1.  Di Dong#, Mengjie Fang#, Lei Tang#, Xiuhong Shan#, Jianbo Gao#, Francesco Giganti#, Rongpin Wang, Xin Chen, Xiaoxiao Wang, Diego Palumbo, Jia Fu, Wuchao Li, Jing Li, Lianzhen Zhong, Francesco De Cobelli, Jiafu Ji*, Zaiyi Liu*, Jie Tian*, Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study, Annals of Oncology, 2020, 31(7): 912-920.

2.  Di Dong#, Lei Tang#, Ziyu Li#, Mengjie Fang#, Jianbo Gao#, Xiuhong Shan#, Xiangji Ying, Yingshi Sun, Jia Fu, Xiaoxiao Wang, Liming Li, Zhenhui Li, Dafu Zhang, Yan Zhang, Zhemin Li, Fei Shan, Zhaode Bu, Jie Tian*, Jiafu Ji*, Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer, Annals of Oncology, 2019, 30(3): 431-438.

3.  Huang YQ#,Liang CH#, He L#,Tian J#, Liang CS, Chen X, Ma ZL, Liu ZY*. Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer. Journal of Clinical Oncology,Vol.34,No.18, pp2157-2164. JUNE 20, 2016

4.  Mingsheng Zhu#, Jie Zhuang#, Zhe Li, Qiqi Liu, Rongping Zhao, Zhanxia Gao, Adam C Midgley, Tianyi Qi, Jingwei Tian, Zhixuan Zhang, Deling Kong, Jie Tian*, Xiyun Yan* and Xinglu Huang*.Machine-learning-assisted single-vessel analysis of nanoparticle permeability in tumour vasculatures. Nature Nanotechnology.2023 Jun;18(6):657-666.

5.  Wenzhen Ding, Yaqing Meng, Jun Ma, Chuan Pang, Jiapeng Wu, Jie Tian, Jie Yu, Ping Liang, Kun Wang, Contrast-enhanced ultrasound-based AI model for multi-classification of focal liver lesions, Journal of Hepatology, 2025, 83(2): 426-439. Published: 01 August 2025. DOI: 10.1016/j.jhep.2025.01.011.

6.  Kun Wang#, Xue Lu#, Hui Zhou#, Yongyan Gao#, Jian Zheng, Minghui Tong, Changjun Wu, Changzhu Liu, Liping Huang, Tian’an Jiang, Fankun Meng, Yongping Lu, Hong Ai, Xiao-Yan Xie, Li-ping Yin, Ping liang*, Jie Tian*, Rongqin Zheng*, Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study, Gut, 2019, 68(4): 729-741. Published: 01 April 2019. DOI: 10.1136/gutjnl-2018-316204.

7.  Wang S, Yu H, Gan Y, Wu Z, Li E, Li X, Cao J, Zhu Y, Wang L, Deng H, Xie M, Wang Y, Ma X, Liu D, Chen B, Tian P, Qiu Z, Xian J, Ren J, Wang K, Wei W, Xie F, Li Z, Wang Q, Xue X, Liu Z, Shi J, Li W, Tian J*.Mining whole-lung information by artificial intelligence for predicting EGFR genotype and targeted therapy response in lung cancer: a multicohort study. Lancet Digital Health.2022 May;4(5):e309-e319.

8.  Lili Feng#, Zhenyu Liu#, Chaofeng Li#, Zhenhui Li#, Xiaoying Lou#, Lizhi Shao#, Yunlong Wang, Yan Huang, Haiyang Chen, Xiaolin Pang, Shuai Liu, Fang He, Jian Zheng, Xiaochun Meng, Peiyi Xie, Guanyu Yang, Yi Ding, Mingbiao Wei, Jingping Yun, Mien-chie Hung, Weihua Zhou, Daniel R. Wahl, Ping Lan*, Jie Tian*, Xiangbo Wan*. Development and Validation of a Radiopathomics Prediction Model for Early Assessment of Pathological Complete Response for Locally Advanced Rectal Cancer: a multicenter, prospective study. Lancet Digital Health.,2022Jan;4(1):e8-e17.

9.  Shuo Wang#, Yunfei Zha#, Weimin Li#, Qingxia Wu#, Xiaohu Li#, Meng Niu#, Meiyun Wang#, Xiaoming Qiu#, Hongjun Li#, He Yu, Wei Gong, Yan Bai, Li Li, Yongbei Zhu, Liusu Wang, Jie Tian*. A Fully Automatic Deep Learning System for COVID-19 Diagnostic and Prognosti Analysis. European Respiratory Journal. 2020; DOI: 10.1183/13993003.00775-2020.

10.  Shuo Wang#, Jingyun Shi#, Zhaoxiang Ye#, Di Dong#, Dongdong Yu#, Mu Zhou#, Ying Liu, Olivier Gevaert, Kun Wang, Yongbei Zhu, Hongyu Zhou, Zhenyu Liu, Jie Tian*. Predicting EGFR mutation status in lung adenocarcinoma on CT image using deep learning. European Respiratory Journal. 2019.DOI: 10.1183/13993003.00986-2018.

