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ORCIDRobert M. Nishikawa
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2020 – today
- 2023
[c64]Juhun Lee, Robert M. Nishikawa:
Developing a breast lesion simulator and remover in mammograms using Cycle-GAN: focusing on its impacts on a computer aided detection algorithm. Computer-Aided Diagnosis 2023- 2022
- [j14]Juhun Lee
, Robert M. Nishikawa:
Identifying Women With Mammographically- Occult Breast Cancer Leveraging GAN-Simulated Mammograms. IEEE Trans. Medical Imaging 41(1): 225-236 (2022) - [c63]Belayat Hossain, Robert M. Nishikawa, Juhun Lee:
Improving lesion detection algorithm in digital breast tomosynthesis leveraging ensemble cross-validation models with multi-depth levels. Computer-Aided Diagnosis 2022 - [c62]Juhun Lee, Robert M. Nishikawa:
Analyzing GAN artifacts for simulating mammograms: application towards finding mammographically-occult cancer. Computer-Aided Diagnosis 2022 - 2021
- [c61]Juhun Lee, Robert M. Nishikawa, Andriy Bandos, Margarita L. Zuley:
Estimating near term breast cancer risk from sequential mammograms using deep learning, radon cumulative distribution transform, and a clinical risk factor: preliminary analysis. Computer-Aided Diagnosis 2021 - [i1]Juhun Lee, Robert M. Nishikawa:
Identifying Women with Mammographically-Occult Breast Cancer Leveraging GAN-Simulated Mammograms. CoRR abs/2109.12113 (2021) - 2020
- [j13]Juhun Lee, Robert M. Nishikawa:
Cross-Organ, Cross-Modality Transfer Learning: Feasibility Study for Segmentation and Classification. IEEE Access 8: 210194-210205 (2020) - [c60]Juhun Lee, Robert M. Nishikawa:
Simulating breast mammogram using conditional generative adversarial network: application towards finding mammographically-occult cancer. Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [c59]María V. Sainz de Cea, Robert M. Nishikawa, Yongyi Yang:
Limiting Level of False-Positive Detections in Classification of Microcalcification Clusters in Mammograms. ISBI 2019: 1061-1064 - [c58]Juhun Lee, Robert M. Nishikawa:
Detecting mammographically-occult cancer in women with dense breasts using deep convolutional neural network and Radon cumulative distribution transform. Computer-Aided Diagnosis 2019: 1095003 - [c57]Nicholas M. D'Ardenne, Robert M. Nishikawa, Margarita L. Zuley, Chia-Chien Wu, Jeremy M. Wolfe:
Oculomotor behaviour of radiologists reading digital breast tomosynthesis (DBT). Image Perception, Observer Performance, and Technology Assessment 2019: 1095204 - [e2]Robert M. Nishikawa, Frank W. Samuelson:
Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 16-21 February 2019. SPIE Proceedings 10952, SPIE 2019 [contents] - 2018
- [c56]Maria V. Sainz de Cea, Yongyi Yang, Robert M. Nishikawa:
Reducing the effect of false positives in classification of detected clustered microcalcifications. ISBI 2018: 253-256 - [c55]Juhun Lee, Sung Eun Song, Robert M. Nishikawa:
Developing imaging biomarkers for mammographically-occult cancer in dense breasts using a radiologist's progress rating on cancer development: a preliminary analysis. IWBI 2018: 107180G - [c54]Juhun Lee, Robert M. Nishikawa, Gustavo K. Rohde:
Detecting mammographically-occult cancer in women with dense breasts using Radon Cumulative Distribution Transform: a preliminary analysis. Computer-Aided Diagnosis 2018: 1057508 - [e1]Robert M. Nishikawa, Frank W. Samuelson:
Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment, Houston, Texas, United States, 10-15 February 2018. SPIE Proceedings 10577, SPIE 2018, ISBN 9781510616431 [contents] - 2017
- [j12]Maria V. Sainz de Cea, Robert M. Nishikawa, Yongyi Yang:
Estimating the Accuracy Level Among Individual Detections in Clustered Microcalcifications. IEEE Trans. Medical Imaging 36(5): 1162-1171 (2017) - [c53]Juhun Lee, Robert M. Nishikawa, Ingrid S. Reiser, John M. Boone:
Neutrosophic segmentation of breast lesions for dedicated breast CT. Computer-Aided Diagnosis 2017: 101340Q - [c52]Karem D. Marcomini, Eduardo F. C. Fleury, Vilmar M. Oliveira, Antonio A. O. Carneiro, Homero Schiabel, Robert M. Nishikawa:
Agreement between a computer-assisted tool and radiologists to classify lesions in breast elastography images. Computer-Aided Diagnosis 2017: 101342T - 2016
- [c51]Juan Wang, Yongyi Yang, Robert M. Nishikawa:
