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Xun Jia

  • 2957 Citations
  • 30 h-Index
20022020

Research output per year

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Research Output

A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification

Ren, Y., Tsai, M. Y., Chen, L., Wang, J., Li, S., Liu, Y., Jia, X. & Shen, C., Feb 1 2020, In : International Journal of Computer Assisted Radiology and Surgery. 15, 2, p. 287-295 9 p.

Research output: Contribution to journal › Article

    • 2 Scopus citations

    A Neural Network Approach for Image Reconstruction from a Single X-Ray Projection

    Rouf, S., Shen, C., Cao, Y., Davis, C., Jia, X. & Lou, Y., Jan 1 2020, Medical Image Understanding and Analysis - 23rd Conference, MIUA 2019, Proceedings. Zheng, Y., Williams, B. M. & Chen, K. (eds.). Springer, p. 208-219 12 p. (Communications in Computer and Information Science; vol. 1065 CCIS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    • A new open-source GPU-based microscopic Monte Carlo simulation tool for the calculations of DNA damages caused by ionizing radiation --- Part I: Core algorithm and validation

    Tsai, M. Y., Tian, Z., Qin, N., Yan, C., Lai, Y., Hung, S. H., Chi, Y. & Jia, X., Apr 1 2020, In : Medical physics. 47, 4, p. 1958-1970 13 p.

    Research output: Contribution to journal › Article

    • 1 Scopus citations

    A new open-source GPU-based microscopic Monte Carlo simulation tool for the calculations of DNA damages caused by ionizing radiation — Part II: sensitivity and uncertainty analysis

    Lai, Y., Tsai, M. Y., Tian, Z., Qin, N., Yan, C., Hung, S. H., Chi, Y. & Jia, X., Apr 1 2020, In : Medical physics. 47, 4, p. 1971-1982 12 p.

    Research output: Contribution to journal › Article

    • 1 Scopus citations

    An introduction to deep learning in medical physics: Advantages, potential, and challenges

    Shen, C., Nguyen, D., Zhou, Z., Jiang, S. B., Dong, B. & Jia, X., 2020, In : Physics in medicine and biology. 65, 5, 05TR01.

    Research output: Contribution to journal › Article