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

[Retracted] Effects of miR‑106b‑3p on cell proliferation and epithelial‑mesenchymal transition, and targeting of ZNRF3 in esophageal squamous cell carcinoma

【已撤稿】miR-106b-3p对细胞增殖和上皮-间质转化的影响,以及其在食管鳞状细胞癌中靶向ZNRF3的作用

Qiao, Guanen; Dai, Chenguang; He, Yang; Shi, Junjie; Xu, Chunfang

Impact of surgical approaches on long-term survival outcomes of patients with pancreatic neuroendocrine carcinoma

手术方式对胰腺神经内分泌癌患者长期生存结局的影响

Xia, Tingting; Li, Jinhao; Liu, Zhengqing; Jiao, Xuehua; Qiao, Zhenguo; Xu, Chunfang; Han, Liangfu

DNMT1/MTTP axis promotes gastritis progression during Helicobacter pylori infection by regulating GPX4 and ferroptosis.

DNMT1/MTTP 轴通过调节 GPX4 和铁死亡促进幽门螺杆菌感染期间的胃炎进展

Tang Chunli, Meng Fanlai, Li Renjie, Ma Meimei, Zhu Meiling, Xu Chunfang

Molecular mechanisms of pancreatic cancer liver metastasis: the role of PAK2

胰腺癌肝转移的分子机制:PAK2 的作用

Yang, Hao; Li, Zhongyi; Zhu, Shiqi; Wang, Wenxia; Zhang, Jing; Zhao, Dongxu; Zhang, Man; Zhu, Wenxin; Xu, Wei; Xu, Chunfang

N-acetylglucosaminyltransferase V drives colorectal cancer metastasis by facilitating ZO-1 ubiquitination and degradation

N-乙酰葡萄糖胺转移酶 V 通过促进 ZO-1 泛素化和降解来驱动结直肠癌转移

Yueping Zhan #, Chenjun Huang #, Rong Wang, Xiao Xiao, Xuewen Xu, Chunfang Gao

Plant-Derived Caffeic Acid and Its Derivatives: An Overview of Their NMR Data and Biosynthetic Pathways

植物源咖啡酸及其衍生物:核磁共振数据和生物合成途径概述

Yu, Jiahui; Xie, Jingchen; Sun, Miao; Xiong, Suhui; Xu, Chunfang; Zhang, Zhimin; Li, Minjie; Li, Chun; Lin, Limei

Few-shot learning for the classification of intestinal tuberculosis and Crohn's disease on endoscopic images: A novel learn-to-learn framework

基于少样本学习的内镜图像肠结核和克罗恩病分类:一种新型的学习框架

Lin, Jiaxi; Zhu, Shiqi; Yin, Minyue; Xue, Hongchen; Liu, Lu; Liu, Xiaolin; Liu, Lihe; Xu, Chunfang; Zhu, Jinzhou

Evaluation of super resolution technology for digestive endoscopic images

消化内镜图像超分辨率技术的评估

Lin, Jiaxi; Zhu, Shiqi; Gao, Xin; Liu, Xiaolin; Xu, Chunfang; Xu, Zhonghua; Zhu, Jinzhou

The development and validation of automated machine learning models for predicting lymph node metastasis in Siewert type II T1 adenocarcinoma of the esophagogastric junction

开发和验证用于预测食管胃交界处Siewert II型T1期腺癌淋巴结转移的自动化机器学习模型。

Lu, Chenghao; Liu, Lu; Yin, Minyue; Lin, Jiaxi; Zhu, Shiqi; Gao, Jingwen; Qu, Shuting; Xu, Guoting; Liu, Lihe; Zhu, Jinzhou; Xu, Chunfang

Computer-aided diagnostic system with automated deep learning method based on the AutoGluon framework improved the diagnostic accuracy of early esophageal cancer

基于AutoGluon框架的自动化深度学习计算机辅助诊断系统提高了早期食管癌的诊断准确率。

Gao, Xin; Lin, Jiaxi; Qu, Changju; Wang, Chao; Wu, Airong; Zhu, Jinzhou; Xu, Chunfang