Quantitative study of image features of clustered microcalcifications in for-presentation mammograms. ICIP 2016: 3404-3408 - [c50]Juan Wang, Yongyi Yang, Miles N. Wernick, Robert M. Nishikawa:
An image-retrieval aided diagnosis system for clustered microcalcifications. ISBI 2016: 1076-1079 - [c49]Robert M. Nishikawa, Christopher E. Comstock, Michael N. Linver, Gillian M. Newstead, Vinay Sandhir, Robert A. Schmidt:
Agreement Between Radiologists' Interpretations of Screening Mammograms. Digital Mammography / IWDM 2016: 3-10 - [c48]Karem D. Marcomini, Eduardo F. C. Fleury, Homero Schiabel, Robert M. Nishikawa:
Proposal of Semi-automatic Classification of Breast Lesions for Strain Sonoelastography Using a Dedicated CAD System. Digital Mammography / IWDM 2016: 454-460 - [c47]Christiane M. Hakim, Andriy I. Bandos, Marie A. Ganott, Victor J. Catullo, Denise M. Chough, Amy E. Kelly, Dilip D. Shinde, Jules H. Sumkin, Luisa P. Wallace, Robert M. Nishikawa, David Gur:
Changes in frequency of recall recommendations of examinations depicting cancer with the availability of either priors or digital breast tomosynthesis. Image Perception, Observer Performance, and Technology Assessment 2016: 97871A - [c46]Juhun Lee, Robert M. Nishikawa, Ingrid S. Reiser, John M. Boone:
Can model observers be developed to reproduce radiologists' diagnostic performances? Our study says not so fast! Image Perception, Observer Performance, and Technology Assessment 2016: 978707 - 2014
- [c45]Robert M. Nishikawa, Andriy I. Bandos:
Predicting the Benefit of Using CADe in Screening Mammography. Digital Mammography / IWDM 2014: 44-49 - [c44]Juan Wang, Yongyi Yang, Miles N. Wernick, Robert M. Nishikawa:
Exploring perceptually similar cases with multi-dimensional scaling. Computer-Aided Diagnosis 2014: 90351W - 2013
- [c43]Juan Wang, Yongyi Yang, Robert M. Nishikawa:
Reduction of false positive detection in clustered microcalcifications. ICIP 2013: 1433-1437 - 2012
- [j11]Hao Jing, Yongyi Yang, Robert M. Nishikawa:
Regularization in Retrieval-Driven Classification of Clustered Microcalcifications for Breast Cancer. Int. J. Biomed. Imaging 2012: 463408:1-463408:8 (2012) - [c42]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 - [c41]Robert M. Nishikawa:
Estimating Sensitivity and Specificity in an ROC Experiment. Digital Mammography / IWDM 2012: 690-696 - [c40]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
- [c39]Hao Jing, Yongyi Yang, Laura Yarusso, Robert M. Nishikawa:
Textural feature comparison between FFDM and film mammograms. ISBI 2011: 148-151 - [c38]Hao Jing, Yongyi Yang, Miles N. Wernick, Laura M. Yarusso, Robert M. Nishikawa:
A comparison study of textural features between FFDM and film mammogram images. Computer-Aided Diagnosis 2011: 79631M - 2010
- [c37]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 - [c36]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 - [c35]Robert M. Nishikawa, Lorenzo L. Pesce:
Stratified Sampling for Case Selection Criteria for Evaluating CAD. Digital Mammography / IWDM 2010: 534-539 - [c34]Ingrid S. Reiser, S. P. Joseph, Robert M. Nishikawa, Maryellen L. Giger, John M. Boone, Karen K. Lindfors, Alexandra Edwards, Nathan J. Packard, Richard H. Moore, Daniel B. Kopans:
Evaluation of a 3D lesion segmentation algorithm on DBT and breast CT images. Computer-Aided Diagnosis 2010: 76242N
2000 – 2009
- 2009
- [j10]Liyang Wei, Yongyi Yang, Miles N. Wernick, Robert M. Nishikawa:
Learning of Perceptual Similarity From Expert Readers for Mammogram Retrieval. IEEE J. Sel. Top. Signal Process. 3(1): 53-61 (2009) - [j9]Liyang Wei, Yongyi Yang, Robert M. Nishikawa:
Microcalcification classification assisted by content-based image retrieval for breast cancer diagnosis. Pattern Recognit. 42(6): 1126-1132 (2009) - 2008
- [c33]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 - [c32]Laura M. Yarusso, Robert M. Nishikawa:
Influence of signal-to-noise ratio and temporal stability on computer-aided detection of mammographic microcalcifications in digitized screen-film and full-field digital mammography. Computer-Aided Diagnosis 2008: 69151X - 2007
- [j8]Robert M. Nishikawa:
Current status and future directions of computer-aided diagnosis in mammography. Comput. Medical Imaging Graph. 31(4-5): 224-235 (2007) - [c31]Yongyi Yang, Liyang Wei, Robert M. Nishikawa:
