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Journal Articles
- 2023
[j8]Jingkun Wang
, Haotian Sun, Ke Jiang, Weiwei Cao, Shuangqing Chen, Jianbing Zhu, Xiaodong Yang, Jian Zheng:
CAPNet: Context attention pyramid network for computer-aided detection of microcalcification clusters in digital breast tomosynthesis. Comput. Methods Programs Biomed. 242: 107831 (2023)- 2022
- [j7]Yimin Dou, Kewen Li, Jianbing Zhu, Timing Li, Shaoquan Tan, Zongchao Huang:
MD Loss: Efficient Training of 3-D Seismic Fault Segmentation Network Under Sparse Labels by Weakening Anomaly Annotation. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j6]Yimin Dou, Kewen Li, Jianbing Zhu, Xiao Li, Yingjie Xi:
Attention-Based 3-D Seismic Fault Segmentation Training by a Few 2-D Slice Labels. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j5]Wei Zhang, Jinghuai Gao, Yuanfeng Cheng, Chaoguang Su, Hongxian Liang, Jianbing Zhu:
3-D Image-Domain Least-Squares Reverse Time Migration With L1 Norm Constraint and Total Variation Regularization. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - 2021
- [j4]Kewen Li, Yingjie Xi, Zhaoxin Su, Jianbing Zhu, Baosan Wang:
Research on reservoir lithology prediction method based on convolutional recurrent neural network. Comput. Electr. Eng. 95: 107404 (2021) - [j3]Qian Yu, Yang Gao, Yefeng Zheng, Jianbing Zhu, Yakang Dai, Yinghuan Shi:
Crossover-Net: Leveraging vertical-horizontal crossover relation for robust medical image segmentation. Pattern Recognit. 113: 107756 (2021) - 2019
- [j2]Qian Yu, Yinghuan Shi, Jinquan Sun, Yang Gao, Jianbing Zhu, Yakang Dai:
Crossbar-Net: A Novel Convolutional Neural Network for Kidney Tumor Segmentation in CT Images. IEEE Trans. Image Process. 28(8): 4060-4074 (2019) - 2018
- [j1]Lei Wang, Jianbing Zhu, Mao Sheng, Adriena Cribb, Shaocheng Zhu, Jiantao Pu:
Simultaneous segmentation and bias field estimation using local fitted images. Pattern Recognit. 74: 145-155 (2018)
Conference and Workshop Papers
- 2021
- [c4]Zhiyong Zhou, Xusheng Qian, Jisu Hu, Jianbing Zhu, Chen Geng, Yakang Dai:
A new machine learning based user-friendly software platform for automatic radiomics modeling and analysis. EMBC 2021: 2810-2814 - 2020
- [c3]Bo Peng, Xinying Yu, Xinwei Ma, Jianbing Zhu, Yakang Dai:
Self-paced learning based multi-kernel KRR for brain structure analysis in patients with different blood pressure levels. CISP-BMEI 2020: 169-174 - 2019
- [c2]Yi Yang, Jianbing Zhu, Zhiyong Zhou, Yakang Dai, Xusheng Qian:
An Effective Radiomics Model for Noninvasive Discrimination of Fat-poor Angiomyolipoma from Clear Cell Renal Cell Carcinoma. SSCI 2019: 1551-1558 - 2007
- [c1]Jianbing Zhu, Takeshi Tsuchiya, Kei'ichi Koyanagi:
Peer-to-peer Collaborative Application-Level Multicast. CEC/EEE 2007: 228-238
Informal and Other Publications
- 2021
- [i4]Yimin Dou, Kewen Li, Jianbing Zhu, Xiao Li, Yingjie Xi:
Seismic Fault Segmentation via 3D-CNN Training by a Few 2D Slices Labels. CoRR abs/2105.03857 (2021) - [i3]Yimin Dou, Kewen Li, Jianbing Zhu, Timing Li, Shaoquan Tan, Zongchao Huang:
Efficient Training of 3D Seismic Image Fault Segmentation Network under Sparse Labels by Weakening Anomaly Annotation. CoRR abs/2110.05319 (2021) - 2020
- [i2]Qian Yu, Yinghuan Shi, Yefeng Zheng, Yang Gao, Jianbing Zhu, Yakang Dai:
Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for Robust Segmentation. CoRR abs/2004.01397 (2020) - 2018
- [i1]Qian Yu, Yinghuan Shi, Jinquan Sun, Yang Gao, Yakang Dai, Jianbing Zhu:
Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images. CoRR abs/1804.10484 (2018)
Coauthor Index
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