Jianxing Feng

发表

Predicting Chemotherapeutic Response for Far-advanced Gastric Cancer by Radiomics with Deep Learning Semi-automatic Segmentation

L. Zou, Huan Zhang, J. Ji, 2020, Journal of Cancer.

Deep learning for differentiating novel coronavirus pneumonia and influenza pneumonia

Min Zhou, J. Qu, Fuhua Yan, 2021, Annals of translational medicine.

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.

A pilot study of radiomics signature based on biparametric MRI for preoperative prediction of extrathyroidal extension in papillary thyroid carcinoma.

Zhaohong Deng, Kang Wang, Xin Xu, 2020, Journal of X-ray science and technology.

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.

Learnable interpolation and extrapolation network for fuzzy pulmonary lobe segmentation

Xiaochen Fan, Xin Xu, Jianxing Feng, 2023, IET Image Process..

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.

Improved deep learning model for differentiating novel coronavirus pneumonia and influenza pneumonia

J. Qu, M. Zhou, Y. Chen, 2020, medRxiv.