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

Noninvasive Detection of Macrophages in Atherosclerotic Lesions Using a Visipaque-Based Nanoparticle Contrast Agent for Computed Tomography.

利用基于Visipaque的纳米颗粒对比剂进行计算机断层扫描,对动脉粥样硬化病变中的巨噬细胞进行无创检测

Liang Shuo, Ren Min, Chen Yanhong, Song Zhenchun, Yang Yapeng, Zhang Hong

"RotaTripsy" as State-of-the-Art Strategy for Coronary Artery Calcification: A Scoping Review

“RotaTripsy”作为冠状动脉钙化治疗的最新策略:一项范围界定综述

Hao, Tianxu; Song, Zhenchun; Li, Jiechun; Suo, Rui; Li, Yan; Lu, Yibei; Li, Ximing; Jin, Dongxia

Construction of a radiomics model based on CT imaging for predicting capsular invasion in thymomas

基于CT影像构建放射组学模型预测胸腺瘤包膜侵犯

Liang, Shuo; Chen, Yanhong; Li, Jianhui; Song, Zhenchun; Zhou, Li; Yin, Rui

Preoperative CT-based radiomics combined with tumour spread through air spaces can accurately predict early recurrence of stage I lung adenocarcinoma: a multicentre retrospective cohort study

术前基于CT的放射组学结合肿瘤经肺腔扩散情况可准确预测I期肺腺癌的早期复发:一项多中心回顾性队列研究

Wang, Yuhang; Ding, Yun; Liu, Xin; Li, Xin; Jia, Xiaoteng; Li, Jiuzhen; Zhang, Han; Song, Zhenchun; Xu, Meilin; Ren, Jie; Sun, Daqiang

Preoperative CT-guided localization of pulmonary nodules with low-dose radiation

术前CT引导下低剂量辐射定位肺结节

Ma, Yanhe; Cheng, Shizhao; Li, Jianhui; Yuan, Wei; Song, Zhenchun; Zhang, Hong

Artificial Intelligence-Aided Diagnosis Software to Identify Highly Suspicious Pulmonary Nodules

人工智能辅助诊断软件用于识别高度可疑的肺结节

Lv, Jun; Li, Jianhui; Liu, Yanzhen; Zhang, Hong; Luo, Xiangfeng; Ren, Min; Gao, Yufan; Ma, Yanhe; Liang, Shuo; Yang, Yapeng; Song, Zhenchun; Gao, Guangming; Gao, Guozheng; Jiang, Yusheng; Li, Ximing

Low kV and Low Concentration Contrast Agent with Iterative Reconstruction of Computed Tomography (CT) Coronary Angiography: A Preliminary Study

低千伏和低浓度造影剂结合迭代重建的计算机断层扫描(CT)冠状动脉造影:一项初步研究

Zhang, Hong; Ma, Yanhe; Lyu, Jun; Yang, Yapeng; Yuan, Wei; Song, Zhenchun