Xiaomeng Shi

Deep learning image reconstruction algorithm reduces image noise while alters radiomics features in dual-energy CT in comparison with conventional iterative reconstruction algorithms: a phantom study

W. Yao, Huan Zhang, Jianying Li, 2022, European Radiology.

Robustness of CT radiomics features: consistency within and between single-energy CT and dual-energy CT

W. Yao, Huan Zhang, Jianying Li, 2022, European Radiology.

Robustness of radiomics features of virtual unenhanced and virtual monoenergetic images in dual-energy CT among different imaging platforms and potential role of CT number variability

Huan Zhang, Jianying Li, Z. Pan, 2023, Insights into Imaging.

Impacts of Adaptive Statistical Iterative Reconstruction-V and Deep Learning Image Reconstruction Algorithms on Robustness of CT Radiomics Features: Opportunity for Minimizing Radiomics Variability Among Scans of Different Dose Levels

Huan Zhang, Yong Chen, Lan Wang, 2024, Journal of imaging informatics in medicine.

Improving lesion conspicuity in abdominal dual-energy CT with deep learning image reconstruction: a prospective study with five readers

Yangfan Hu, Huan Zhang, L. Du, 2023, European Radiology.

Evaluation of Image Quality and Detectability of Deep Learning Image Reconstruction (DLIR) Algorithm in Single- and Dual-energy CT

Yangfan Hu, Yong Chen, Yue Xing, 2023, Journal of Digital Imaging.