Bingbing Zheng

发表

Automated Classification of Pulmonary Nodules for Lung Adenocarcinomas Risk Evaluation: An Effective CT Analysis by Clustering Density Distribution Algorithm

Y. Zhu, Vanbang Le, Dawei Yang, 2017 .

Images denoising for COVID-19 chest X-ray based on multi-resolution parallel residual CNN

Bingbing Zheng, Xiaoben Jiang, Yu Zhu, 2021, Mach. Vis. Appl..

FERGCN: facial expression recognition based on graph convolution network

Y. Zhu, Bingbing Zheng, Xiaoben Jiang, 2022, Machine Vision and Applications.

MXT: A New Variant of Pyramid Vision Transformer for Multi-label Chest X-ray Image Classification

Bingbing Zheng, Xiaoben Jiang, Yu Zhu, 2022, Cognitive Computation.

Automated Segmentation Based on Residual U-Net Model for MR Prostate Images

Yu Zhu, Bingbing Zheng, Xiangxiang Qin, 2018, CISP-BMEI.

MA-Net:Mutex attention network for COVID-19 diagnosis on CT images

Bingbing Zheng, Yu Zhu, Dawei Yang, 2022, Applied Intelligence.

Domain Adaptable Normalization for Semi-Supervised Action Recognition in the Dark

Rui Chen, Bingbing Zheng, Jiajun Chen, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

MSD-Net: Multi-Scale Discriminative Network for COVID-19 Lung Infection Segmentation on CT

Yu Zhu, Tao Xu, Bingbing Zheng, 2020, IEEE Access.

Pulmonary nodule risk classification in adenocarcinoma from CT images using deep CNN with scale transfer module

Yu Zhu, Lin Zhao, Jie Zheng, 2020, IET Image Process..

Hierarchical CNN-based real-time fatigue detection system by visual-based technologies using MSP model

Yu Zhu, Xudong Chen, Bingbing Zheng, 2018, IET Image Process..

3D gray density coding feature for benign-malignant pulmonary nodule classification on chest CT.

Bingbing Zheng, C. Bai, Jie Hu, 2021, Medical physics.

Quantitative CT analysis of pulmonary nodules for lung adenocarcinoma risk classification based on an exponential weighted grey scale angular density distribution feature

Yu Zhu, Bingbing Zheng, Dawei Yang, 2018, Comput. Methods Programs Biomed..

COVID-19 lesion discrimination and localization network based on multi-receptive field attention module on CT images

F. Yu, Bingbing Zheng, Budong Chen, 2021, Optik.

3D multi-scale discriminative network with multi-directional edge loss for prostate zonal segmentation in bi-parametric MR images

Peijun Wang, Wei Wang, Yu Zhu, 2020, Neurocomputing.

Images denoising for COVID-19 chest X-ray based on multi-resolution parallel residual CNN

Bingbing Zheng, Xiaoben Jiang, Yu Zhu, 2021, Machine Vision and Applications.