Mengjie Fang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Tumor Segmentation

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Vis. Comput. Ind. Biomed. Art

Publications

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) (2024)
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 (2023)
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) (2023)
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)
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 (2022)
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 (2022)
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) (2021)
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) (2021)
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)
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)
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)
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)
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)
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)
Mengjie Fang, Yongkang Luo, Mingyue Ding
Learning evaluation of ultrasound image segmentation using combined measures. Medical Imaging: Computer-Aided Diagnosis (2016)