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Jianwu Xu
Publications
- 2014
- [j2]Jianwu Xu, Kenji Suzuki:
Max-AUC Feature Selection in Computer-Aided Detection of Polyps in CT Colonography. IEEE J. Biomed. Health Informatics 18(2): 585-593 (2014) - 2012
- [c9]Jianwu Xu, Kenji Suzuki:
Maximal partial AUC feature selection in computer-aided detection of hepatocellular carcinoma in contrast-enhanced hepatic CT. Medical Imaging: Computer-Aided Diagnosis 2012: 83150H - [c8]Jianwu Xu, Kenji Suzuki:
Computer-aided detection of polyps in CT colonography by means of AdaBoost. Medical Imaging: Computer-Aided Diagnosis 2012: 83150V - 2011
- [c7]Jianwu Xu, Kenji Suzuki:
Computer-aided detection of hepatocellular carcinoma in hepatic CT: False positive reduction with feature selection. ISBI 2011: 1097-1100 - [c6]Jianwu Xu, Kenji Suzuki, Masatoshi Hori, Aytekin Oto, Richard Baron:
Computer-aided detection of hepatocellular carcinoma in multiphase contrast-enhanced hepatic CT: a preliminary study. Medical Imaging: Computer-Aided Diagnosis 2011: 79630S - [c5]Jianwu Xu, Kenji Suzuki:
Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based Machine Learning Techniques. MLMI 2011: 360-367 - 2010
- [j1]Kenji Suzuki, Jun Zhang, Jianwu Xu:
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 29(11): 1907-1917 (2010) - [c4]Kenji Suzuki, Mark L. Epstein, Ryan Kohlbrenner, Ademola Obajuluwa, Jianwu Xu, Masatoshi Hori, Richard Baron:
CT liver volumetry using geodesic active contour segmentation with a level-set algorithm. Medical Imaging: Computer-Aided Diagnosis 2010: 76240R - [c3]Kenji Suzuki, Mark L. Epstein, Jianwu Xu, Piotr Obara, Don C. Rockey, Abraham H. Dachman:
Automated scheme for measuring polyp volume in CT colonography using Hessian matrix-based shape extraction and 3D volume growing. Medical Imaging: Computer-Aided Diagnosis 2010: 762423 - [c2]Jianwu Xu, Kenji Suzuki:
False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography: A Massive-Training Support Vector Regression Approach. Virtual Colonoscopy and Abdominal Imaging 2010: 47-52 - [c1]Kenji Suzuki, Jianwu Xu, Jun Zhang, Ivan Sheu:
Principal-Component Massive-Training Machine-Learning Regression for False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography. MLMI 2010: 182-189
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