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

Multiregional MRI-based deep learning radiomics to predict axillary response after neoadjuvant chemotherapy in breast cancer patients

基于多区域MRI的深度学习放射组学预测乳腺癌患者新辅助化疗后腋窝淋巴结反应

Chen, Weiyue; Lin, Guihan; Zhou, Yi; Chen, Yongjun; Shi, Changsheng; Zhao, Ting; Yan, Zhihan; Peng, Zhiyi; Xia, Shuiwei; Xu, Min; Chen, Minjiang; Lu, Chenying; Ji, Jiansong

Advances and applications in medical coating materials: a comprehensive review

医用涂层材料的研究进展与应用:综述

Yang, Xinmeng; Yu, Xiaoling; Qiu, Shuiwei

Establishing T1 and ECV mapping based nomogram differentiate acute ischemic and nonischemic myocardial injury: a proof-of-concept study

建立基于T1和ECV映射的列线图以区分急性缺血性和非缺血性心肌损伤:一项概念验证研究

Su, Yanping; Pan, Cunxue; Hu, Hongfei; Shen, Di; Ye, Ruolei; Zhou, Chenhui; Chen, Mingzhen; Chen, Minjiang; Chen, Jian; Liu, Kan; Shen, Jiayi; Xia, Shuiwei; Xu, Min; Lv, Lingchun; Lu, Chenying; Ji, Jiansong

Prediction of stroke events in patients with type 2 diabetes mellitus by interpretable machine learning based on perivascular adipose tissue features: a multicenter cohort study

基于血管周围脂肪组织特征的可解释机器学习方法预测2型糖尿病患者卒中事件:一项多中心队列研究

Zhao, Ting; Lin, Guihan; Chen, Weiyue; Jiang, Chengli; Hu, Weiming; Xu, Lei; Chen, Yongjun; Jing, Yang; Sun, Jinhong; Yan, Zhihan; Xia, Shuiwei; Lu, Chenying; Chen, Minjiang; Ji, Jiansong; Chen, Weiqian

A multimodal MRI-based machine learning framework for classifying cognitive impairment in cerebral small vessel disease

一种基于多模态磁共振成像的机器学习框架,用于对脑小血管疾病中的认知障碍进行分类

Lin, Guihan; Chen, Weiyue; Geng, Yongkang; Peng, Bo; Liu, Surui; Chen, Minjiang; Pang, Chunying; Chen, Pengjun; Lu, Chenying; Yan, Zhihan; Xia, Shuiwei; Dai, Yakang; Ji, Jiansong

Preoperative prediction of the HER2 status and prognosis of patients with endometrial cancer using multiparametric MRI-based radiomics: a multicenter study

利用多参数磁共振成像放射组学对子宫内膜癌患者进行术前HER2状态预测及预后评估:一项多中心研究

Lin, Guihan; Chen, Weiyue; Chen, Yongjun; Shi, Changsheng; Cao, Jingjing; Mao, Weibo; Zhao, Chuchu; Zhou, Hongyou; Hu, Yumin; Xia, Shuiwei; Yang, Weibin; Xu, Min; Chen, Minjiang; Ji, Jiansong; Lu, Chenying

Applications of Fibronectin in Biomedicine and Cosmetics: A Review

纤连蛋白在生物医学和化妆品中的应用:综述

Wang, Yuan; Zhang, Qirong; Zhou, Xiandong; Yang, Dingshan; Xiao, Lin; Xie, Wenlan; Zheng, Huaping; Ye, Shuiwei; Deng, Chaoqing; Cheng, Yong; Shu, Peng; Xiang, Qi

Intratumoral and peritumoral CT radiomics in predicting anaplastic lymphoma kinase mutations and survival in patients with lung adenocarcinoma: a multicenter study

肿瘤内和肿瘤周围CT放射组学在预测肺腺癌患者间变性淋巴瘤激酶突变和生存率中的应用:一项多中心研究

Chen, Weiyue; Lin, Guihan; Feng, Ye; Chen, Yongjun; Li, Yanjun; Li, Jianbin; Mao, Weibo; Jing, Yang; Kong, Chunli; Hu, Yumin; Chen, Minjiang; Xia, Shuiwei; Lu, Chenying; Tu, Jianfei; Ji, Jiansong

MRI-based deep learning model for early TACE response prediction in HCC: multicenter validation with biological insights

基于磁共振成像的深度学习模型用于预测肝细胞癌早期经导管动脉化疗栓塞术(TACE)疗效:多中心验证及生物学见解

Chen, Mingzhen; Zhao, Zhongwei; Zhou, Lingling; Kong, Chunli; Guo, Xinyu; Chen, Weiyue; Lin, Guihan; Li, Xia; Zheng, Liyun; Xia, Shuiwei; Lu, Chenying; Fan, Xiaoxi; Chen, Minjiang; Peng, Zhiyi; Ji, Jiansong

Predicting symptomatic carotid artery plaques with radiomics-based carotid perivascular adipose tissue characteristics: a multicenter, multiclassifier study

利用基于放射组学的颈动脉血管周围脂肪组织特征预测有症状的颈动脉斑块:一项多中心、多分类器研究

Zhao, Ting; Lin, Guihan; Chen, Weiyue; Wu, Jianhua; Hu, Weiming; Xu, Lei; Chen, Yongjun; Jing, Yang; Shen, Lin; Xia, Shuiwei; Lu, Chenying; Chen, Minjiang; Ji, Jiansong; Chen, Weiqian