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Clinical Breast Cancer|December 5, 2017
Diagnostic Performance of Mammographic Texture Analysis in the Differential Diagnosis of Benign and Malignant Breast TumorsZhiming Li, Lan Yu, Xin Wang, et al.
Biomed Research International|July 21, 2020
Quantitative Analysis of Enhanced Computed Tomography in Differentiating Cystitis Glandularis and Bladder CancerHui Hua, Yuanxiang Gao, Jizheng Lin, et al.
Luminescence : the Journal of Biological and Chemical Luminescence|September 26, 2025
Non-Stoichiometric Strategy Induced Luminescence Improvement of the Cyan-Emitting Phosphor Ca3Sc2Si3O12:Ce3+ for WLEDLongchun Liu, Weijie Li, Yang Zheng, et al.
NMR in Biomedicine|February 24, 2026
Hypoxia Imaging in Hepatic Fibrosis: A Preliminary Application of CAIX-Targeted MRI Probe in RatsXiaomin Duan, Longyang Xiao, Haichen Zhao, et al.
Frontiers in Oncology|November 17, 2022
Radiomics nomogram for prediction of microvascular invasion in hepatocellular carcinoma based on MR imaging with Gd-EOB-DTPAShuai Zhang, Chongfeng Duan, Xiaoming Zhou, et al.
BMC Cancer|May 20, 2026
Habitat analysis and other AI technologies for Ki-67 prediction in hepatocellular carcinoma: a multi-center studyMin Zhao, Chongfeng Duan, Xiaoming Zhou, et al.
Luminescence : the Journal of Biological and Chemical Luminescence|August 29, 2025
Calcium Vacancy Generated Luminescence Improvement of the Ca3Sc2Si3O12:Ce3+ Phosphor for WLEDYue Guo, Yingkai Fu, Chaohui Zhang, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|August 29, 2019
Radiomics models for diagnosing microvascular invasion in hepatocellular carcinoma: which model is the best model?Ming Ni, Xiaoming Zhou, Qian Lv, et al.
Biomed Research International|January 28, 2021
Radiomics Analysis of MR Imaging with Gd-EOB-DTPA for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: Investigation and Comparison of Different Hepatobiliary Phase Delay TimesShuai Zhang, Guizhi Xu, Chongfeng Duan, et al.
Cancer Research|July 21, 2018
Identification of Metastatic Lymph Nodes in MR Imaging with Faster Region-Based Convolutional Neural NetworksYun Lu, Qiyue Yu, Yuanxiang Gao, et al.
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