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Journal Articles
- 2024
[j7]Jia Fu, Mengjie Fang, Zhiyong Lin, Jianxing Qiu, Min Yang, Jie Tian, Di Dong, Yinghua Zou:
CT-based radiomics: predicting early outcomes after percutaneous transluminal renal angioplasty in patients with severe atherosclerotic renal artery stenosis. Vis. Comput. Ind. Biomed. Art 7(1): 1 (2024)- 2023
- [j6]Hailin Li
, Siwen Wang, Bo Liu, Mengjie Fang, Runnan Cao, Bingxi He, Shengyuan Liu, Chaoen Hu, Di Dong, Ximing Wang, Hexiang Wang, Jie Tian:
A multi-view co-training network for semi-supervised medical image-based prognostic prediction. Neural Networks 164: 455-463 (2023) - [j5]Hailin Li, Weiyuan Huang, Siwen Wang, Priya S. Balasubramanian, Gang Wu, Mengjie Fang, Xuebin Xie, Jie Zhang, Di Dong, Jie Tian, Feng Chen:
Comprehensive integrated analysis of MR and DCE-MR radiomics models for prognostic prediction in nasopharyngeal carcinoma. Vis. Comput. Ind. Biomed. Art 6(1): 23 (2023) - 2022
- [j4]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. Comput. Biol. Medicine 144: 105318 (2022) - 2021
- [j3]Xiaoxiao Wang, Cong Li, Mengjie Fang, Liwen Zhang, Lianzhen Zhong, Di Dong, Jie Tian, Xiuhong Shan:
Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer. BMC Medical Imaging 21(1): 58 (2021) - [j2]Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian:
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study. IEEE J. Biomed. Health Informatics 25(3): 755-763 (2021) - 2020
- [j1]Mengjie Fang, Bingxi He, Li Li, Di Dong, Xin Yang, Cong Li, Lingwei Meng, Lianzhen Zhong, Hailin Li, Hongjun Li, Jie Tian:
CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study. Sci. China Inf. Sci. 63(7) (2020)
Conference and Workshop Papers
- 2023
- [c7]Shengyuan Liu, Mengjie Fang, Di Dong, Wenting Shang, Jie Tian:
Multi-task Residual Cross-attention Network for Tumor Segmentation and Lymph Node Metastasis Prediction in Cervical Cancer. ISBI 2023: 1-5 - 2019
- [c6]Mengjie Fang, Di Dong, Ruijia Sun, Li Fan, Yingshi Sun, Shiyuan Liu, Jie Tian:
Using multi-task learning to improve diagnostic performance of convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis 2019: 109501V - [c5]Mengjie Fang, Wenjuan Zhang, Di Dong, Junlin Zhou, Jie Tian:
Predicting histopathological findings of gastric cancer via deep generalized multi-instance learning. Medical Imaging: Image Processing 2019: 109491Q - 2018
- [c4]Zhenchao Tang, Zhenyu Liu, Xiaoyan Zhang, Yanjie Shi, Shou Wang, Mengjie Fang, Yingshi Sun, Enqing Dong, Jie Tian:
Radiomics analysis of DWI data to identify the rectal cancer patients qualified for local excision after neoadjuvant chemoradiotherapy. Medical Imaging: Computer-Aided Diagnosis 2018: 1057514 - 2017
- [c3]Jiangdian Song, Yali Zang, Weimin Li, Wenzhao Zhong, Jingyun Shi, Di Dong, Mengjie Fang, Zaiyi Liu, Jie Tian:
Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancer. Medical Imaging: Computer-Aided Diagnosis 2017: 101343R - [c2]Dongdong Yu, Yali Zang, Di Dong, Mu Zhou, Olivier Gevaert, Mengjie Fang, Jingyun Shi, Jie Tian:
Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes. Medical Imaging: Computer-Aided Diagnosis 2017: 1013426 - 2016
- [c1]Mengjie Fang, Yongkang Luo, Mingyue Ding:
Learning evaluation of ultrasound image segmentation using combined measures. Medical Imaging: Computer-Aided Diagnosis 2016: 97853R
Informal and Other Publications
- 2022
- [i1]Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian:
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study. CoRR abs/2210.16640 (2022)
Coauthor Index
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