FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection. - Zexun Zhou; Zhongshi He; Ziyu Chen; Yuanyuan Jia; Haiyan Wang; Jinglong Du; Dingding Chen (CoRR, 2017)

FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection. - Zexun Zhou; Zhongshi He; Ziyu Chen; Yuanyuan Jia; Haiyan Wang; Jinglong Du; Dingding Chen; Lulu Wang 013; Jing Chen (IJCNN, 2018)

Brain MRI Super-Resolution Using 3D Dilated Convolutional Encoder-Decoder Network. - Jinglong Du; Lulu Wang 013; Yulu Liu; Zexun Zhou; Zhongshi He; Yuanyuan Jia (IEEE Access, 2020)

3D dense connectivity network with atrous convolutional feature pyramid for brain tumor segmentation in magnetic resonance imaging of human heads. - Zexun Zhou; Zhongshi He; Meifeng Shi; Jinglong Du; Dingding Chen (Comput. Biol. Medicine, 2020)

Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network. - Jinglong Du; Zhongshi He; Lulu Wang 013; Ali Gholipour; Zexun Zhou; Dingding Chen; Yuanyuan Jia (Neurocomputing, 2020)

AFPNet: A 3D fully convolutional neural network with atrous-convolution feature pyramid for brain tumor segmentation via MRI images. - Zexun Zhou; Zhongshi He; Yuanyuan Jia (Neurocomputing, 2020)

Context prior-based with residual learning for face detection: A deep convolutional encoder-decoder network. - Zexun Zhou; Zhongshi He; Yuanyuan Jia; Jinglong Du; Lulu Wang 013; Ziyu Chen (Signal Process. Image Commun., 2020)

Comprehensive exploiting local and global features for brain tumor segmentation: A gated dual-branch hybrid attention mechanism. - Zexun Zhou; Xiaochun Yu; Wei Huang; Shuwei Qiu; Mahammad Humayoo; Huiying Li; Mingjun Shi (Biomed. Signal Process. Control., 2025)