個人檔案
研究專長
醫學影像整合與應用
核子醫學與分子影像
醫學物理與輻射劑量學
電腦斷層
放射治療
教育/學術資格
PhD, 生醫工程與環境科學, National Tsing Hua University
指紋
查看啟用 Tung-Hsin Wu 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
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過去五年中的合作和熱門研究領域
國家/地區層面的近期外部共同作業。按一下圓點深入探索詳細資料,或
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ConvNeXt-2U: A 3-D Deep Learning-Based Segmentation Model for Unified and Automatic Segmentation of Lungs, Normal Liver and Tumors in Y-90 Radioembolization Dosimetry
Chen, G., Wang, H., Lu, Z., Wu, T. H., Lin, K. H. & Mok, G. S. P., 2025, 於: IEEE Transactions on Radiation and Plasma Medical Sciences. 9, 4, p. 468-477 10 p.研究成果: Article › 同行評審
2 引文 斯高帕斯(Scopus) -
Deriving tissue physical densities based on Dixon magnetic resonance images and tissue composition prior knowledge for voxel-based internal dosimetry
Shih, C. T., Lin, K. H., Yang, B. H., Li, C. Y., Lin, T. L., Mok, G. S. P. & Wu, T. H., 12月 2025, 於: EJNMMI Physics. 12, 1, 36.研究成果: Article › 同行評審
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Predicting complications and morbidities in PAD patients through lower extremity compositions with dual-energy CT and material decomposition: a 2-year follow-up observational study
Lin, D. C., Tsai, P. S., Lin, T. L., Huang, W. H., Liu, Y. P., Wu, T. H. & Shih, C., 12月 2025, 於: BMC Cardiovascular Disorders. 25, 1, 268.研究成果: Article › 同行評審
開啟存取1 引文 斯高帕斯(Scopus) -
Synthesizing whole-body CT images from Dixon MR images using tissue composition prior knowledge and a parametric physical model
Shih, C. T., Lin, K. H., Yang, B. H., Li, C. Y., Mok, G. S. P. & Wu, T. H., 10月 2025, 於: Computers in Biology and Medicine. 197, 110987.研究成果: Article › 同行評審
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Deep learning-based multi-frequency denoising for myocardial perfusion SPECT
Du, Y., Sun, J., Li, C. Y., Yang, B. H., Wu, T. H. & Mok, G. S. P., 12月 2024, 於: EJNMMI Physics. 11, 1, 80.研究成果: Article › 同行評審
開啟存取7 引文 斯高帕斯(Scopus)