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

Artificial Intelligence for Computer-Aided Detection in Biomedical Applications

人工智能在生物医学应用中的计算机辅助检测

Yin, Shukun; Yao, Dickson R; Kim, Inho; Zhou, Wenjie; Heng, Wenzheng; Li, Wenjian; Tang, Songsong; Ma, Xiaotian; Xu, Yadong; Kim, Gwangmook; Han, Hong; Fan, Kexin; Daraio, Chiara; Gao, Wei; Chen, Rui; Zhang, Sihang; Li, Hongji; Wu, Long; Chan, Lawrence Wing Chi

Artificial Intelligence for Computer-Aided Detection in Biomedical Applications

人工智能在生物医学应用中的计算机辅助检测

Gu, Qinghao; Wang, Runbang; Zhang, Lixia; Pan, Di; Bian, Chaorong; Jia, Erteng; Chang, Junda; Zhang, Hao; Chan, Lawrence Wing Chi

Clinical efficacy of immunotherapy in combination of locoregional therapies for advanced hepatocellular carcinoma: a systematic review and meta-analysis

免疫疗法联合局部区域疗法治疗晚期肝细胞癌的临床疗效:系统评价和荟萃分析

Chen, Xinyue; Huang, Mohan; Liu, Ranran; Chan, Lawrence Wing Chi

Functional Role of NOXA in Hypoxia-Mediated PD-L1 Inhibitor Response in Hepatocellular Carcinoma.

NOXA 在缺氧介导的肝细胞癌 PD-L1 抑制剂反应中的功能作用

Huang Mohan, Lan Tian, Chen Xinyue, Chen Rong, Ding Xin, Tai William Chi-Shing, Wong Sze Chuen-Cesar, Chan Lawrence Wing-Chi

Kolmogorov-Arnold Network Model Integrated with Hypoxia Risk for Predicting PD-L1 Inhibitor Responses in Hepatocellular Carcinoma

结合缺氧风险的Kolmogorov-Arnold网络模型预测肝细胞癌对PD-L1抑制剂的反应

Huang, Mohan; Chen, Xinyue; Jiang, Yi; Chan, Lawrence Wing Chi

Identification and Patient Benefit Evaluation of Machine Learning Models for Predicting 90-Day Mortality After Endovascular Thrombectomy Based on Routinely Ready Clinical Information

基于常规临床信息,识别并评估机器学习模型在预测血管内血栓切除术后90天死亡率方面的患者获益

Ng, Andrew Tik Ho; Chan, Lawrence Wing Chi

Exploring Sarcopenic Obesity in the Cancer Setting: Insights from the National Health and Nutrition Examination Survey on Prognosis and Predictors Using Machine Learning

利用机器学习探索癌症背景下的肌少症性肥胖:来自美国国家健康与营养调查的关于预后和预测因素的见解

Jiang, Yinuo; Jiang, Wenjie; Wang, Qun; Wei, Ting; Chan, Lawrence Wing Chi

Enhancing Diagnostic Images to Improve the Performance of the Segment Anything Model in Medical Image Segmentation

增强诊断图像以提高医学图像分割中“任意分割”模型的性能

Kong, Luoyi; Huang, Mohan; Zhang, Lingfeng; Chan, Lawrence Wing Chi

Altered dynamic functional connectivity in antagonistic state in first-episode, drug-naïve patients with major depressive disorder

首发、未接受药物治疗的重度抑郁症患者在对抗状态下动态功能连接的改变

Wang, Min; Chen, Tao; He, Zhongyi; Chan, Lawrence Wing-Chi; Guo, Qinger; Cai, Shuyang; Duan, Jingfeng; Zhang, Danbin; Wang, Xunda; Fang, Yu; Yang, Hong

Contrast-Enhanced Ultrasound-Based Radiomics for the Prediction of Axillary Lymph Nodes Status in Breast Cancer

基于对比增强超声的放射组学方法预测乳腺癌腋窝淋巴结状态

Lun, Haimei; Huang, Mohan; Zhao, Yihong; Huang, Jingyu; Li, Lingling; Cheng, HoiYing; Leung, Yiki; So, HongWai; Wong, YuenChun; Cheung, ChakKwan; So, ChiWang; Chan, Lawrence Wing Chi; Hu, Qiao