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IEEE Transactions on Artificial Intelligence|November 13, 2023
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction TaskHan Wu, Wenjie Ruan, Jiangtao Wang, et al.
Academic Radiology|May 23, 2025
Deep Learning-Based Multimodal Feature Interaction-Guided Fusion: Enhancing the Evaluation of EGFR in Advanced Lung AdenocarcinomaJunhui Xu, Bao Feng, Xiangmeng Chen, et al.
Advanced Materials (Deerfield Beach, Fla.)|November 29, 2025
Biomimetic TPMS Structure-Based Entangled Hydrogel for Efficient Solar-Driven Atmospheric Water HarvestingZhengyi Mao, Hanyang Yu, Zhen Yu, et al.
Clinical Imaging|March 3, 2020
Increased main pulmonary artery diameter and main pulmonary artery to ascending aortic diameter ratio in smokers undergoing lung cancer screeningDavid Steiger, Dan Han, Rowena Yip, et al.
European Journal of Radiology|May 7, 2020
Radiomics nomogram for preoperative differentiation of lung tuberculoma from adenocarcinoma in solitary pulmonary solid noduleBao Feng, Xiangmeng Chen, Yehang Chen, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|July 10, 2020
A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodulesXiangmeng Chen, Bao Feng, Yehang Chen, et al.
Annals of Surgical Oncology|September 27, 2023
Radiomics Nomogram with Added Nodal Features Improves Treatment Response Prediction in Locally Advanced Esophageal Squamous Cell Carcinoma: A Multicenter StudyKunwei Li, Shuaitong Zhang, Yi Hu, et al.
European Journal of Radiology|July 18, 2017
Hepatic steatosis in participants in a program of low-dose CT screening for lung cancerXiangmeng Chen, Kunwei Li, Rowena Yip, et al.
International Journal of Radiation Oncology, Biology, Physics|March 3, 2024
Deep Learning for Automatic Gross Tumor Volumes Contouring in Esophageal Cancer Based on Contrast-Enhanced Computed Tomography Images: A Multi-Institutional StudyShuaitong Zhang, Kunwei Li, Yuchen Sun, et al.
Frontiers in Oncology|January 1, 2026
Risk stratification for early-stage NSCLC progression: a federated learning framework with large-small model synergyZijun Huang, Bao Feng, Yehang Chen, et al.
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