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Table representation of search results timeline featuring number of search results per year.
Year | Number of Results |
---|---|
2019 | 2 |
2020 | 2 |
2021 | 1 |
2022 | 1 |
2023 | 1 |
2024 | 1 |
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A subregion-based RadioFusionOmics model discriminates between grade 4 astrocytoma and glioblastoma on multisequence MRI.
J Cancer Res Clin Oncol. 2024 Feb 2;150(2):73. doi: 10.1007/s00432-023-05603-3.
J Cancer Res Clin Oncol. 2024.
PMID: 38305926
Free PMC article.
Machine learning based multi-label classification of single or mixed-composition urinary stones in in vivo spectral CT.
Li X, Tang P, Liang F, Wang L, Huang X, Li J, Zhen X.
Li X, et al.
Med Phys. 2023 Feb;50(2):661-674. doi: 10.1002/mp.16154. Epub 2023 Jan 7.
Med Phys. 2023.
PMID: 36520004
Item in Clipboard
Fuhrman nuclear grade prediction of clear cell renal cell carcinoma: influence of volume of interest delineation strategies on machine learning-based dynamic enhanced CT radiomics analysis.
Luo S, Wei R, Lu S, Lai S, Wu J, Wu Z, Pang X, Wei X, Jiang X, Zhen X, Yang R.
Luo S, et al.
Eur Radiol. 2022 Apr;32(4):2340-2350. doi: 10.1007/s00330-021-08322-w. Epub 2021 Oct 12.
Eur Radiol. 2022.
PMID: 34636962
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Digital breast tomosynthesis versus digital mammography: integration of image modalities enhances deep learning-based breast mass classification.
Li X, Qin G, He Q, Sun L, Zeng H, He Z, Chen W, Zhen X, Zhou L.
Li X, et al.
Eur Radiol. 2020 Feb;30(2):778-788. doi: 10.1007/s00330-019-06457-5. Epub 2019 Nov 5.
Eur Radiol. 2020.
PMID: 31691121
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Radiomics of small renal masses on multiphasic CT: accuracy of machine learning-based classification models for the differentiation of renal cell carcinoma and angiomyolipoma without visible fat.
Yang R, Wu J, Sun L, Lai S, Xu Y, Liu X, Ma Y, Zhen X.
Yang R, et al.
Eur Radiol. 2020 Feb;30(2):1254-1263. doi: 10.1007/s00330-019-06384-5. Epub 2019 Aug 29.
Eur Radiol. 2020.
PMID: 31468159
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