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

Correction: A meta-learning-based robust federated learning for diagnosing lung adenocarcinoma and tuberculosis granulomas

更正：基于元学习的鲁棒联邦学习方法用于诊断肺腺癌和结核肉芽肿

期刊:Frontiers in Oncology
影响因子:3.3
doi:10.3389/fonc.2026.1806312
Chen, Yuyao; Liu, Lei; Feng, Bao; Chen, Yehang; Xu, Jun; Lin, Huan; Li, Kunwei; Chen, Xiaodong; Ke, Yuting; Zhou, Haoyang; Hu, Qinghui; Jin, Qinggeng; Long, Wansheng; Li, Qiong; Chen, Xiangmeng
炎症/感染
肿瘤
肿瘤免疫
发表日期：2026
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General lightweight framework for vision foundation model supporting multi-task and multi-center medical image analysis

支持多任务和多中心医学图像分析的通用轻量级视觉基础模型框架

期刊:Nature Communications
影响因子:15.7
doi:10.1038/s41467-025-57427-z
Lu, Senliang; Chen, Yehang; Chen, Yuan; Li, Peijun; Sun, Junqi; Zheng, Changye; Zou, Yujian; Liang, Bo; Li, Mingwei; Jin, Qinggeng; Cui, Enming; Long, Wansheng; Feng, Bao
发表日期：2025
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Air pollution, emerging chemical exposures, and systemic lupus erythematosus: a meta-epidemiology study

空气污染、新兴化学物质暴露与系统性红斑狼疮：一项荟萃流行病学研究

期刊:Frontiers in Immunology
影响因子:5.9
doi:10.3389/fimmu.2025.1613441
Xu, Yaling; Pan, Hejing; Chen, Wu; Wang, Yehang; Li, Xuanlin; Dai, Qiaoding; Huang, Lin
红斑狼疮
免疫/内分泌
发表日期：2025
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FedCMC: a federated learning model with contribution fairness based on multi-center core data extraction for assessing the myometrial invasion status of endometrial cancer

FedCMC：一种基于多中心核心数据提取的、具有贡献公平性的联邦学习模型，用于评估子宫内膜癌肌层浸润状态

期刊:Frontiers in Oncology
影响因子:3.3
doi:10.3389/fonc.2025.1648502
Li, Yuping; Feng, Bao; Chen, Yuan; Ruan, Xiaohong; Shi, Jiangfeng; Wang, Ximiao; Wen, Xianyan; Li, Peijun; Sun, Junqi; Zheng, Changye; Zou, Yujian; Li, Mingwei; Long, Wansheng; Chen, Yehang; Xie, Dong
肿瘤
子宫内膜癌
肿瘤免疫
发表日期：2025
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A meta-learning-based robust federated learning for diagnosing lung adenocarcinoma and tuberculosis granulomas

一种基于元学习的鲁棒联邦学习方法用于诊断肺腺癌和结核肉芽肿

期刊:Frontiers in Oncology
影响因子:3.3
doi:10.3389/fonc.2025.1666937
Chen, Yuyao; Liu, Lei; Feng, Bao; Chen, Yehang; Xu, Jun; Lin, Huan; Li, Kunwei; Chen, Xiaodong; Ke, Yuting; Zhou, Haoyang; Hu, Qinghui; Jin, Qinggeng; Long, Wansheng; Li, Qiong; Chen, Xiangmeng
炎症/感染
肿瘤
肿瘤免疫
发表日期：2025
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Risk stratification for early-stage NSCLC progression: a federated learning framework with large-small model synergy

早期非小细胞肺癌进展风险分层：基于大模型-小模型协同作用的联邦学习框架

期刊:Frontiers in Oncology
影响因子:3.3
doi:10.3389/fonc.2025.1719433
Huang, Zijun; Feng, Bao; Chen, Yehang; Huang, Liebin; Chen, Yuan; Duan, Xiaobei; Chen, Xiaojuan; Lin, Huan; Li, Kunwei; Li, Yuping; Li, Qiong; Ruan, Xiaohong; Chen, Xiangmeng; Long, Wansheng
肺癌
细胞生物学
肿瘤
肿瘤免疫
发表日期：2025
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Heterogeneous transfer learning model for improving the classification performance of fNIRS signals in motor imagery among cross-subject stroke patients

用于提高跨受试者中风患者运动想象中fNIRS信号分类性能的异构迁移学习模型

期刊:Frontiers in Human Neuroscience
影响因子:2.7
doi:10.3389/fnhum.2025.1555690
Feng, Jin; Li, YunDe; Huang, ZiJun; Chen, Yehang; Lu, SenLiang; Hu, RongLiang; Hu, QingHui; Chen, YuYao; Wang, XiMiao; Fan, Yong; He, Jing
中风
信号转导
心血管
发表日期：2025
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Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrence

用于识别术后胃癌复发高风险患者的稳健联邦学习模型

期刊:Nature Communications
影响因子:15.7
doi:10.1038/s41467-024-44946-4
Feng, Bao; Shi, Jiangfeng; Huang, Liebin; Yang, Zhiqi; Feng, Shi-Ting; Li, Jianpeng; Chen, Qinxian; Xue, Huimin; Chen, Xiangguang; Wan, Cuixia; Hu, Qinghui; Cui, Enming; Chen, Yehang; Long, Wansheng
胃癌
肿瘤
肿瘤免疫
发表日期：2024
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Multimodal deep learning radiomics model for predicting postoperative progression in solid stage I non-small cell lung cancer

用于预测实体 I 期非小细胞肺癌术后进展的多模态深度学习放射组学模型

期刊:Cancer Imaging
影响因子:3.5
doi:10.1186/s40644-024-00783-8
Kuang, Qionglian; Feng, Bao; Xu, Kuncai; Chen, Yehang; Chen, Xiaojuan; Duan, Xiaobei; Lei, Xiaoyan; Chen, Xiangmeng; Li, Kunwei; Long, Wansheng
肺癌
细胞生物学
肿瘤
肿瘤免疫
发表日期：2024
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Single-channel attention classification algorithm based on robust Kalman filtering and norm-constrained ELM

基于鲁棒卡尔曼滤波和范数约束极限学习机的单通道注意力分类算法

期刊:Frontiers in Human Neuroscience
影响因子:2.7
doi:10.3389/fnhum.2024.1481493
He, Jing; Huang, Zijun; Li, Yunde; Shi, Jiangfeng; Chen, Yehang; Jiang, Chengliang; Feng, Jin
发表日期：2024
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