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Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT.
Eur J Nucl Med Mol Imaging. 2020 Nov;47(12):2742-2752. doi: 10.1007/s00259-020-04800-3. Epub 2020 Apr 20.
Eur J Nucl Med Mol Imaging. 2020.
PMID: 32314026
Segmentation-guided multi-modal registration of liver images for dose estimation in SIRT.
Tang X, Jafargholi Rangraz E, Heeren R, Coudyzer W, Maleux G, Baete K, Verslype C, Gooding MJ, Deroose CM, Nuyts J.
Tang X, et al. Among authors: jafargholi rangraz e.
EJNMMI Phys. 2022 Jan 25;9(1):3. doi: 10.1186/s40658-022-00432-8.
EJNMMI Phys. 2022.
PMID: 35076801
Free PMC article.
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Multi-modal image analysis for semi-automatic segmentation of the total liver and liver arterial perfusion territories for radioembolization.
Jafargholi Rangraz E, Coudyzer W, Maleux G, Baete K, Deroose CM, Nuyts J.
Jafargholi Rangraz E, et al.
EJNMMI Res. 2019 Feb 20;9(1):19. doi: 10.1186/s13550-019-0485-x.
EJNMMI Res. 2019.
PMID: 30788640
Free PMC article.
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Quantitative comparison of pre-treatment predictive and post-treatment measured dosimetry for selective internal radiation therapy using cone-beam CT for tumor and liver perfusion territory definition.
Jafargholi Rangraz E, Tang X, Van Laeken C, Maleux G, Dekervel J, Van Cutsem E, Verslype C, Baete K, Nuyts J, Deroose CM.
Jafargholi Rangraz E, et al.
EJNMMI Res. 2020 Aug 14;10(1):94. doi: 10.1186/s13550-020-00675-5.
EJNMMI Res. 2020.
PMID: 32797332
Free PMC article.
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