Brain Tumor Segmentation Based on 3D Unet with Multi-Class Focal Loss. - Jie Chang 001; Xiaoci Zhang; Minquan Ye; Daobin Huang; Peipei Wang; Chuanwen Yao (CISP-BMEI, 2018)

An uniformizing method of MR image intensity transformation. - Jie Chang 001; Naijie Gu; Xiaoci Zhang; Li Yang; Chuanwen Lin; Zengshi Huang; Junjie Su (J. Vis. Commun. Image Represent., 2018)

Real time vanishing points detection on smartphones under Manhattan world assumption. - Zengshi Huang; Naijie Gu; Chuanwen Lin; Jie Shen; Jie Chang 001 (Pattern Recognit. Lett., 2018)

Automatical Pulmonary Nodule Detection by Feature Contrast Learning. - Jie Chang 001; Minquan Ye; Naijie Gu; Xiaoci Zhang; Chuanwen Lin; Hong Ye (ICIC (1), 2019)

A mix-pooling CNN architecture with FCRF for brain tumor segmentation. - Jie Chang 001; Luming Zhang; Naijie Gu; Xiaoci Zhang; Minquan Ye; Rongzhang Yin; Qianqian Meng (J. Vis. Commun. Image Represent., 2019)

Scene Categorization Using Deeply Learned Gaze Shifting Kernel. - Xiao Sun 003; Luming Zhang; Zepeng Wang 003; Jie Chang 001; Yiyang Yao; Ping Li 006; Roger Zimmermann (IEEE Trans. Cybern., 2019)

Mining discriminative spatial cues for aerial image quality assessment towards big data. - Xiaoci Zhang; Naijie Gu; Jie Chang 001; Hong Ye; Chuanwen Lin; Jie Shen (Signal Process. Image Commun., 2020)

Predicting stock price movement using a DBN-RNN. - Xiaoci Zhang; Naijie Gu; Jie Chang 001; Hong Ye (Appl. Artif. Intell., 2021)

ncRNA-Protein Interaction Prediction using Convolutional Architecture with Cross-correlation Information. - Daobin Huang; Mingquan Ye; Jie Chang 001; Yuting Liu; Ling Zhang (ICBBT, 2022)