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Enming Cui

Predicting the ISUP grade of clear cell renal cell carcinoma with multiparametric MR and multiphase CT radiomics
2020 · Enming Cui, Zhuoyong Li, et al. · European Radiology · 106
Preoperative prediction of lymphovascular invasion in invasive breast cancer with dynamic contrast‐enhanced‐MRI‐based radiomics
2019 · Zhuangsheng Liu, Bao Feng, et al. · Journal of Magnetic Resonance Imaging · 100
CT-based machine learning model to predict the Fuhrman nuclear grade of clear cell renal cell carcinoma
2019 · Fan Lin, En-Ming Cui, et al. · Abdominal Radiology · 78
Quantitative MR Evaluation of Chronic Pancreatitis: Extracellular Volume Fraction and MR Relaxometry
2018 · Temel Tirkes, Chen Lin, et al. · American Journal of Roentgenology · 71
CT texture analysis in the differentiation of major renal cell carcinoma subtypes and correlation with Fuhrman grade
2019 · Yu Deng, Erik Soule, et al. · European Radiology · 69
Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrence
2024 · Bao Feng, Jiangfeng Shi, et al. · Nature Communications · 64
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Differentiation of renal angiomyolipoma without visible fat from renal cell carcinoma by machine learning based on whole-tumor computed tomography texture features
2019 · En-Ming Cui, Fan Lin, et al. · Acta Radiologica · 59
A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules
2020 · Xiangmeng Chen, Bao Feng, et al. · Cancer Imaging · 54
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CT-based radiomics signature of visceral adipose tissue for prediction of disease progression in patients with Crohn's disease: a multicentre cohort study
2022 · Xuehua Li, Naiwen Zhang, et al. · EClinicalMedicine · 46
A CT-based deep learning model for predicting the nuclear grade of clear cell renal cell carcinoma
2020 · Fan Lin, Changyi Ma, et al. · European Journal of Radiology · 44
Usefulness of CT texture analysis in differentiating benign and malignant renal tumours
2019 · Y. Deng, E. Soule, et al. · Clinical Radiology · 39
Association of pancreatic fat content with type II diabetes mellitus
2019 · C. Nadarajah, G. Fananapazir, et al. · Clinical Radiology · 35
General lightweight framework for vision foundation model supporting multi-task and multi-center medical image analysis
2025 · Senliang Lu, Yehang Chen, et al. · Nature Communications · 31
Detecting Muscle Invasion of Bladder Cancer Using a Proposed Magnetic Resonance Imaging Strategy
2021 · Xiangyu Wang, Ning Tu, et al. · Journal of Magnetic Resonance Imaging · 29
Differentiating IgG4-related sclerosing cholangiopathy from cholangiocarcinoma using CT and MRI: experience from a tertiary referring center
2019 · Jordan Swensson, Temel Tirkes, et al. · Abdominal Radiology · 27
CT and MRI imaging and interpretation of hepatic arterioportal shunts
2019 · Qiushi Wang, Leonidas G. Koniaris, et al. · Translational Gastroenterology and Hepatology · 24
Distinguishing common renal cell carcinomas from benign renal tumors based on machine learning: comparing various CT imaging phases, slices, tumor sizes, and ROI segmentation strategies
2023 · Tao Zhou, Jian Guan, et al. · European Radiology · 23
Distribution and correlation of pancreatic gland size and duct diameters on MRCP in patients without evidence of pancreatic disease
2019 · Qiushi Wang, Jordan Swensson, et al. · Abdominal Radiology · 21
Predicting the stages of liver fibrosis with multiphase CT radiomics based on volumetric features
2021 · Enming Cui, Wansheng Long, et al. · Abdominal Radiology · 19
Can functional parameters from hepatobiliary phase of gadoxetate MRI predict clinical outcomes in patients with cirrhosis?
2018 · Kumar Sandrasegaran, Enming Cui, et al. · European Radiology · 19
Predicting microvascular invasion in hepatocellular carcinoma with a CT- and MRI-based multimodal deep learning model
2024 · Yan Lei, Bao Feng, et al. · Abdominal Radiology · 17
Enhancing preoperative diagnosis of microvascular invasion in hepatocellular carcinoma: domain-adaptation fusion of multi-phase CT images
2024 · Zhaole Yu, Yu Liu, et al. · Frontiers in Oncology · 9
Predicting lymphovascular invasion in clinically node-negative breast cancer detected by abbreviated magnetic resonance imaging: Transfer learning vs. radiomics
2022 · Bao Feng, Zhuangsheng Liu, et al. · Frontiers in Oncology · 9
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Deep learning vs. robust federal learning for distinguishing adrenal metastases from benign lesions with multi-phase CT images
2024 · Bao Feng, Changyi Ma, et al. · Heliyon · 8
Identifying Solitary Granulomatous Nodules from Solid Lung Adenocarcinoma: Exploring Robust Image Features with Cross-Domain Transfer Learning
2023 · Bao Feng, Xiangmeng Chen, et al. · Cancers · 8
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Works count: 66
Citation count: 1,062
H-index: 19
I10-index: 21
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