Jiang Z - Search Results

1

Robust and interpretable deep learning system for prognostic stratification of extranodal natural killer/T-cell lymphoma.

Jiang C, Jiang Z, Zhang X, Qu L, Fu K, Teng Y, Lai R, Guo R, Ding C, Li K, Tian R. Jiang C, et al. Among authors: jiang z. Eur J Nucl Med Mol Imaging. 2024 Dec 23. doi: 10.1007/s00259-024-07024-x. Online ahead of print. Eur J Nucl Med Mol Imaging. 2024. PMID: 39714634

2

Robust deep learning-based PET prognostic imaging biomarker for DLBCL patients: a multicenter study.

Jiang C, Qian C, Jiang Z, Teng Y, Lai R, Sun Y, Ni X, Ding C, Xu Y, Tian R. Jiang C, et al. Among authors: jiang z. Eur J Nucl Med Mol Imaging. 2023 Nov;50(13):3949-3960. doi: 10.1007/s00259-023-06405-y. Epub 2023 Aug 22. Eur J Nucl Med Mol Imaging. 2023. PMID: 37606859

3

Prognostic prediction of left ventricular myocardial noncompaction using machine learning and cardiac magnetic resonance radiomics.

Han PL, Jiang ZK, Gu R, Huang S, Jiang Y, Yang ZG, Li K. Han PL, et al. Quant Imaging Med Surg. 2023 Oct 1;13(10):6468-6481. doi: 10.21037/qims-23-372. Epub 2023 Aug 23. Quant Imaging Med Surg. 2023. PMID: 37869344 Free PMC article.

4

Prognostic Value of Left Atrial Reservoir Strain in Left Ventricular Myocardial Noncompaction: A 3.0 T Cardiac Magnetic Resonance Feature Tracking Study.

Han PL, Shen MT, Jiang Y, Jiang ZK, Li K, Yang ZG. Han PL, et al. J Magn Reson Imaging. 2023 Feb;57(2):559-575. doi: 10.1002/jmri.28292. Epub 2022 Jun 15. J Magn Reson Imaging. 2023. PMID: 35703421

5

Wavelet transformation can enhance computed tomography texture features: a multicenter radiomics study for grade assessment of COVID-19 pulmonary lesions.

Jiang Z, Yin J, Han P, Chen N, Kang Q, Qiu Y, Li Y, Lao Q, Sun M, Yang D, Huang S, Qiu J, Li K. Jiang Z, et al. Quant Imaging Med Surg. 2022 Oct;12(10):4758-4770. doi: 10.21037/qims-22-252. Quant Imaging Med Surg. 2022. PMID: 36185061 Free PMC article.

6

Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning.

Kang Q, Lao Q, Li Y, Jiang Z, Qiu Y, Zhang S, Li K. Kang Q, et al. Among authors: jiang z. Med Image Anal. 2022 Jul;79:102443. doi: 10.1016/j.media.2022.102443. Epub 2022 Apr 25. Med Image Anal. 2022. PMID: 35537340

7

Application of deep learning to identify ductal carcinoma in situ and microinvasion of the breast using ultrasound imaging.

Zhu M, Pi Y, Jiang Z, Wu Y, Bu H, Bao J, Chen Y, Zhao L, Peng Y. Zhu M, et al. Among authors: jiang z. Quant Imaging Med Surg. 2022 Sep;12(9):4633-4646. doi: 10.21037/qims-22-46. Quant Imaging Med Surg. 2022. PMID: 36060588 Free PMC article.

8

Development and validation of novel radiomics-based nomograms for the prediction of EGFR mutations and Ki-67 proliferation index in non-small cell lung cancer.

Dong Y, Jiang Z, Li C, Dong S, Zhang S, Lv Y, Sun F, Liu S. Dong Y, et al. Among authors: jiang z. Quant Imaging Med Surg. 2022 May;12(5):2658-2671. doi: 10.21037/qims-21-980. Quant Imaging Med Surg. 2022. PMID: 35502390 Free PMC article.

9

Ultrasound deep learning radiomics and clinical machine learning models to predict low nuclear grade, ER, PR, and HER2 receptor status in pure ductal carcinoma in situ.

Zhu M, Kuang Y, Jiang Z, Liu J, Zhang H, Zhao H, Luo H, Chen Y, Peng Y. Zhu M, et al. Among authors: jiang z. Gland Surg. 2024 Apr 29;13(4):512-527. doi: 10.21037/gs-23-417. Epub 2024 Apr 11. Gland Surg. 2024. PMID: 38720675 Free PMC article.

10

Diagnostic accuracy and potential covariates of artificial intelligence for diagnosing orthopedic fractures: a systematic literature review and meta-analysis.

Zhang X, Yang Y, Shen YW, Zhang KR, Jiang ZK, Ma LT, Ding C, Wang BY, Meng Y, Liu H. Zhang X, et al. Eur Radiol. 2022 Oct;32(10):7196-7216. doi: 10.1007/s00330-022-08956-4. Epub 2022 Jun 27. Eur Radiol. 2022. PMID: 35754091 Review.

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