发表论文
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Four-Dimensional Cone Beam CT Imaging Using a Single Routine Scan via Deep Learning. IEEE TRANSACTIONS ON MEDICAL IMAGING[J]. 2023, 第 5 作者42(5): 1495-1508, http://dx.doi.org/10.1109/TMI.2022.3231461.[5] Tan, Min, Peng, Huixian, Liang, Xiaokun, Xie, Yaoqin, Xia, Zeyang, Xiong, Jing. LSTformer: Long Short-Term Transformer for Real Time Respiratory Prediction. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS[J]. 2022, 第 4 作者26(10): 5247-5257, [6] Dong, Guoya, Zhang, Chenglong, Deng, Lei, Zhu, Yulin, Dai, Jingjing, Song, Liming, Meng, Ruoyan, Niu, Tianye, Liang, Xiaokun, Xie, Yaoqin. A deep unsupervised learning framework for the 4D CBCT artifact correction. PHYSICS IN MEDICINE AND BIOLOGY[J]. 2022, 第 10 作者 通讯作者 67(5): http://dx.doi.org/10.1088/1361-6560/ac55a5.[7] Yue, Meiyan, Xue, Xiaoguang, Wang, Zhanyu, Lambo, Ricardo Lewis, Zhao, Wei, Xie, Yaoqin, Cai, Jing, Qin, Wenjian. Dose prediction via distance-guided deep learning: Initial development for nasopharyngeal carcinoma radiotherapy. RADIOTHERAPY AND ONCOLOGY[J]. 2022, 第 6 作者170: 198-204, http://dx.doi.org/10.1016/j.radonc.2022.03.012.[8] Zhang, Zhicheng, Yu, Shaode, Qin, Wenjian, Liang, Xiaokun, Xie, Yaoqin, Cao, Guohua. Self-supervised CT super-resolution with hybrid model. COMPUTERS IN BIOLOGY AND MEDICINE[J]. 2021, 第 5 作者 通讯作者 138: http://dx.doi.org/10.1016/j.compbiomed.2021.104775.[9] Liang, Xiaokun, Li, Na, Zhang, Zhicheng, Xiong, Jing, Zhou, Shoujun, Xie, Yaoqin. Incorporating the hybrid deformable model for improving the performance of abdominal CT segmentation via multi-scale feature fusion network. MEDICAL IMAGE ANALYSIS[J]. 2021, 第 6 作者73: http://dx.doi.org/10.1016/j.media.2021.102156.[10] Li, Wen, Kazemifar, Samaneh, Bai, Ti, Nguyen, Dan, Weng, Yaochung, Li, Yafen, Xia, Jun, Xiong, Jing, Xie, Yaoqin, Owrangi, Amir, Jiang, Steve. Synthesizing CT images from MR images with deep learning: model generalization for different datasets through transfer learning. BIOMEDICAL PHYSICS & ENGINEERING EXPRESS[J]. 2021, 第 9 作者7(2): [11] Yongdong Zhuang, Yaoqin Xie, Luhua Wang, Shaomin Huang, LiXin Chen, Yuenan Wang. DVH Prediction for VMAT in NPC with GRU-RNN: An Improved Method by Considering Biological Effects. BIOMED RESEARCH INTERNATIONAL[J]. 2021, 第 2 作者2021: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837766/.[12] Wu, Jianan, Xie, Yaoqin, Ding, Zhen, Li, Feipeng, Wang, Luhua. Monte Carlo study of TG-43 dosimetry parameters of GammaMed Plus high dose rate Ir-192 brachytherapy source using TOPAS. JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS[J]. 2021, 第 2 作者22(6): 146-153, http://dx.doi.org/10.1002/acm2.13252.[13] Ouyang, Xiaoyun, Liang, Xiaokun, Xie, Yaoqin. Preliminary Feasibility Study of Imaging Registration Between Supine and Prone Breast CT in Breast Cancer Radiotherapy Using Residual Recursive Cascaded Networks. 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