Please note: This is a beta version of the new dblp website.
You can find the classic dblp view of this page here.
You can find the classic dblp view of this page here.
Robert M. Nishikawa
2010 – today
- 2012
[j10]Hao Jing, Yongyi Yang, Robert M. Nishikawa: Regularization in Retrieval-Driven Classification of Clustered Microcalcifications for Breast Cancer. Int. J. Biomedical Imaging 2012 (2012)- [c23]Ingrid S. Reiser, Beverly A. Lau, Robert M. Nishikawa, Predrag R. Bakic: A Directional Small-Scale Tissue Model for an Anthropomorphic Breast Phantom. Digital Mammography / IWDM 2012: 141-148
- [c22]Robert M. Nishikawa: Estimating Sensitivity and Specificity in an ROC Experiment. Digital Mammography / IWDM 2012: 690-696
- [c21]Robert M. Nishikawa: Methods for Evaluating the Effectiveness of Screening Mammography Are Not Necessarily Valid for Evaluating the Effectiveness of Computer-Aided Detection in Screening Mammography. Digital Mammography / IWDM 2012: 705-712
- 2011
- [c20]Hao Jing, Yongyi Yang, Laura Yarusso, Robert M. Nishikawa: Textural feature comparison between FFDM and film mammograms. ISBI 2011: 148-151
- 2010
- [c19]Ingrid S. Reiser, Robert M. Nishikawa: Human Observer Performance in a Single Slice or a Volume: Effect of Background Correlation. Digital Mammography / IWDM 2010: 327-333
- [c18]Predrag R. Bakic, Beverly A. Lau, Ann-Katherine Carton, Ingrid S. Reiser, Andrew D. A. Maidment, Robert M. Nishikawa: An Anthropomorphic Software Breast Phantom for Tomosynthesis Simulation: Power Spectrum Analysis of Phantom Projections. Digital Mammography / IWDM 2010: 452-458
- [c17]Robert M. Nishikawa, Lorenzo L. Pesce: Stratified Sampling for Case Selection Criteria for Evaluating CAD. Digital Mammography / IWDM 2010: 534-539
2000 – 2009
- 2009
- [j9]Liyang Wei, Yongyi Yang, Miles N. Wernick, Robert M. Nishikawa: Learning of Perceptual Similarity From Expert Readers for Mammogram Retrieval. J. Sel. Topics Signal Processing 3(1): 53-61 (2009)
- [j8]Liyang Wei, Yongyi Yang, Robert M. Nishikawa: Microcalcification classification assisted by content-based image retrieval for breast cancer diagnosis. Pattern Recognition 42(6): 1126-1132 (2009)
- 2008
- [c16]Ingrid S. Reiser, Beverly A. Lau, Robert M. Nishikawa: Effect of Scan Angle and Reconstruction Algorithm on Model Observer Performance in Tomosynthesis. Digital Mammography / IWDM 2008: 606-611
- 2007
- [j7]Robert M. Nishikawa: Current status and future directions of computer-aided diagnosis in mammography. Comp. Med. Imag. and Graph. 31(4-5): 224-235 (2007)
- [c15]Yongyi Yang, Liyang Wei, Robert M. Nishikawa: Microcalcification Classification Assisted by Content-Based Image Retrieval for Breast Cancer Diagnosis. ICIP (5) 2007: 1-4
- [c14]Liyang Wei, Yongyi Yang, Robert M. Nishikawa: Retrieval-Driven Microcalcification Classification for Breast Cancer Diagnosis. ISBI 2007: 1260-1263
- 2006
- [c13]Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Miles N. Wernick: Mammogram Retrieval by Similarity Learning from Experts. ICIP 2006: 2517-2520
- [c12]Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Miles N. Wernick: Learning of perceptual similarity from expert readers for mammogram retrieval. ISBI 2006: 1356-1359
- [c11]Robert M. Nishikawa: Modeling the Effect of Computer-Aided Detection on the Sensitivity of Screening Mammography. Digital Mammography / IWDM 2006: 46-53
- [c10]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. Digital Mammography / IWDM 2006: 190-196
- [c9]Hui Li, Maryellen L. Giger, Yading Yuan, Li Lan, Kenji Suzuki, Andrew Jamieson, Laura Yarusso, Robert M. Nishikawa, Charlene A. Sennett: Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images. Digital Mammography / IWDM 2006: 569-575
- 2005
- [j6]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. IEEE Trans. Med. Imaging 24(3): 293-299 (2005)
- [j5]Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Yulei Jiang: A study on several Machine-learning methods for classification of Malignant and benign clustered microcalcifications. IEEE Trans. Med. Imaging 24(3): 371-380 (2005)
- [j4]Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Miles N. Wernick, A. Edwards: Relevance vector machine for automatic detection of clustered microcalcifications. IEEE Trans. Med. Imaging 24(10): 1278-1285 (2005)
- [c8]Liyang Wei, Yongyi Yang, Robert M. Nishikawa: Relevance vector machine learning for detection of microcalcifications in mammograms. ICIP (1) 2005: 9-12
- 2004
- [j3]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. IEEE Trans. Med. Imaging 23(10): 1233-1244 (2004)
- [c7]Yinghui Zhang, Robert M. Nishikawa: Computer simulation of mammographic imaging for applications in CAD. CARS 2004: 890-895
- [c6]Ingrid S. Reiser, Robert M. Nishikawa, Maryellen L. Giger, Elizabeth A. Rafferty, Daniel B. Kopans, Richard H. Moore, Tao Wu: Computerized detection of mammographic masses in digital breast tomosynthesis images using radial gradient index filtering. CARS 2004: 1352
- 2002
- [j2]Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa: A Support Vector Machine Approach for Detection of Microcalcifications. IEEE Trans. Med. Imaging 21(11): 1552-1563 (2002)
- [c5]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. ICIP (2) 2002: 953-956
- [c4]Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa: Support vector machine learning for detection of microcalcifications in mammograms. ISBI 2002: 201-204
- 2001
- [c3]Francisco L. Valverde, Nicolás Guil Mata, José Muñoz, Robert M. Nishikawa, Kunio Doi: An evaluation criterion for edge detection techniques in noisy images. ICIP (1) 2001: 766-769
- 2000
- [c2]Paul Sajda, Clay Spence, Lucas C. Parra, Robert M. Nishikawa: Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis. AIPR 2000: 159-165
1990 – 1999
- 1998
- [j1]Mark A. Anastasio, Matthew A. Kupinski, Robert M. Nishikawa: Optimization and FROC Analysis of Rule-Based Detection Schemes Using a Multiobjective Approach. IEEE Trans. Med. Imaging 17(6): 1089-1093 (1998)
- 1995
- [c1]Hiroyuki Yoshida, Wei Zhang, Weidong Cai, Kunio Doi, Robert M. Nishikawa, Maryellen L. Giger: Optimizing wavelet transform based on supervised learning for detection of microcalcifications in digital mammograms. ICIP (3) 1995: 152-155
Coauthor Index
data released under the ODC-BY 1.0 license. See also our legal information page
last updated on 2013-02-28 21:06 CET by the dblp team