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61. Yankai Meng#, Yuchen Zhang#，Di Dong#，Chunming Li#，Xiao Liang, Chongda Zhang, Lijuan Wan, Xinming Zhao, Kai Xu, Chunwu Zhou*, Jie Tian*, Hongmei Zhang*, Novel radiomic signature as a prognostic biomarker for locally advanced rectal cancer, Journal of Magnetic Resonance Imaging, 2018, 48(3): 605-614. First published: 13 February 2018. DOI: 10.1002/jmri.25968. |
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62. Yujia Liu#, Huijian Fan#, Di Dong#, Ping Liu#, Bingxi He, Lingwei Meng, Jiaming Chen, Chunlin Chen*, Jinghe Lang*, Jie Tian*, Computed tomography-based radiomic model at node level for the prediction of normal-sized lymph node metastasis in cervical cancer, Translational Oncology, 2021, 14(8): 101113. Available online: 8 May 2021. DOI: 10.1016/j.tranon.2021.101113. |
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63. Lixin Gong, Min Xu, Mengjie Fang, Bingxi He, Hailin Li, Xiangming Fang*, Di Dong*, Jie Tian*, The potential of prostate gland radiomic features in identifying the Gleason score, Computers in Biology and Medicine, 2022, 144: 105318. Available online 11 February 2022. DOI: 10.1016/j.compbiomed.2022.105318. |
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64. Chao Wang#, Hailin Li#, Yeerfan Jiaerken, Peiyu Huang, Lifeng Sun, Fei Dong, Yajing Huang, Di Dong*, Jie Tian*, Minming Zhang*, Building CT radiomics-based models for preoperatively predicting malignant potential and mitotic count of gastrointestinal stromal tumors, Translational Oncology, 2019, 12(9), 1229–1236. Available online: 4 July 2019. DOI: 10.1016/j.tranon.2019.06.005. |
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65. Liwen Zhang#, Bojiang Chen#, Xia Liu#, Jiangdian Song, Mengjie Fang, Chaoen Hu, Di Dong*, Weimin Li*, Jie Tian*, Quantitative biomarkers for prediction of epidermal growth factor receptor mutation in non-small cell lung cancer, Translational Oncology, 2018, 11(1): 94-101. DOI: 10.1016/j.tranon.2017.10.012. |
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66. Hongyu Zhou#, Di Dong#, Bojiang Chen#, Mengjie Fang, Yue Cheng, Yuncun Gan, Rui Zhang, Liwen Zhang, Yali Zang, Zhenyu Liu, Hairong Zheng*, Weimin Li*, Jie Tian*, Diagnosis of distant metastasis of lung cancer: based on clinical and radiomic features, Translational Oncology, 2018, 11(1): 31-36. DOI: 10.1016/j.tranon.2017.10.010. |
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67. Shasha Hu#, Yongbei Zhu#, Di Dong#, Bei Wang, Zuofu Zhou, Chi Wang, Jie Tian*, Yun Peng*, Chest radiographs using a context-fusion convolution neural network (CNN): Can it distinguish the etiology of community-acquired pneumonia (CAP) in children?, Journal of Digital Imaging, 2022: 1-12. Published: 18 May 2022. DOI: 10.1007/s10278-021-00543-1. |
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68. Siwen Wang#, Di Dong#, Wenjuan Zhang#, Hui Hu#, Hailin Li, Yongbei Zhu, Junlin Zhou*, Xiuhong Shan*, Jie Tian*. Specific Borrmann classification in advanced gastric cancer by an ensemble multilayer perceptron network: a multi-center research, Medical Physics, 2021, 48(9): 5017-5028. First published: 14 July 2021. DOI:10.1002/mp.15094. |
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69. Cong Li#, Yun Qin#, Weihan Zhang#, Hanyu Jiang#, Bin Song, Mustafa R. Bashir, Heng Xu, Ting Duan, Mengjie Fang, Lianzhen Zhong, Lingwei Meng, Di Dong*, Zhenhua Hu*, Jie Tian*, Jiankun Hu*, Deep learning-based AI model for signet-ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer, Medical Physics, 2021, 49(3):1535-1546. First published: 14 January 2022. DOI: 10.1002/mp. |
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70. Xiangjun Wu#, Di Dong#, Lu Zhang#, Mengjie Fang, Yongbei Zhu, Bingxi He, Zhaoxiang Ye*, Minming Zhang*, Shuixing Zhang*, Jie Tian*, Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: a multicenter study, Medical Physics, 2021, 48(5): 2374-2385. Published: 13 February 2021. DOI: 10.1002/mp.14767. |
