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Frontiers in Human Neuroscience|October 28, 2022
A brain-like classification method for computed tomography images based on adaptive feature matching dual-source domain heterogeneous transfer learningYehang Chen, Xiangmeng Chen
Biomedical Engineering Online|June 20, 2020
Segmentation of small ground glass opacity pulmonary nodules based on Markov random field energy and Bayesian probability differenceShaorong Zhang, Xiangmeng Chen, Zhibin Zhu, et al.
Medical Physics|April 29, 2026
Cross-attention multimodal fusion for EGFR mutation prediction: A predictive model using CT and whole-slide imagesYuanshun Jiang, Bao Feng, Yehang Chen, et al.
Journal of Computer Assisted Tomography|July 26, 2019
Whole-Lesion Computed Tomography-Based Entropy Parameters for the Differentiation of Minimally Invasive and Invasive Adenocarcinomas Appearing as Pulmonary Subsolid NodulesXiangmeng Chen, Bao Feng, Yehang Chen, et al.
European Journal of Radiology|November 27, 2021
A CT-based deep learning model for subsolid pulmonary nodules to distinguish minimally invasive adenocarcinoma and invasive adenocarcinomaXiangmeng Chen, Bao Feng, Yehang Chen, et al.
Oncology Reports|April 24, 2020
A radiomics model to predict the invasiveness of thymic epithelial tumors based on contrast‑enhanced computed tomographyXiangmeng Chen, Bao Feng, Changlin Li, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|October 18, 2024
Multimodal deep learning radiomics model for predicting postoperative progression in solid stage I non-small cell lung cancerQionglian Kuang, Bao Feng, Kuncai Xu, et al.
European Radiology|May 6, 2023
Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypesXiangmeng Chen, Bao Feng, Kuncai Xu, 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.
Frontiers in Oncology|October 3, 2022
Predicting lymphovascular invasion in clinically node-negative breast cancer detected by abbreviated magnetic resonance imaging: Transfer learning vs. radiomicsBao Feng, Zhuangsheng Liu, Yu Liu, et al.
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