2008 |
20 | EE | Ingrid S. Reiser,
B. 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 |
19 | EE | Yongyi Yang,
Liyang Wei,
Robert M. Nishikawa:
Microcalcification Classification Assisted by Content-Based Image Retrieval for Breast Cancer Diagnosis.
ICIP (5) 2007: 1-4 |
18 | EE | Liyang Wei,
Yongyi Yang,
Robert M. Nishikawa:
Retrieval-Driven Microcalcification Classification for Breast Cancer Diagnosis.
ISBI 2007: 1260-1263 |
2006 |
17 | EE | 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 |
16 | EE | Robert M. Nishikawa:
Modeling the Effect of Computer-Aided Detection on the Sensitivity of Screening Mammography.
Digital Mammography / IWDM 2006: 46-53 |
15 | EE | 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 |
14 | EE | Liyang Wei,
Yongyi Yang,
Robert M. Nishikawa,
Miles N. Wernick:
Mammogram Retrieval by Similarity Learning from Experts.
ICIP 2006: 2517-2520 |
13 | EE | Liyang Wei,
Yongyi Yang,
Robert M. Nishikawa,
Miles N. Wernick:
Learning of perceptual similarity from expert readers for mammogram retrieval.
ISBI 2006: 1356-1359 |
2005 |
12 | EE | Liyang Wei,
Yongyi Yang,
Robert M. Nishikawa:
Relevance vector machine learning for detection of microcalcifications in mammograms.
ICIP (1) 2005: 9-12 |
11 | EE | 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) |
10 | EE | 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) |
9 | EE | 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) |
2004 |
8 | | 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.
CARS 2004: 1352 |
7 | | Yinghui Zhang,
Robert M. Nishikawa:
Computer simulation of mammographic imaging for applications in CAD.
CARS 2004: 890-895 |
6 | EE | 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) |
2002 |
5 | | 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 |
4 | EE | 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 |
3 | | 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) |
2000 |
2 | EE | 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 |
1998 |
1 | | 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) |