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Year | Number of Results |
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2020 | 2 |
2021 | 3 |
2023 | 1 |
2024 | 0 |
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Page 1
A Quality Control System for Automated Prostate Segmentation on T2-Weighted MRI.
Diagnostics (Basel). 2020 Sep 18;10(9):714. doi: 10.3390/diagnostics10090714.
Diagnostics (Basel). 2020.
PMID: 32961895
Free PMC article.
Editorial for "MRI Radiomics-Based Machine Learning for Predict of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions".
Nketiah GA, Bathen TF.
Nketiah GA, et al.
J Magn Reson Imaging. 2021 Nov;54(5):1474-1475. doi: 10.1002/jmri.27752. Epub 2021 May 27.
J Magn Reson Imaging. 2021.
PMID: 34046969
No abstract available.
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The impact of pre-processing and disease characteristics on reproducibility of T2-weighted MRI radiomics features.
Dewi DEO, Sunoqrot MRS, Nketiah GA, Sandsmark E, Giskeødegård GF, Langørgen S, Bertilsson H, Elschot M, Bathen TF.
Dewi DEO, et al.
MAGMA. 2023 Dec;36(6):945-956. doi: 10.1007/s10334-023-01112-z. Epub 2023 Aug 9.
MAGMA. 2023.
PMID: 37556085
Free PMC article.
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Automated reference tissue normalization of T2-weighted MR images of the prostate using object recognition.
Sunoqrot MRS, Nketiah GA, Selnæs KM, Bathen TF, Elschot M.
Sunoqrot MRS, et al. Among authors: nketiah ga.
MAGMA. 2021 Apr;34(2):309-321. doi: 10.1007/s10334-020-00871-3. Epub 2020 Jul 31.
MAGMA. 2021.
PMID: 32737628
Free PMC article.
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Utility of T2-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter study.
Nketiah GA, Elschot M, Scheenen TW, Maas MC, Bathen TF, Selnæs KM; PCa-MAP Consortium.
Nketiah GA, et al.
Sci Rep. 2021 Jan 22;11(1):2085. doi: 10.1038/s41598-021-81272-x.
Sci Rep. 2021.
PMID: 33483545
Free PMC article.
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