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Qin, Nan; Shen, Chenyang; Tsai, Min-Yu et al. (2018) Full Monte Carlo-Based Biologic Treatment Plan Optimization System for Intensity Modulated Carbon Ion Therapy on Graphics Processing Unit. Int J Radiat Oncol Biol Phys 100:235-243
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Shen, Chenyang; Li, Bin; Chen, Liyuan et al. (2018) Material elemental decomposition in dual and multi-energy CT via a sparsity-dictionary approach for proton stopping power ratio calculation. Med Phys 45:1491-1503
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Story, Michael D; Wang, Jing (2018) Developing Predictive or Prognostic Biomarkers for Charged Particle Radiotherapy. Int J Part Ther 5:94-102
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Shusharina, Nadya; Liao, Zhongxing; Mohan, Radhe et al. (2018) Differences in lung injury after IMRT or proton therapy assessed by 18FDG PET imaging. Radiother Oncol 128:147-153
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Li, B; Lee, H C; Duan, X et al. (2017) Comprehensive analysis of proton range uncertainties related to stopping-power-ratio estimation using dual-energy CT imaging. Phys Med Biol 62:7056-7074
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Mohamad, Osama; Sishc, Brock J; Saha, Janapriya et al. (2017) Carbon Ion Radiotherapy: A Review of Clinical Experiences and Preclinical Research, with an Emphasis on DNA Damage/Repair. Cancers (Basel) 9:
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Qin, Nan; Pinto, Marco; Tian, Zhen et al. (2017) Initial development of goCMC: a GPU-oriented fast cross-platform Monte Carlo engine for carbon ion therapy. Phys Med Biol 62:3682-3699
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Li, Yongbao; Tian, Zhen; Song, Ting et al. (2017) A new approach to integrate GPU-based Monte Carlo simulation into inverse treatment plan optimization for proton therapy. Phys Med Biol 62:289-305
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Tian, Zhen; Jiang, Steve B; Jia, Xun (2017) Accelerated Monte Carlo simulation on the chemical stage in water radiolysis using GPU. Phys Med Biol 62:3081-3096
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Qin, Nan; Botas, Pablo; Giantsoudi, Drosoula et al. (2016) Recent developments and comprehensive evaluations of a GPU-based Monte Carlo package for proton therapy. Phys Med Biol 61:7347-7362
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Showing the most recent 10 out of 15 publications
