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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.
Frontiers in Human Neuroscience|January 24, 2025
Single-channel attention classification algorithm based on robust Kalman filtering and norm-constrained ELMJing He, Zijun Huang, Yunde Li, et al.
BMC Medical Imaging|December 1, 2023
A transfer learning nomogram for predicting prostate cancer and benign conditions on MRIJunhao Chen, Bao Feng, Maoqing Hu, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|December 7, 2021
Deep learning nomogram for predicting lymph node metastasis using computed tomography image in cervical cancerPeijun Li, Bao Feng, Yu Liu, et al.
European Radiology|November 28, 2020
MIP image derived from abbreviated breast MRI: potential to reduce unnecessary sub-nipple biopsies during nipple-sparing mastectomy for breast cancerZhuangsheng Liu, Xiaoping Li, Bao Feng, 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.
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.
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.
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