日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

A radiomics nomogram integrated with radiological features for preoperative prediction of lung nodule invasiveness: comparison with Lung-RADS

结合放射学特征的放射组学列线图用于肺结节侵袭性术前预测:与 Lung-RADS 的比较

Miao, Siwei; Han, Zhaojie; Wang, Fei; Liu, Shengwei; Li, Ying; Li, Kun; Wang, Hongqian; Gao, Shuaixiang; Xiong, Xiaolin; Luo, Hao; Huang, Chencui; Qiu, Yang; Wang, Peng; Wang, Haidong

Radiomic model for preoperative prediction of mismatch repair deficiency in gastric cancer: a multicenter study integrating tumor sub-region radiomics and transcriptomics

胃癌错配修复缺陷术前预测的放射组学模型:一项整合肿瘤亚区放射组学和转录组学的多中心研究

Pan, Siwei; Li, Enze; Zheng, Guoliang; You, Yi; Zhang, Yanqiang; Cao, Mengxuan; Zhang, Ruolan; Yang, Qing; Wei, Yizhou; Zhu, Weiwei; Shen, Ke; Huang, Chencui; Xu, Jingxu; Wang, Lijing; Ye, Zaisheng; Xu, Zhiyuan; Hu, Can

MRI-based deep learning with clinical and imaging features to differentiate medulloblastoma and ependymoma in children

结合临床和影像特征的基于磁共振成像的深度学习方法用于区分儿童髓母细胞瘤和室管膜瘤

Yimit, Yasen; Yasin, Parhat; Hao, Yue; Tuersun, Abudouresuli; Huang, Chencui; Zou, Xiaoguang; Qiu, Ya; Wang, Yunling; Nijiati, Mayidili

Preoperative MRI-based radiomics analysis of intra- and peritumoral regions for predicting CD3 expression in early cervical cancer

术前基于MRI的肿瘤内及肿瘤周围区域放射组学分析预测早期宫颈癌中CD3的表达

Zhang, Rui; Jiang, Chunfan; Li, Feng; Li, Lin; Qin, Xiaomin; Yang, Jiang; Lv, Huabing; Ai, Tao; Deng, Lei; Huang, Chencui; Xing, Hui; Wu, Feng

A CT-based interpretable deep learning signature for predicting PD-L1 expression in bladder cancer: a two-center study

基于CT的可解释深度学习特征预测膀胱癌中PD-L1表达:一项双中心研究

Han, Xiaomeng; Guan, Jing; Guo, Li; Jiao, Qiyan; Wang, Kexin; Hou, Feng; Liu, Shunli; Yang, Shifeng; Huang, Chencui; Cong, Wenbin; Wang, Hexiang

Multimodal-Imaging-Based Interpretable Deep Learning Framework for Distinguishing Brucella from Tuberculosis Spondylitis: A Dual-Center Study

基于多模态成像的可解释深度学习框架用于区分布鲁氏菌性脊柱炎和结核性脊柱炎:一项双中心研究

Nijiati, Mayidili; Zhang, Mei; Huang, Chencui; Chou, Xinyue; Shen, Lingyan; Ma, Haiting; Ren, Zhenwei; Maimaiti, Maimaitishawutiaji; You, Yi; Zou, Xiaoguang; Wang, Yunling

Radiomics model building from multiparametric MRI to predict Ki-67 expression in patients with primary central nervous system lymphomas: a multicenter study

利用多参数磁共振成像构建放射组学模型预测原发性中枢神经系统淋巴瘤患者 Ki-67 表达:一项多中心研究

Shen, Yelong; Wu, Siyu; Wu, Yanan; Cui, Chao; Li, Haiou; Yang, Shuang; Liu, Xuejun; Chen, Xingzhi; Huang, Chencui; Wang, Ximing

Development and validation of CT-based fusion model for preoperative prediction of invasion and lymph node metastasis in adenocarcinoma of esophagogastric junction

开发和验证基于CT的融合模型,用于食管胃交界处腺癌术前侵袭和淋巴结转移的预测。

Cao, Mengxuan; Xu, Ruixin; You, Yi; Huang, Chencui; Tong, Yahan; Zhang, Ruolan; Zhang, Yanqiang; Yu, Pengcheng; Wang, Yi; Chen, Wujie; Cheng, Xiangdong; Zhang, Lei

Radiomics and machine learning for osteoporosis detection using abdominal computed tomography: a retrospective multicenter study

利用腹部计算机断层扫描进行骨质疏松症检测的放射组学和机器学习:一项回顾性多中心研究

Liu, Zhai; Li, Yongjun; Zhang, Chenguang; Xu, Hui; Zhao, Junlu; Huang, Chencui; Chen, Xingzhi; Ren, Qingyun

Multimodal imaging-based interpretable radiomics for differentiating brucella and tuberculosis spondylitis: a two-center study

基于多模态影像的可解释放射组学在鉴别布鲁氏菌病和结核性脊柱炎中的应用:一项双中心研究

Yimit, Yasen; Tuersun, Abuduresuli; Zhang, Mei; Huang, Chencui; Shen, Lingyan; Yuan, Ya; You, Yi; Abulizi, Adinaer; Ma, Juan; Nijiati, Mayidili