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

[Retracted] Endothelial cell‑derived exosomes protect SH‑SY5Y nerve cells against ischemia/reperfusion injury

【已撤稿】内皮细胞来源的外泌体保护SH-SY5Y神经细胞免受缺血/再灌注损伤

Xiao, Bing; Chai, Yi; Lv, Shigang; Ye, Minhua; Wu, Miaojing; Xie, Liyuan; Fan, Yanghua; Zhu, Xingen; Gao, Ziyun

Radiogenomic method combining DNA methylation profiles and magnetic resonance imaging radiomics predicts patient prognosis in skull base chordoma.

结合DNA甲基化谱和磁共振成像放射组学的放射基因组学方法可预测颅底脊索瘤患者的预后

Deng Xiaoyu, Li Peiran, Tian Kaibing, Zhang Fan, Yan Yumeng, Fan Yanghua, Wu Zhen, Zhang Junting, Du Jiang, Chen Wei, Wang Liang

Identification of intracranial solitary fibrous tumor and atypical meningioma by multi-parameter MRI-based radiomics model

基于多参数MRI放射组学模型的颅内孤立性纤维瘤和非典型脑膜瘤的识别

Fan, Yanghua; Liu, Panpan; Zhang, Junting; Wang, Liang; Wu, Zhen

The novel developed and validated multiparametric MRI-based fusion radiomic and clinicoradiomic models predict the postoperative progression of primary skull base chordoma

新型的基于多参数磁共振成像的融合放射组学和临床放射组学模型,能够预测原发性颅底脊索瘤术后的进展情况,并已得到验证。

Li, Zekai; Fan, Yanghua; Ma, Junpeng; Wang, Ke; Li, Da; Zhang, Junting; Wu, Zhen; Wang, Liang; Tian, Kaibing

Deep-learning-based automatic segmentation and classification for craniopharyngiomas

基于深度学习的颅咽管瘤自动分割与分类

Yan, Xiaorong; Lin, Bingquan; Fu, Jun; Li, Shuo; Wang, He; Fan, Wenjian; Fan, Yanghua; Feng, Ming; Wang, Renzhi; Fan, Jun; Qi, Songtao; Jiang, Changzhen

Predicting delayed remission in Cushing's disease using radiomics models: a multi-center study

利用放射组学模型预测库欣病延迟缓解:一项多中心研究

Zhang, Wentai; Zhang, Dewei; Liu, Shaocheng; Wang, He; Liu, Xiaohai; Dai, Congxin; Fang, Yi; Fan, Yanghua; Wei, Zhenqing; Feng, Ming; Wang, Renzhi

Machine Learning in Preoperative Prediction of Postoperative Immediate Remission of Histology-Positive Cushing's Disease

机器学习在术前预测组织学阳性库欣病术后即刻缓解中的应用

Zhang, Wentai; Sun, Mengke; Fan, Yanghua; Wang, He; Feng, Ming; Zhou, Shaohua; Wang, Renzhi

Clinicopathological and Prognostic Value of Gastric Carcinoma Highly Expressed Transcript 1 in Cancer: A Meta-Analysis

胃癌高表达转录本1在癌症中的临床病理及预后价值:一项荟萃分析

Zhou, Xi; Fan, Yanghua; He, Yu; Mou, Anna; Wang, Fu; Liu, Yong; Wu, Zhen

Machine Learning-Based Radiomics Predicts Radiotherapeutic Response in Patients With Acromegaly

基于机器学习的放射组学预测肢端肥大症患者的放射治疗反应

Fan, Yanghua; Jiang, Shenzhong; Hua, Min; Feng, Shanshan; Feng, Ming; Wang, Renzhi

Meta-analysis of the prognostic value of lncRNA DANCR for cancer patients in China

中国癌症患者lncRNA DANCR预后价值的荟萃分析

Fan, Yanghua; He, Yu; Zhou, Xi; Liu, Yong; Wang, Fu