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71. Siwen Wang#, Caizhen Feng#, Di Dong#, Hailin Li, Jing Zhou, Yingjiang Ye, Zaiyi Liu*, Jie Tian*, Yi Wang*, Preoperative computed tomography-guided disease-free survival prediction in gastric cancer: a multicenter radiomics study, Medical Physics, 2020, 47(10): 4862-4871. Published: 26 June 2020. DOI: 10.1002/mp.14350. |
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72. Yuqi Han#, Zhen Xie#, Yali Zang#, Shuaitong Zhang, Dongsheng Gu, Mu Zhou, Olivier Gevaert, Jingwei Wei, Chao Li, Hongyan Chen, Jiang Du, Zhenyu Liu, Di Dong*, Jie Tian*, Dabiao Zhou*, Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas, Journal of Neuro-Oncology, 2018, 140(2): 297-306. DOI: 10.1007/s11060-018-2953-y. |
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73. Xiaoxiao Wang#, Yi Ding#, Siwen Wang#, Di Dong#, Hailin Li, Jian Chen, Hui Hu, Chao Lu, Jie Tian*, Xiuhong Shan*, Intratumoral and peritumoral radiomics analysis for preoperative Lauren classification in gastric cancer, Cancer Imaging, 2020, 20: 83. Published: 23 November 2020. DOI: 10.1186/s40644-020-00358-3. |
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74. Ruijia Sun#, Mengjie Fang#, Lei Tang#, Xiaoting Li, Qiaoyuan Lu, Di Dong*, Jie Tian*, Yingshi Sun*, CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer, European Journal of Radiology, 2020, 132: 109277. Published: September 11, 2020. DOI: 10.1016/j.ejrad.2020.109277. |
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75. Jia Fu#, Mengjie Fang#, Di Dong#, Jian Li#, Ying-shi Sun, Jie Tian*, Lei Tang*, Heterogeneity of metastatic gastrointestinal stromal tumor on texture analysis: DWI texture as potential biomarker of overall survival, European Journal of Radiology, 2020, 125: 108825. Published: January 29, 2020. DOI: 10.1016/j.ejrad.2020.108825. |
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76. Wei Lu#, Lianzhen Zhong#, Di Dong#, Mengjie Fang, Qi Dai, Shaoyi Leng, Liwen Zhang, Wei Sun, Jie Tian*, Jianjun Zheng*, Yinhua Jin*, Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma, European Journal of Radiology, 2019, 118: 231-238. Available online: 19 July 2019. DOI: 10.1016/j.ejrad.2019.07.018. |
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77. Yongbei Zhu#, Chuntao Man#, Lixin Gong#, Di Dong#, Xinyi Yu, Shuo Wang, Mengjie Fang, Siwen Wang, Xiangming Fang*, Xuzhu Chen*, Jie Tian*, A deep learning radiomics model for preoperative grading in meningioma, European Journal of Radiology, 2019, 116: 128-134. Available online: 1 May 2019. DOI: 10.1016/j.ejrad.2019.04.022. |
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78. Xiangde Min#, Min Li#, Di Dong#, Zhaoyan Feng, Peipei Zhang, Zan Ke, Huijuan You, Fangfang Han, He Ma*, Jie Tian*, Liang Wang*, Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: cross-validation of a machine learning method, European Journal of Radiology, 2019, 115: 16-21. Available online: 15 March 2019. DOI: 10.1016/j.ejrad.2019.03.010. |
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79. Min Xu#, Mengjie Fang#, Jian Zou, Shudong Yang, Dongdong Yu, Lianzhen Zhong, Chaoen Hu, Yali Zang, Di Dong*, Jie Tian*, Xiangming Fang*, Using biparametric MRI radiomics signature to differentiate between benign and malignant prostate lesions, European Journal of Radiology, 2019, 114: 38-44. Available online: 25 February 2019. DOI: 10.1016/j.ejrad.2019.02.032. |
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80. Jiaming Chen#, Bingxi He#, Di Dong#, Ping Liu, Hui Duan, Weili Li, Pengfei Li, Lu Wang, Huijian Fan, Siwen Wang, Liwen Zhang, Jie Tian*, Zhipei Huang*, Chunlin Chen*, Noninvasive CT radiomic model for preoperative prediction of lymph node metastasis in early cervical carcinoma, British Journal of Radiology, 2020, 93: 20190558. Published Online: 30 Jan 2020. DOI: 10.1259/bjr.20190558. |