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

NIR-II fluorescence imaging with ICG improves intraoperative visualization of pelvic autonomic nerves

采用ICG的近红外二区荧光成像技术可改善术中盆腔自主神经的可视化效果

Qu, Qiaojun; Nie, Huilong; Hou, Shuang; Guo, Xiaoyong; Deng, Panxia; Chen, Shangqiu; He, Kunshan; Zhang, Zeyu; Chi, Chongwei; Wang, Feng; Hu, Zhenhua; Tian, Jie

Harmonized technical standard test methods for quality evaluation of medical fluorescence endoscopic imaging systems

医用荧光内窥镜成像系统质量评价的统一技术标准测试方法

Liu, Bodong; Guo, Zhaojun; Yang, Pengfei; Ye, Jian'an; He, Kunshan; Gao, Shen; Chi, Chongwei; An, Yu; Tian, Jie

Novel GAL7-targeted fluorescent molecular imaging probe for high-grade squamous intraepithelial lesion and cervical cancer screening

一种新型的靶向GAL7的荧光分子成像探针,用于高级别鳞状上皮内病变和宫颈癌筛查

Teng, Xiaohui; Tang, Chu; He, Kunshan; Chen, Chunlin; Tian, Jie; Du, Yang

Evaluation of indocyanine green inhalation to detect air leak sites during video-assisted thoracoscopic surgery: a prospective study

评估吲哚菁绿吸入法在视频辅助胸腔镜手术中检测漏气部位的应用:一项前瞻性研究

Wang, Zhenfan; Tian, Xue; Wei, Zihan; Xu, Hao; He, Kunshan; Chi, Chongwei; Zhao, Songjing; Jiang, Ruiheng; Yang, Fan; Li, Yun; Zhou, Jian

Indocyanine green inhalation visualizes lung tumour during video-assisted thoracoscopic surgery

吲哚菁绿吸入可在胸腔镜辅助手术中显示肺部肿瘤

Wang, Zhenfan; Tian, Xue; Yang, Feng; Wang, Lu; Li, Hao; Zhang, Zeyu; He, Kunshan; Chi, Chongwei; Li, Yun; Zhou, Jian

Intraoperative fluorescence molecular imaging accelerates the coming of precision surgery in China

术中荧光分子成像加速了中国精准手术的到来

Zhang, Zeyu; He, Kunshan; Chi, Chongwei; Hu, Zhenhua; Tian, Jie

Intraoperative near-infrared fluorescence imaging can identify pelvic nerves in patients with cervical cancer in real time during radical hysterectomy.

术中近红外荧光成像技术可在根治性子宫切除术中实时识别宫颈癌患者的盆腔神经

He Kunshan, Li Pengfei, Zhang Zeyu, Liu Jiaqi, Liu Pan, Gong Shipeng, Chi Chongwei, Liu Ping, Chen Chunlin, Tian Jie

Improved generative adversarial networks using the total gradient loss for the resolution enhancement of fluorescence images

利用总梯度损失改进生成对抗网络以提高荧光图像的分辨率

Zhang, Chong; Wang, Kun; An, Yu; He, Kunshan; Tong, Tong; Tian, Jie