Wen Hao

Application of MRI Radiomics-Based Machine Learning Model to Improve Contralateral BI-RADS 4 Lesion Assessment

Weijun Peng, Bin Zhao, Shengping Wang, 2020, Frontiers in Oncology.

A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images

B. Zheng, Jing Gong, Ji-yu Liu, 2019, European Radiology.

Image quality of the CAIPIRINHA-Dixon-TWIST-VIBE technique for ultra-fast breast DCE-MRI: Comparison with the conventional GRE technique.

Weijun Peng, Guangbin Wang, Bin Zhao, 2020, European journal of radiology.

Influence of scan duration on the estimation of pharmacokinetic parameters for breast lesions: a study based on CAIPIRINHA-Dixon-TWIST-VIBE technique

Guangbin Wang, Bin Zhao, Cuiyan Wang, 2015, European Radiology.

Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan

Jing Gong, Wen Hao, Xianwu Xia, 2020, Frontiers in Oncology.

Assessment of tibial and common peroneal nerves in diabetic peripheral neuropathy by diffusion tensor imaging: a case control study

A. Chhabra, Q. Chan, Weibo Chen, 2017, European Radiology.

Computer-aided diagnosis of ground-glass opacity pulmonary nodules using radiomic features analysis

Shengping Wang, Weijun Peng, Jing Gong, 2019, Physics in medicine and biology.