Jianwu Xu
According to our database1,
Jianwu Xu
authored at least 20 papers
between 2010 and 2021.
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Bibliography
2021
Novel Convolutional Neural Network with Variational Information Bottleneck for P300 Detection.
Entropy, 2021
2020
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Mining Multivariate Discrete Event Sequences for Knowledge Discovery and Anomaly Detection.
Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2020
2018
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
2016
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems, 2016
2014
IEEE J. Biomed. Health Informatics, 2014
Proceedings of the Service Science and Knowledge Innovation, 2014
2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Maximal partial AUC feature selection in computer-aided detection of hepatocellular carcinoma in contrast-enhanced hepatic CT.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
2011
Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based Machine Learning Techniques.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
Computer-aided detection of hepatocellular carcinoma in multiphase contrast-enhanced hepatic CT: a preliminary study.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Computer-aided detection of hepatocellular carcinoma in hepatic CT: False positive reduction with feature selection.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Massive-Training Artificial Neural Network Coupled With Laplacian-Eigenfunction-Based Dimensionality Reduction for Computer-Aided Detection of Polyps in CT Colonography.
IEEE Trans. Medical Imaging, 2010
False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography: A Massive-Training Support Vector Regression Approach.
Proceedings of the Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities, 2010
Principal-Component Massive-Training Machine-Learning Regression for False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010
Automated scheme for measuring polyp volume in CT colonography using Hessian matrix-based shape extraction and 3D volume growing.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
CT liver volumetry using geodesic active contour segmentation with a level-set algorithm.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Proceedings of the Information Theoretic Learning, 2010