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Robert M. Nishikawa: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Paul Sajda, Clay Spence, Lucas C. Parra, Robert M. Nishikawa
    Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis. [Citation Graph (0, 0)][DBLP]
    AIPR, 2000, pp:159-165 [Conf]
  2. Ingrid S. Reiser, Robert M. Nishikawa, Maryellen L. Giger, Elizabeth A. Rafferty, Daniel B. Kopans, Richard Moore, Tao Wu
    Computerized detection of mammographic masses in digital breast tomosynthesis images using radial gradient index filtering. [Citation Graph (0, 0)][DBLP]
    CARS, 2004, pp:1352- [Conf]
  3. Yinghui Zhang, Robert M. Nishikawa
    Computer simulation of mammographic imaging for applications in CAD. [Citation Graph (0, 0)][DBLP]
    CARS, 2004, pp:890-895 [Conf]
  4. Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa
    A support vector machine approach for detection of microcalcifications in mammograms. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2002, pp:953-956 [Conf]
  5. Liyang Wei, Yongyi Yang, Robert M. Nishikawa
    Relevance vector machine learning for detection of microcalcifications in mammograms. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2005, pp:9-12 [Conf]
  6. Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Miles N. Wernick
    Learning of perceptual similarity from expert readers for mammogram retrieval. [Citation Graph (0, 0)][DBLP]
    ISBI, 2006, pp:1356-1359 [Conf]
  7. Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa
    Support vector machine learning for detection of microcalcifications in mammograms. [Citation Graph (0, 0)][DBLP]
    ISBI, 2002, pp:201-204 [Conf]
  8. Hui Li, Maryellen L. Giger, Yading Yuan, Li Lan, Kenji Suzuki, Andrew Jamieson, Laura Yarusso, Robert M. Nishikawa, Charlene Sennett
    Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images. [Citation Graph (0, 0)][DBLP]
    Digital Mammography / IWDM, 2006, pp:569-575 [Conf]
  9. Robert M. Nishikawa
    Modeling the Effect of Computer-Aided Detection on the Sensitivity of Screening Mammography. [Citation Graph (0, 0)][DBLP]
    Digital Mammography / IWDM, 2006, pp:46-53 [Conf]
  10. Ingrid S. Reiser, Emil Y. Sidky, Robert M. Nishikawa, Xiaochuan Pan
    Development of an Analytic Breast Phantom for Quantitative Comparison of Reconstruction Algorithms for Digital Breast Tomosynthesis. [Citation Graph (0, 0)][DBLP]
    Digital Mammography / IWDM, 2006, pp:190-196 [Conf]
  11. Mark A. Anastasio, Matthew A. Kupinski, Robert M. Nishikawa
    Optimization and FROC Analysis of Rule-Based Detection Schemes Using a Multiobjective Approach. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 1998, v:17, n:6, pp:1089-1093 [Journal]
  12. Darrin C. Edwards, Charles E. Metz, Robert M. Nishikawa
    The hypervolume under the ROC hypersurface of "Near-Guessing" and Near-Perfect" observers in N-class classification tasks. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2005, v:24, n:3, pp:293-299 [Journal]
  13. Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Robert M. Nishikawa, Miles N. Wernick
    A similarity learning approach to content-based image retrieval: application to digital mammography. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2004, v:23, n:10, pp:1233-1244 [Journal]
  14. Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa
    A Support Vector Machine Approach for Detection of Microcalcifications. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2002, v:21, n:11, pp:1552-1563 [Journal]
  15. Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Yulei Jiang
    A study on several Machine-learning methods for classification of Malignant and benign clustered microcalcifications. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2005, v:24, n:3, pp:371-380 [Journal]
  16. Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Miles N. Wernick, A. Edwards
    Relevance vector machine for automatic detection of clustered microcalcifications. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2005, v:24, n:10, pp:1278-1285 [Journal]
  17. Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Miles N. Wernick
    Mammogram Retrieval by Similarity Learning from Experts. [Citation Graph (0, 0)][DBLP]
    ICIP, 2006, pp:2517-2520 [Conf]

  18. Microcalcification Classification Assisted by Content-Based Image Retrieval for Breast Cancer Diagnosis. [Citation Graph (, )][DBLP]


  19. Retrieval-Driven Microcalcification Classification for Breast Cancer Diagnosis. [Citation Graph (, )][DBLP]


  20. Effect of Scan Angle and Reconstruction Algorithm on Model Observer Performance in Tomosynthesis. [Citation Graph (, )][DBLP]


  21. An Anthropomorphic Software Breast Phantom for Tomosynthesis Simulation: Power Spectrum Analysis of Phantom Projections. [Citation Graph (, )][DBLP]


  22. Human Observer Performance in a Single Slice or a Volume: Effect of Background Correlation. [Citation Graph (, )][DBLP]


  23. Stratified Sampling for Case Selection Criteria for Evaluating CAD. [Citation Graph (, )][DBLP]


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