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Table representation of search results timeline featuring number of search results per year.
Year | Number of Results |
---|---|
2020 | 1 |
2022 | 4 |
2023 | 2 |
2024 | 0 |
Search Results
7 results
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Page 1
Application of deep learning reconstruction of ultra-low-dose abdominal CT in the diagnosis of renal calculi.
Insights Imaging. 2022 Oct 8;13(1):163. doi: 10.1186/s13244-022-01300-w.
Insights Imaging. 2022.
PMID: 36209195
Free PMC article.
Value of deep learning reconstruction at ultra-low-dose CT for evaluation of urolithiasis.
Zhang G, Zhang X, Xu L, Bai X, Jin R, Xu M, Yan J, Jin Z, Sun H.
Zhang G, et al.
Eur Radiol. 2022 Sep;32(9):5954-5963. doi: 10.1007/s00330-022-08739-x. Epub 2022 Mar 31.
Eur Radiol. 2022.
PMID: 35357541
Item in Clipboard
CT-based radiomics to predict muscle invasion in bladder cancer.
Zhang G, Wu Z, Zhang X, Xu L, Mao L, Li X, Xiao Y, Ji Z, Sun H, Jin Z.
Zhang G, et al.
Eur Radiol. 2022 May;32(5):3260-3268. doi: 10.1007/s00330-021-08426-3. Epub 2022 Jan 22.
Eur Radiol. 2022.
PMID: 35064316
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Utilisation of virtual non-contrast images and virtual mono-energetic images acquired from dual-layer spectral CT for renal cell carcinoma: image quality and radiation dose.
Zhang X, Zhang G, Xu L, Bai X, Lu X, Yu S, Sun H, Jin Z.
Zhang X, et al.
Insights Imaging. 2022 Jan 24;13(1):12. doi: 10.1186/s13244-021-01146-8.
Insights Imaging. 2022.
PMID: 35072807
Free PMC article.
Item in Clipboard
CT-based radiomics to predict the pathological grade of bladder cancer.
Zhang G, Xu L, Zhao L, Mao L, Li X, Jin Z, Sun H.
Zhang G, et al.
Eur Radiol. 2020 Dec;30(12):6749-6756. doi: 10.1007/s00330-020-06893-8. Epub 2020 Jun 29.
Eur Radiol. 2020.
PMID: 32601949
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Development and clinical utility analysis of a prostate zonal segmentation model on T2-weighted imaging: a multicenter study.
Xu L, Zhang G, Zhang D, Zhang J, Zhang X, Bai X, Chen L, Peng Q, Jin R, Mao L, Li X, Jin Z, Sun H.
Xu L, et al.
Insights Imaging. 2023 Mar 16;14(1):44. doi: 10.1186/s13244-023-01394-w.
Insights Imaging. 2023.
PMID: 36928683
Free PMC article.
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The feasibility of contrast-enhanced CT to identify the adhesive renal venous tumor thrombus of renal cell carcinoma.
Zhang X, Zhang J, Zhang G, Xu L, Bai X, Zhang J, Chen L, Peng Q, Jin Z, Sun H.
Zhang X, et al.
Eur Radiol. 2023 Nov;33(11):7429-7437. doi: 10.1007/s00330-023-09776-w. Epub 2023 Jun 14.
Eur Radiol. 2023.
PMID: 37314475
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