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

FAP-targeting peptide-directed nanoprobes enable tumor microenvironment-activatable MR/NIRF imaging of breast cancer primary tumor and lung metastases

靶向FAP肽的纳米探针可实现肿瘤微环境激活的MR/NIRF成像,用于乳腺癌原发肿瘤和肺转移瘤的成像

Wang, Chunting; Hu, Jingjing; Huang, Yuelin; Chen, Yanhong; Zhan, Ling; Liu, Huanhuan; Yao, Defan; Wang, Dengbin

Evaluation of 5T Magnetic Resonance Imaging on Oral Cavity: An Observational Cross-Sectional Study Compared With 3T Magnetic Resonance Imaging and Cone Beam Computed Tomography

5T磁共振成像在口腔成像中的应用评价:一项与3T磁共振成像和锥形束计算机断层扫描进行比较的观察性横断面研究

Cao, Yiting; Qi, Zhengnan; Wang, Yiwei; Wang, Tingting; Qin, Zhiwei; Zhang, Peirong; Tian, Yang; Wang, Dengbin; Tang, Zisheng

Evaluation of 5T high-field MRI for identification of mandibular third molar and inferior alveolar nerve structures: a study compared with 3T MRI and CBCT

评估5T高场磁共振成像在识别下颌第三磨牙和下牙槽神经结构方面的应用:一项与3T磁共振成像和锥形束CT的比较研究

Cao, Yiting; Qi, Zhengnan; Wang, Yiwei; Song, Qingbo; Zhang, Peirong; Qin, Zhiwei; Sun, Shuntao; Wang, Dengbin; Tang, Zisheng

Nanomedicine-induced pyroptosis for anti-tumor immunotherapy: Mechanism analysis and application prospects

纳米药物诱导细胞焦亡用于抗肿瘤免疫治疗:机制分析及应用前景

Huang, Yuelin; Wang, Chunting; Chen, Yanhong; Wang, Dengbin; Yao, Defan

Renal-clearable and tumor-retained nanodots overcoming metabolic reprogramming to boost mitochondrial-targeted photodynamic therapy in triple-negative breast cancer

肾脏可清除且肿瘤内滞留的纳米点克服代谢重编程,增强线粒体靶向光动力疗法在三阴性乳腺癌中的疗效

Yao, Defan; Wang, Yanshu; Dong, Xue; Chen, Yanhong; Ji, Ding-Kun; Zou, Rongfeng; Huang, Yuelin; Huang, Weixi; Wang, Dengbin

Human serum albumin-based KBiF(4)@HSA nanoclusters for dual-energy computed tomography and glutathione-scavenging radiotherapy of breast cancer.

基于人血清白蛋白的 KBiF(4)@HSA 纳米簇用于乳腺癌的双能计算机断层扫描和谷胱甘肽清除放射治疗

Huang Yuelin, Lu Zhenghai, Liu Huanhuan, Yang Ningxin, Chen Yanhong, Wang Chunting, Huang Weixi, Hu Jingjing, Wang Dengbin, Yao Defan

Predicting pediatric age from chest X-rays using deep learning: a novel approach

利用深度学习从胸部X光片预测儿童年龄:一种新方法

Li, Maolin; Zhao, Jiang; Liu, Huanhuan; Jin, Biao; Cui, Xuee; Wang, Dengbin

Multiparametric MRI deep learning model based on dynamic Contrast-enhanced and apparent diffusion coefficient map enables accurate prediction of benign and malignant breast lesions

基于动态对比增强和表观扩散系数图的多参数磁共振成像深度学习模型能够准确预测乳腺良恶性病变。

Luo, Chen; Chen, Yanhong; Yan, Lijun; Wang, Churan; Wang, Lijun; Luo, Ran; Zhang, Zhengwei; Wang, Ruobing; Zhang, Fandong; Zhang, Zhongyang; Yin, Qiufeng; Zhang, Yuzhen; Liu, Huanhuan; Wang, Dengbin

Comparison of reduced FOV diffusion-weighted imaging of rectal cancer at 5.0T ultra-high field versus 3.0T MRI: image quality and histopathological T staging

5.0T超高场磁共振成像与3.0T磁共振成像在直肠癌缩小视野扩散加权成像方面的比较:图像质量和组织病理学T分期

Dong, Xue; Shi, Dongmei; Qin, Zhiwei; Yong, Huifang; Yin, Qiufeng; Zhang, Peirong; Zhang, Zhongyang; Zhang, Xing; Duan, Shaofeng; Wang, Dengbin; Liu, Huanhuan

Deep Learning-Based Pediatric Brain Region Segmentation and Volumetric Analysis for General Growth Pattern in Healthy Children

基于深度学习的儿童脑区分割和体积分析在健康儿童总体生长模式中的应用

Zheng, Hui; Wang, Xinyun; Liu, Ming; Yin, Qiufeng; Zhang, Zhengwei; Wei, Ying; Shi, Feng; Wang, Dengbin; Zhang, Yuzhen