11.  Ke Zhang#, Jinyu Ru#, Wenbo Wang#, Qiuping Ma, Fengwei Gao, Jiapeng Wu, Zhifei Dai, Qingyun Xie, Lei Mu, Haoyan Zhang, Jinhua Pan, Liting Xie, Qiyu Zhao, Jie Tian, Jie Yu, Ping Liang, Hong Wu, Kai Li, Wei Yang, Kun Wang*, Tianan Jiang*, Vision transformer-based model can optimize curative-intent treatment for patients with recurrent hepatocellular carcinoma, Nature Communications, 2025, 16(1): 4081. Published: 01 May 2025. DOI: 10.1038/s41467-025-59197-0.

12.  Zhenyu Liu#, Xiaochun Meng#, Hongmei Zhang#, Zhenhui Li#, Jiangang Liu, Kai Sun, Yankai Meng, Weixing Dai, Peiyi Xie, Yingying Ding, Meiyun Wang*, Guoxiang Cai*, Jie Tian*. Predicting Distant Metastasis and Chemotherapy Benefit in Locally Advanced Rectal Cancer. Nature Communications, 2020, volume 11, Article number: 4308 (2020) DOI: 10.1038/s41467-020-18162-9.

13.  Wei Mu, Lei Jiang, JianYuan Zhang, Yu Shi, Jhanelle E. Gray, Ilke Tunali, Chao Gao, Yingying Sun, Jie Tian, Xinming Zhao, Xilin Sun, Robert J. Gillies, and Matthew B. Schabath, Non-invasive decision support for NSCLC treatment using PET/CT radiomics. Nature Communications. 2020. 16;11(1)

14.  Liu, Zhenyu; Li, Zhuolin; Qu, Jinrong; Zhang, Renzhi; Zhou, Xuezhi; Li, Longfei; Sun, Kai; Tang, Zhenchao; Jiang, Hui; Li, Hailiang; Xiong, Qianqian; Ding, Yingying; Zhao, Xinming; Wang, Kun; Liu, Zaiyi; Tian, Jie*.Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Study.Clinical Cancer Research,2019,25(12):3538-3547

15.  Zhenyu Liu,Xiao-Yan Zhang,Yan-Jie Shi,Lin Wang, Hai-Tao Zhu,Zhenchao Tang,Shuo Wang,Xiao-Ting Li, Jie Tian* and Ying-Shi Sun*.Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradio therapy in Locally Advanced Rectal Cancer. Clinical Cancer Research.2017;23(23):7253-7262.

16.  Hao Peng#, Di Dong#, Mengjie Fang#, Lu Li#, Linglong Tang, Lei Chen, Wenfei Li, Yanping Mao, Wei Fan, Lizhi Liu, Li Tian, Aihua Lin, Ying Sun, Jie Tian*, Jun Ma*, Prognostic value of deep learning PET/CT-based radiomics: potential role for future individual induction chemotherapy in advanced nasopharyngeal carcinoma, Clinical Cancer Research, 2019, 25(14): 4271-4279. Published: July 2019. DOI: 10.1158/1078-0432.CCR-18-3065.

17.  Jiangdian Song#, Jingyun Shi#, Di Dong#, Mengjie Fang, Wenzhao Zhong, Kun Wang, Ning Wu, Yanqi Huang, Zhenyu Liu, Yue Cheng, Yuncui Gan, Yongzhao Zhou, Ping Zhou, Bojiang Chen, Changhong Liang, Zaiyi Liu*, Weimin Li*, Jie Tian*, A new approach to predict progression-free survival in stage IV EGFR-mutant NSCLC patients with EGFR-TKI therapy, Clinical Cancer Research, 2018, 24(15): 3583-3592. Published: August 2018. DOI: 10.1158/1078-0432.CCR-17-2507

18.  Bin Zhang#, Jie Tian#, Di Dong#, Dongsheng Gu, Yuhao Dong, Lu Zhang, Zhouyang Lian, Jing Liu, Xiaoning Luo, Shufang Pei, Xiaokai Mo, Wenhui Huang, Fusheng Ouyang, Baoliang Guo, Long Liang, Wenbo Chen, Changhong Liang, Shuixing Zhang*, Radiomics features of multiparametric MRI as novel prognostic factors in advanced nasopharyngeal carcinoma, Clinical Cancer Research, 2017, 23(15): 4259-4269. Published: August 2017. DOI: 10.1158/1078-0432.CCR-16-2910

19.  Yongbei Zhu, Shuo Wang, He Yu, Weimin Li, Jie Tian*.SFPL: Sample-specific fine-grained prototype learning for imbalanced medical image classification. Med Image Anal. 2024 Oct:97:103281. doi:10.1016/j.media.2024.103281.

20.  Di Dong#, Fan Zhang#, Lianzhen Zhong#, Mengjie Fang, Chenglong Huang, Jijin Yao, Ying Sun, Jie Tian*, Jun Ma*, Linglong Tang*, Development and validation of a novel MR imaging predictor of response to induction chemotherapy in locoregionally advanced nasopharyngeal cancer: a randomized controlled trial substudy (NCT01245959), BMC Medicine, 2019, 17(1): 190. Published: October 23, 2019. DOI: 10.1186/s12916-019-1422-6.