Peer-to-peer Collaborative Application-Level Multicast. - Jianbing Zhu; Takeshi Tsuchiya; Kei'ichi Koyanagi (CEC/EEE, 2007)

Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images. - Qian Yu; Yinghuan Shi; Jinquan Sun; Yang Gao 001; Yakang Dai; Jianbing Zhu (CoRR, 2018)

Simultaneous segmentation and bias field estimation using local fitted images. - Lei Wang 163; Jianbing Zhu; Mao Sheng; Adriena Cribb; Shaocheng Zhu; Jiantao Pu (Pattern Recognit., 2018)

An Effective Radiomics Model for Noninvasive Discrimination of Fat-poor Angiomyolipoma from Clear Cell Renal Cell Carcinoma. - Yi Yang; Jianbing Zhu; Zhiyong Zhou; Yakang Dai; Xusheng Qian (SSCI, 2019)

Crossbar-Net: A Novel Convolutional Neural Network for Kidney Tumor Segmentation in CT Images. - Qian Yu; Yinghuan Shi; Jinquan Sun; Yang Gao 001; Jianbing Zhu; Yakang Dai (IEEE Trans. Image Process., 2019)

Self-paced learning based multi-kernel KRR for brain structure analysis in patients with different blood pressure levels. - Bo Peng 008; Xinying Yu; Xinwei Ma; Jianbing Zhu; Yakang Dai (CISP-BMEI, 2020)

Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for Robust Segmentation. - Qian Yu; Yinghuan Shi; Yefeng Zheng 001; Yang Gao 001; Jianbing Zhu; Yakang Dai (CoRR, 2020)

A new machine learning based user-friendly software platform for automatic radiomics modeling and analysis. - Zhiyong Zhou; Xusheng Qian; Jisu Hu; Jianbing Zhu; Chen Geng 002; Yakang Dai (EMBC, 2021)

Research on reservoir lithology prediction method based on convolutional recurrent neural network. - Kewen Li; Yingjie Xi; Zhaoxin Su; Jianbing Zhu; Baosan Wang (Comput. Electr. Eng., 2021)

Seismic Fault Segmentation via 3D-CNN Training by a Few 2D Slices Labels. - Yimin Dou; Kewen Li 002; Jianbing Zhu; Xiao Li; Yingjie Xi (CoRR, 2021)

Efficient Training of 3D Seismic Image Fault Segmentation Network under Sparse Labels by Weakening Anomaly Annotation. - Yimin Dou; Kewen Li 002; Jianbing Zhu; Timing Li; Shaoquan Tan; Zongchao Huang (CoRR, 2021)

Crossover-Net: Leveraging vertical-horizontal crossover relation for robust medical image segmentation. - Qian Yu; Yang Gao 001; Yefeng Zheng 001; Jianbing Zhu; Yakang Dai; Yinghuan Shi (Pattern Recognit., 2021)

MD Loss: Efficient Training of 3-D Seismic Fault Segmentation Network Under Sparse Labels by Weakening Anomaly Annotation. - Yimin Dou; Kewen Li 002; Jianbing Zhu; Timing Li; Shaoquan Tan; Zongchao Huang (IEEE Trans. Geosci. Remote. Sens., 2022)

Attention-Based 3-D Seismic Fault Segmentation Training by a Few 2-D Slice Labels. - Yimin Dou; Kewen Li 002; Jianbing Zhu; Xiao Li; Yingjie Xi (IEEE Trans. Geosci. Remote. Sens., 2022)

3-D Image-Domain Least-Squares Reverse Time Migration With L1 Norm Constraint and Total Variation Regularization. - Wei Zhang 212; Jinghuai Gao; Yuanfeng Cheng; Chaoguang Su; Hongxian Liang; Jianbing Zhu (IEEE Trans. Geosci. Remote. Sens., 2022)

LogRegX: An Explainable Regression Network for Cross-Well Geophysical Logs Generation. - Wenjun Lv; Chenhui Yuan; Jichen Wang; Jianbing Zhu; Yu Kang 001; Ji Chang (IEEE Trans. Instrum. Meas., 2023)

CAPNet: Context attention pyramid network for computer-aided detection of microcalcification clusters in digital breast tomosynthesis. - Jingkun Wang; Haotian Sun; Ke Jiang; Weiwei Cao; Shuangqing Chen; Jianbing Zhu; Xiaodong Yang 005; Jian Zheng 001 (Comput. Methods Programs Biomed., 2023)