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Enming Cui

Showing results (21-30 of 39) with videos related to

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European Radiology|May 26, 2019
CT texture analysis in the differentiation of major renal cell carcinoma subtypes and correlation with Fuhrman gradeYu Deng, Erik Soule, Aster Samuel, et al.
BMC Medical Imaging|December 30, 2025
Machine learning-based radiomics from multiparametric MRI for predicting aggressive pathology in clear cell renal cell carcinomaJie Zhan, Lei Sun, Enming Cui, et al.
Heliyon|February 19, 2024
Deep learning vs. robust federal learning for distinguishing adrenal metastases from benign lesions with multi-phase CT imagesBao Feng, Changyi Ma, Yu Liu, et al.
Science Progress|May 18, 2021
A novel index for staging hepatitis B related liver cirrhosis in patients with hepatocellular carcinomaJuanhua Wu, Yunyang Chen, Chaohai Zuo, et al.
Abdominal Radiology (New York)|March 3, 2024
Predicting microvascular invasion in hepatocellular carcinoma with a CT- and MRI-based multimodal deep learning modelYan Lei, Bao Feng, Meiqi Wan, et al.
European Radiology|February 1, 2020
Predicting the ISUP grade of clear cell renal cell carcinoma with multiparametric MR and multiphase CT radiomicsEnming Cui, Zhuoyong Li, Changyi Ma, et al.
European Radiology|January 16, 2023
Distinguishing common renal cell carcinomas from benign renal tumors based on machine learning: comparing various CT imaging phases, slices, tumor sizes, and ROI segmentation strategiesTao Zhou, Jian Guan, Bao Feng, et al.
European Journal of Radiology|April 30, 2025
Predicting early recurrence in hepatocellular carcinoma after hepatectomy using GD-EOB-DTPA enhanced MRI-based modelHanqiu Zeng, Zichang Ma, Yuxi Tao, et al.
Scientific Reports|November 21, 2025
Multimodal deep learning framework integrating multiphase CT and histopathological whole slide imaging for predicting recurrence in ccRCCChangyi Ma, Bao Feng, Yan Lei, et al.
Medical Image Analysis|May 7, 2026
Unsupervised single-domain generalization for tissue classification via progressive domain transformationJiatai Lin, Qian Li, Yanfen Cui, et al.
Pageof 4

Showing results (21-30 of 39) with videos related to

Sort By:
Pageof 4
European Radiology|May 26, 2019
CT texture analysis in the differentiation of major renal cell carcinoma subtypes and correlation with Fuhrman gradeYu Deng, Erik Soule, Aster Samuel, et al.
BMC Medical Imaging|December 30, 2025
Machine learning-based radiomics from multiparametric MRI for predicting aggressive pathology in clear cell renal cell carcinomaJie Zhan, Lei Sun, Enming Cui, et al.
Heliyon|February 19, 2024
Deep learning vs. robust federal learning for distinguishing adrenal metastases from benign lesions with multi-phase CT imagesBao Feng, Changyi Ma, Yu Liu, et al.
Science Progress|May 18, 2021
A novel index for staging hepatitis B related liver cirrhosis in patients with hepatocellular carcinomaJuanhua Wu, Yunyang Chen, Chaohai Zuo, et al.
Abdominal Radiology (New York)|March 3, 2024
Predicting microvascular invasion in hepatocellular carcinoma with a CT- and MRI-based multimodal deep learning modelYan Lei, Bao Feng, Meiqi Wan, et al.
European Radiology|February 1, 2020
Predicting the ISUP grade of clear cell renal cell carcinoma with multiparametric MR and multiphase CT radiomicsEnming Cui, Zhuoyong Li, Changyi Ma, et al.
European Radiology|January 16, 2023
Distinguishing common renal cell carcinomas from benign renal tumors based on machine learning: comparing various CT imaging phases, slices, tumor sizes, and ROI segmentation strategiesTao Zhou, Jian Guan, Bao Feng, et al.
European Journal of Radiology|April 30, 2025
Predicting early recurrence in hepatocellular carcinoma after hepatectomy using GD-EOB-DTPA enhanced MRI-based modelHanqiu Zeng, Zichang Ma, Yuxi Tao, et al.
Scientific Reports|November 21, 2025
Multimodal deep learning framework integrating multiphase CT and histopathological whole slide imaging for predicting recurrence in ccRCCChangyi Ma, Bao Feng, Yan Lei, et al.
Medical Image Analysis|May 7, 2026
Unsupervised single-domain generalization for tissue classification via progressive domain transformationJiatai Lin, Qian Li, Yanfen Cui, et al.
Pageof 4