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

Nicotinamide Adenine Dinucleotide-Loaded Lubricated Hydrogel Microspheres with a Three-Pronged Approach Alleviate Age-Related Osteoarthritis.

采用三管齐下方法的烟酰胺腺嘌呤二核苷酸负载润滑水凝胶微球可缓解与年龄相关的骨关节炎

Lin Yanpeng, Wu Hangtian, Wang Jun, He Wanling, Hou Jiahui, Martin Vidmi Taolam, Zhu Chencheng, Chen Yupeng, Zhong Junyuan, Yu Bin, Lu Aiping, Guan Daogang, Qin Genggeng, Chen Weiguo

Contrast-enhanced mammography-based interpretable machine learning model for the prediction of the molecular subtype breast cancers

基于对比增强乳腺X线摄影的可解释机器学习模型,用于预测乳腺癌的分子亚型

Ma, Mengwei; Xu, Weimin; Yang, Jun; Zheng, Bowen; Wen, Chanjuan; Wang, Sina; Xu, Zeyuan; Qin, Genggeng; Chen, Weiguo

Improvement in matching lesions in dual-view mammograms using a geometric model

利用几何模型改进双视图乳腺X线照片中病灶的匹配

Wang, Sina; Xu, Zeyuan; Zheng, Bowen; Zeng, Hui; Pan, Derun; Ma, Mengwei; Chen, Weiguo; Qin, Genggeng

Clinical, radiological, and radiomics feature-based explainable machine learning models for prediction of neurological deterioration and 90-day outcomes in mild intracerebral hemorrhage

基于临床、放射学和放射组学特征的可解释机器学习模型,用于预测轻度脑出血患者的神经功能恶化和90天预后

Zeng, Weixiong; Chen, Jiaying; Shen, Linling; Xia, Genghong; Xie, Jiahui; Zheng, Shuqiong; He, Zilong; Deng, Limei; Guo, Yaya; Yang, Jingjing; Lv, Yijun; Qin, Genggeng; Chen, Weiguo; Yin, Jia; Wu, Qiheng

Enhancing Specificity in Predicting Axillary Lymph Node Metastasis in Breast Cancer through an Interpretable Machine Learning Model with CEM and Ultrasound Integration

通过结合CEM和超声技术的可解释机器学习模型提高乳腺癌腋窝淋巴结转移预测的特异性

Xu, Weimin; Zheng, Bowen; Wen, Chanjuan; Zeng, Hui; Wang, Sina; He, Zilong; Liao, Xin; Chen, Weiguo; Li, Yingjia; Qin, Genggeng

Using time-series chest radiographs and laboratory data by machine learning for identifying pulmonary infection and colonization of Acinetobacter baumannii

利用机器学习技术,结合时间序列胸部X光片和实验室数据,识别鲍曼不动杆菌的肺部感染和定植

Zeng, Zhaodong; Wu, Jiefang; Qin, Genggeng; Yu, Dong; He, Zilong; Zeng, Weixiong; Zhou, Hao; Lin, Jiongbin; Liu, Laiyu; Qi, Chunxia; Chen, Weiguo

Predictive Models for Suicide Attempts in Major Depressive Disorder and the Contribution of EPHX2: A Pilot Integrative Machine Learning Study

重度抑郁症患者自杀未遂预测模型及EPHX2的作用:一项初步的综合机器学习研究

Zheng, Shuqiong; Zeng, Weixiong; Wu, Qianyun; Li, Weimin; He, Zilong; Li, Enze; Tang, Chong; Xue, Xiang; Qin, Genggeng; Zhang, Bin; Yin, Honglei

Differentiation Between Phyllodes Tumor and Fibroadenoma of the Breast: A Radiomics Prediction Model Based on Full-Field Digital Mammography & Digital Tomosynthesis

乳腺叶状肿瘤与纤维腺瘤的鉴别诊断:基于全视野数字乳腺X线摄影和数字断层合成的放射组学预测模型

Zeng, Fengxia; Zeng, Hui; Yang, Jun; Huang, Danping; Liu, Jialing; Wen, Chanjuan; Qin, Genggeng; Liao, Shengwu; Chen, Weiguo; Xu, Weimin; Wang, Sina

Predicting futile recanalization, malignant cerebral edema, and cerebral herniation using intelligible ensemble machine learning following mechanical thrombectomy for acute ischemic stroke

利用可理解集成机器学习方法预测急性缺血性卒中机械取栓术后无效再通、恶性脑水肿和脑疝的发生

Zeng, Weixiong; Li, Wei; Huang, Kaibin; Lin, Zhenzhou; Dai, Hui; He, Zilong; Liu, Renyi; Zeng, Zhaodong; Qin, Genggeng; Chen, Weiguo; Wu, Yongming

A System Pharmacology Model for Decoding the Synergistic Mechanisms of Compound Kushen Injection in Treating Breast Cancer

系统药理学模型解析苦参注射液治疗乳腺癌的协同机制

Li, Yi; Wang, Kexin; Chen, Yupeng; Cai, Jieqi; Qin, Xuemei; Lu, Aiping; Guan, Daogang; Qin, Genggeng; Chen, Weiguo