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

Sex Differences in Incidence and Risk Factors for Delayed Cerebral Ischemia Following Aneurysmal Subarachnoid Hemorrhage: A Propensity Score-Matched Analysis

动脉瘤性蛛网膜下腔出血后迟发性脑缺血发生率及危险因素的性别差异:倾向评分匹配分析

Zhang, Chao; Tang, Wenjuan; Yin, Pengzhan; Yang, Chen; Zhao, Xintong; Fang, Xinggen; Ye, Mingquan; Zhou, Yunfeng

In-depth analysis of the RNA editing landscape in intracranial aneurysms and its potential role in alternative splicing

深入分析颅内动脉瘤中的RNA编辑图谱及其在选择性剪接中的潜在作用

Wang, Yulan; Li, Qingqing; Wang, Peipei; Xu, Tianyi; Zhao, Xintong; Ye, Mingquan

An explainable machine learning model for predicting chronic coronary disease and identifying valuable text features

一种用于预测慢性冠心病并识别有价值文本特征的可解释机器学习模型

Gan, Weipeng; Wang, Peipei; Xie, Xiangrong; Yang, Lingfei; Lu, Dasheng; Ye, Sheng; Ye, Mingquan

Classification of the stages of Alzheimer's disease based on three-dimensional lightweight neural networks

基于三维轻量级神经网络的阿尔茨海默病分期分类

Li, Jun; Liu, Juntong; Su, Yang; Chang, Jie; Ye, Mingquan

Changing trends in the global burden of mental disorders from 1990 to 2019 and predicted levels in 25 years

1990年至2019年全球精神疾病负担的变化趋势及25年后的预测水平

Wu, Yang; Wang, Lu; Tao, Mengjun; Cao, Huiru; Yuan, Hui; Ye, Mingquan; Chen, Xingui; Wang, Kai; Zhu, Chunyan

Study on characteristic of epileptic multi-electroencephalograph base on Hilbert-Huang transform and brain network dynamics

基于希尔伯特-黄变换和脑网络动力学的癫痫多通道脑电图特征研究

Lu, Xiaojie; Wang, Tingting; Ye, Mingquan; Huang, Shoufang; Wang, Maosheng; Zhang, Jiqian

XGBoost-based and tumor-immune characterized gene signature for the prediction of metastatic status in breast cancer.

基于 XGBoost 和肿瘤免疫特征的基因特征用于预测乳腺癌的转移状态

Li Qingqing, Yang Hui, Wang Peipei, Liu Xiaocen, Lv Kun, Ye Mingquan

Generative Adversarial Network Combined with SE-ResNet and Dilated Inception Block for Segmenting Retinal Vessels

生成对抗网络结合SE-ResNet和扩张型Inception模块用于视网膜血管分割

Yue, Chen; Ye, Mingquan; Wang, Peipei; Huang, Daobin; Lu, Xiaojie

Finger Vein Verification on Different Datasets Based on Deep Learning with Triplet Loss

基于深度学习和三元组损失的不同数据集上的指静脉验证

Li, Jun; Yang, Luokun; Ye, Mingquan; Su, Yang; Liu, Juntong

MRF-IUNet: A Multiresolution Fusion Brain Tumor Segmentation Network Based on Improved Inception U-Net

MRF-IUNet:一种基于改进的Inception U-Net的多分辨率融合脑肿瘤分割网络

Jiang, Yongchao; Ye, Mingquan; Wang, Peipei; Huang, Daobin; Lu, Xiaojie