En-Ming Cui (Enming Cui)

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Magnetic Resonance

Renal Cell Carcinoma

Computed Tomography

Top Venues

Abdominal radiology (New York)

Nature communications

Journal of magnetic resonance imaging : JMRI

This page only lists publications with an associated author ORCID identifier.

Publications

Yan Lei, Bao Feng, Meiqi Wan, Kuncai Xu, Jin Cui, Changyi Ma, Junqi Sun, Changyin Yao, Shiman Gan, Jiangfeng Shi, En-Ming Cui
Predicting microvascular invasion in hepatocellular carcinoma with a CT- and MRI-based multimodal deep learning model. Abdominal radiology (New York) 49 (5) (2024)
Yan Lei, Bao Feng, Meiqi Wan, Kuncai Xu, Jin Cui, Changyi Ma, Junqi Sun, Changyin Yao, Shiman Gan, Jiangfeng Shi, En-Ming Cui
Predicting microvascular invasion in hepatocellular carcinoma with a CT- and MRI-based multimodal deep learning model. Abdominal radiology (New York) (2024)
Yan Lei, Bao Feng, Meiqi Wan, Kuncai Xu, Jin Cui, Changyi Ma, Junqi Sun, Changyin Yao, Shiman Gan, Jiangfeng Shi, En-Ming Cui
Predicting microvascular invasion in hepatocellular carcinoma with a CT- and MRI-based multimodal deep learning model. Abdominal radiology (New York) 49 (5) (2024)
Bao Feng, Jiangfeng Shi, Liebin Huang, Zhiqi Yang, Shi-Ting Feng, Jianpeng Li, Qinxian Chen, Huimin Xue, Xiangguang Chen, Cuixia Wan, Qinghui Hu, En-Ming Cui, Yehang Chen, Wansheng Long
Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrence. Nature communications 15 (1) (2024)
Bao Feng, Jiangfeng Shi, Liebin Huang, Zhiqi Yang, Shi-Ting Feng, Jianpeng Li, Qinxian Chen, Huimin Xue, Xiangguang Chen, Cuixia Wan, Qinghui Hu, En-Ming Cui, Yehang Chen, Wansheng Long
Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrence. Nature communications 15 (1) (2024)
Yan Lei, Bao Feng, Meiqi Wan, Kuncai Xu, Jin Cui, Changyi Ma, Junqi Sun, Changyin Yao, Shiman Gan, Jiangfeng Shi, En-Ming Cui
Predicting microvascular invasion in hepatocellular carcinoma with a CT- and MRI-based multimodal deep learning model. Abdominal radiology (New York) 49 (5) (2024)
Bao Feng, Jiangfeng Shi, Liebin Huang, Zhiqi Yang, Shi-Ting Feng, Jianpeng Li, Qinxian Chen, Huimin Xue, Xiangguang Chen, Cuixia Wan, Qinghui Hu, En-Ming Cui, Yehang Chen, Wansheng Long
Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrence. Nature communications 15 (1) (2024)
Bao Feng, Xiangmeng Chen, Yehang Chen, Tianyou Yu, Xiaobei Duan, Kunfeng Liu, Kunwei Li, Zaiyi Liu, Huan Lin, Sheng Li, Xiaodong Chen, Yuting Ke, Zhi Li, En-Ming Cui, Wansheng Long, Xueguo Liu
Identifying Solitary Granulomatous Nodules from Solid Lung Adenocarcinoma: Exploring Robust Image Features with Cross-Domain Transfer Learning. Cancers 15 (3) (2023)
En-Ming Cui
Reducing radiation dose in routine CT scans: an AI-driven approach with deep learning-based dual-energy CT reconstruction. European radiology (2023)
Bao Feng, Xiangmeng Chen, Yehang Chen, Tianyou Yu, Xiaobei Duan, Kunfeng Liu, Kunwei Li, Zaiyi Liu, Huan Lin, Sheng Li, Xiaodong Chen, Yuting Ke, Zhi Li, En-Ming Cui, Wansheng Long, Xueguo Liu
Identifying Solitary Granulomatous Nodules from Solid Lung Adenocarcinoma: Exploring Robust Image Features with Cross-Domain Transfer Learning. Cancers 15 (3) (2023)
En-Ming Cui, Qing Li, Juanhua Wu, Yingjie Mei, Juan Yu, Wansheng Long, Zhuoyong Li, Yong Lan, Fan Lin
Combination of hepatocyte fraction and diffusion-weighted imaging as a predictor in quantitative hepatic fibrosis evaluation. Abdominal radiology (New York) 45 (11) (2021)
Xiangyu Wang, Ning Tu, Feng Sun, Zhi Wen, Xinxin Lan, Yi Lei, En-Ming Cui, Fan Lin
Detecting Muscle Invasion of Bladder Cancer Using a Proposed Magnetic Resonance Imaging Strategy. Journal of magnetic resonance imaging : JMRI 54 (4) (2021)
En-Ming Cui, Fan Lin, Qing Li, Rong-Gang Li, Xiang-Meng Chen, Zhuang-Sheng Liu, Wan-Sheng Long
Differentiation of renal angiomyolipoma without visible fat from renal cell carcinoma by machine learning based on whole-tumor computed tomography texture features. Acta radiologica (Stockholm, Sweden : 1987) 60 (11) (2019)