A Novel Brain Tumor Segmentation Approach Based on Deep Convolutional Neural Network and Level Set. - Jingjing Wang 002; Jun Gao; Jinwen Ren; Yanhua Zhao; Liren Zhang (ICAIT, 2020)

A Convolutional Neural Network Based on Self-Attention Mechanism for Molecular Property Prediction Using Molecular Hidden Fingerprints: An efficient molecular property prediction method. - Hongzhen Li; Wenhan Zhao; Jingjing Wang 002; Zengzhao Sun; Jinwen Ren; Bo Zhang; Zhenye Luan; Zishu Yu (ICNCC, 2021)

DFP-ResUNet: Convolutional Neural Network with a Dilated Convolutional Feature Pyramid for Multimodal Brain Tumor Segmentation. - Jingjing Wang 002; Jun Gao; Jinwen Ren; Zhenye Luan; Zishu Yu; Yanhua Zhao; Yuefeng Zhao (Comput. Methods Programs Biomed., 2021)

An adaptive sparse Bayesian model combined with joint information-based label fusion for brain tumor segmentation in MRI. - Jingjing Wang 002; Zhenye Luan; Zishu Yu; Jun Gao; Jinwen Ren; Khushal Khan; Kejiang Yuan; Huaqiang Xu (Signal Image Video Process., 2022)

Superpixel segmentation with squeeze-and-excitation networks. - Jingjing Wang 002; Zhenye Luan; Zishu Yu; Jinwen Ren; Jun Gao; Kejiang Yuan; Huaqiang Xu (Signal Image Video Process., 2022)