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BMC Medical Imaging|September 27, 2025
Nomogram for predicting tumor-stroma ratio in pancreatic ductal adenocarcinoma using dual-energy computed tomographyWeiyue Chen, Guihan Lin, Weibo Mao, et al.
The British Journal of Radiology|October 9, 2025
Non-invasive prediction of Central lymph node metastasis in papillary thyroid microcarcinoma with machine learning-based CT radiomics: a multicenter studyFeng Cheng, Guihan Lin, Weiyue Chen, et al.
Journal of Computer Assisted Tomography|February 26, 2025
Using Computed Tomography Coronary Angiography to Differentiate Atypical Cardiac Myxoma From ThrombusNannan Zhang, Chuanqiang Lan, Zeliu Du, et al.
Abdominal Radiology (New York)|July 16, 2025
Multi-DECT image-based radiomics with interpretable machine learning for preoperative prediction of tumor budding grade and prognosis in colorectal cancer: a dual-center studyGuihan Lin, Weiyue Chen, Yongjun Chen, et al.
Frontiers in Neurology|August 8, 2025
MRI-based multiregional radiomics for preoperative prediction of Ki-67 expression in meningiomas: a two-center studyMing Luo, Guihan Lin, Duoning Chen, et al.
The British Journal of Radiology|February 2, 2024
Non-invasive prediction model of axillary lymph node status in patients with early-stage breast cancer: a feasibility study based on dynamic contrast-enhanced-MRI radiomicsWeiyue Chen, Guihan Lin, Chunli Kong, et al.
Frontiers in Neurology|November 6, 2023
The value of computed tomography perfusion deficit volumes in acute isolated brainstem infarctionPengjun Chen, Yiying Pan, Jingke Wang, et al.
Technology in Cancer Research & Treatment|August 31, 2023
Predictive Models for Colon Adenocarcinoma Diagnosis, Prognosis, and Immune Microenvironment Based on 2 Hypoxia-Related Genes: KDM3A and ENO3Chunli Kong, Liyun Zheng, Shiji Fang, et al.
BMC Cancer|April 5, 2024
Prediction of the Ki-67 expression level in head and neck squamous cell carcinoma with machine learning-based multiparametric MRI radiomics: a multicenter studyWeiyue Chen, Guihan Lin, Yongjun Chen, et al.
Eclinicalmedicine|September 4, 2023
Development and validation of convolutional neural network-based model to predict the risk of sentinel or non-sentinel lymph node metastasis in patients with breast cancer: a machine learning studyMingzhen Chen, Chunli Kong, Guihan Lin, et al.
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