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Journal of Applied Clinical Medical Physics|October 2, 2023
Development of machine learning model to predict pulmonary function with low-dose CT-derived parameter response mapping in a community-based chest screening cohortXiuxiu Zhou, Yu Pu, Di Zhang, et al.BMC Medical Imaging|July 1, 2026
Radiomics-based causal machine learning for exploratory treatment-effect estimation of neoadjuvant chemotherapy cycle intensity in osteosarcoma: a proof-of-concept studyZijie Yuan, Ruoyao Wang, Hao Zhang, et al.Patterns (New York, N.Y.)|February 23, 2026
A self-supervised framework for emphysema anomaly detection and staging in computed tomography scansXiang Zhang, Mingyue Zhao, Fei Yao, et al.Radiology. Artificial Intelligence|July 16, 2025
Single Inspiratory Chest CT-based Generative Deep Learning Models to Evaluate Functional Small Airways DiseaseDi Zhang, Mingyue Zhao, Xiuxiu Zhou, et al.European Radiology|January 12, 2024
CT-based whole lung radiomics nomogram: a tool for identifying the risk of cardiovascular disease in patients with chronic obstructive pulmonary diseaseXiaoQing Lin, TaoHu Zhou, Jiong Ni, et al.Quantitative Imaging in Medicine and Surgery|December 18, 2023
Extracellular volume fraction as a potential predictor to differentiate lung cancer from benign lung lesions with dual-layer detector spectral CTXin'ang Jiang, Qianyun Ma, Taohu Zhou, et al.Journal of Thoracic Disease|September 13, 2024
Intratumoral and peritumoral radiomics combined with computed tomography features for predicting the invasiveness of lung adenocarcinoma presenting as a subpleural ground-glass nodule with a consolidation-to-tumor ratio ≤50Yun Wang, Deng Lyu, Dan Yu, et al.Journal of Thoracic Imaging|July 9, 2023
Radiomics-based Machine Learning Methods for Volume Doubling Time Prediction of Pulmonary Ground-glass Nodules With Baseline Chest Computed TomographyWenjun Huang, Hanxiao Zhang, Yanming Ge, et al.BMC Pulmonary Medicine|March 16, 2025
CT-Based radiomics nomogram of lung and mediastinal features to identify cardiovascular disease in chronic obstructive pulmonary disease: a multicenter studyXiaoQing Lin, TaoHu Zhou, Jiong Ni, et al.Insights Into Imaging|March 27, 2026
Interpretable chronic obstructive pulmonary disease identification using chest X-ray radiomics: a multicenter studyQian Zhou, Weihao Zhai, Taohu Zhou, et al.Pageof 5