PP, Gong XY, Jin QY. Shu ZY, et al. J Nucl Cardiol. 2022 Feb;29(1):262-274. doi: 10.1007/s12350-020-02204-2. Epub 2020 Jun 18. J Nucl Cardiol. 2022. PMID: 32557238 Clinical Trial.

9

Machine Learning-Based Radiomics Nomogram Using Magnetic Resonance Images for Prediction of Neoadjuvant Chemotherapy Efficacy in Breast Cancer Patients.

Chen S, Shu Z, Li Y, Chen B, Tang L, Mo W, Shao G, Shao F. Chen S, et al. Among authors: shu z. Front Oncol. 2020 Aug 13;10:1410. doi: 10.3389/fonc.2020.01410. eCollection 2020. Front Oncol. 2020. PMID: 32923392 Free PMC article.

10

Predicting the progression of Parkinson's disease using conventional MRI and machine learning: An application of radiomic biomarkers in whole-brain white matter.

Shu ZY, Cui SJ, Wu X, Xu Y, Huang P, Pang PP, Zhang M. Shu ZY, et al. Magn Reson Med. 2021 Mar;85(3):1611-1624. doi: 10.1002/mrm.28522. Epub 2020 Oct 5. Magn Reson Med. 2021. PMID: 33017475

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Article Language

Species

Sex

Age

Other

958 results

Search Page

Filters