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

Machine learning integrating MRI and clinical features predicts early recurrence of hepatocellular carcinoma after resection

结合MRI和临床特征的机器学习方法可预测肝细胞癌切除术后的早期复发

Feng, Lijuan; Luo, Ningbin; Ruan, Fengqiu; Zheng, Xihuan; Pan, Xiaoyu; Li, Xuan; Fu, Liang; Long, Liling

The result prediction of fluorescence in situ hybridization for breast cancer patients based on machine learning and deep learning models: a multicenter study

基于机器学习和深度学习模型的乳腺癌患者荧光原位杂交结果预测:一项多中心研究

Jiang, Cong; Chen, Dong; Yu, Xiao; Zhang, Shentao; Xiu, Yuting; Luo, Ningbin; Wu, Jingjing; Zhang, Xuefang; Chen, Man; Yang, Dechun; Zhu, Ziyu; Huang, Yuanxi; Ning, Shipeng; Tang, Shicong

Functional Liver Imaging Score to Predict Clinically Significant PHLF for Hepatocellular Carcinoma After Resection

功能性肝脏影像评分预测肝细胞癌切除术后临床显著性肝功能衰竭

Zheng, Xihua; Zhang, Yumin; Huang, Huiying; Luo, Ningbin

Differentiation of dual- and non-dual-phenotype hepatocellular carcinoma based on contrast-enhanced computed tomography and patient characteristics

基于增强CT和患者特征区分双表型和非双表型肝细胞癌

Qin, Yunying; Zhang, Siyi; Huang, Xiangyang; Luo, Ningbin; Su, Danke

Superparamagnetic Iron Oxide-Erastin-Polyethylene Glycol Nanotherapeutic Platform: A Ferroptosis-Based Approach for the Integrated Diagnosis and Treatment of Nasopharyngeal Cancer.

超顺磁性氧化铁-Erastin-聚乙二醇纳米治疗平台:基于铁死亡的鼻咽癌综合诊断和治疗方法

Tang Haonan, Zhou Xiao, Liu Lijuan, Wang Ziyu, Wang Chen, Luo Ningbin, Jin Guanqiao

A Dual-Mode Imaging Nanoparticle Probe Targeting PD-L1 for Triple-Negative Breast Cancer

一种靶向PD-L1的双模成像纳米颗粒探针用于三阴性乳腺癌

Li, Xiajin; Ji, Yinan; Chen, Miao; Zhang, Siyi; Wang, Ziyu; Su, Danke; Luo, Ningbin