Microcalcification Classification Assisted by Content-Based Image Retrieval for Breast Cancer Diagnosis. ICIP (5) 2007: 1-4 - [c30]Liyang Wei, Yongyi Yang, Robert M. Nishikawa:
Retrieval-Driven Microcalcification Classification for Breast Cancer Diagnosis. ISBI 2007: 1260-1263 - 2006
- [c29]Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Miles N. Wernick:
Mammogram Retrieval by Similarity Learning from Experts. ICIP 2006: 2517-2520 - [c28]Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Miles N. Wernick:
Learning of perceptual similarity from expert readers for mammogram retrieval. ISBI 2006: 1356-1359 - [c27]Robert M. Nishikawa:
Modeling the Effect of Computer-Aided Detection on the Sensitivity of Screening Mammography. Digital Mammography / IWDM 2006: 46-53 - [c26]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 - [c25]Hui Li, Maryellen L. Giger, Yading Yuan, Li Lan, Kenji Suzuki, Andrew R. 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
- [j7]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. Medical Imaging 24(3): 293-299 (2005) - [j6]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. Medical Imaging 24(3): 371-380 (2005) - [j5]Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Miles N. Wernick, Alexandra Edwards:
Relevance vector machine for automatic detection of clustered microcalcifications. IEEE Trans. Medical Imaging 24(10): 1278-1285 (2005) - [c24]Liyang Wei, Yongyi Yang, Robert M. Nishikawa:
Relevance vector machine learning for detection of microcalcifications in mammograms. ICIP (1) 2005: 9-12 - [c23]Liyang Wei, Yongyi Yang, Robert M. Nishikawa:
A relevance vector machine technique for the automatic detection of clustered microcalcifications (Honorable Mention Poster Award). Image Processing 2005 - [c22]Liyang Wei, Yongyi Yang, Robert M. Nishikawa, Yulei Jiang:
A study of several CAD methods for classification of clustered microcalcifications. Image Processing 2005 - 2004
- [j4]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. Medical Imaging 23(10): 1233-1244 (2004) - [c21]Yinghui Zhang, Robert M. Nishikawa:
Computer simulation of mammographic imaging for applications in CAD. CARS 2004: 890-895 - [c20]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 - [c19]Karen Drukker, Darrin C. Edwards, Maryellen Lissak Giger, Robert M. Nishikawa, Charles E. Metz:
Computerized detection and 3-way classification of breast lesions on ultrasound images. Image Processing 2004 - [c18]Ingrid S. Reiser, Emil Y. Sidky, Maryellen Lissak Giger, Robert M. Nishikawa, Elizabeth A. Rafferty, Daniel B. Kopans, Richard H. Moore, Tao Wu:
A reconstruction-independent method for computerized mass detection in digital tomosynthesis images of the breast. Image Processing 2004 - 2003
- [c17]Sophie Paquerault, Yulei Jiang, Robert M. Nishikawa, Robert A. Schmidt, Carl J. D'Orsi, Carl J. Vyborny, Gillian M. Newstead:
Automated selection of BI-RADS lesion descriptors for reporting calcifications in mammograms. Image Processing 2003 - 2002
- [j3]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. Medical Imaging 21(11): 1552-1563 (2002) - [c16]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 - [c15]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 - [c14]Maryellen Lissak Giger, Zhimin Huo, Carl J. Vyborny, Li Lan, Ioana R. Bonta, Karla Horsch, Robert M. Nishikawa, Ingrid Rosenborough:
Intelligent CAD workstation for breast imaging using similarity to known lesions and multiple visual prompt aids. Image Processing 2002 - [c13]Robert M. Nishikawa, Maria Fernanda Salfity, Yulei Jiang, John Papaioannou:
Improving the automated classification of clustered calcifications on mammograms through the improved detection of individual calcifications. Image Processing 2002 - 2001
- [c12]Francisco L. Valverde, Nicolás Guil, José Muñoz, Robert M. Nishikawa, Kunio Doi:
An evaluation criterion for edge detection techniques in noisy images. ICIP (1) 2001: 766-769 - [c11]Darrin C. Edwards, John Papaioannou, Yulei Jiang, Matthew A. Kupinski, Robert M. Nishikawa:
Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network. Image Processing 2001 - 2000
- [c10]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
- 1999
- [c9]Hamed Sari-Sarraf, Shaun S. Gleason, Robert M. Nishikawa:
Front-end data reduction in computer-aided diagnosis of mammograms: a pilot study. Image Processing 1999 - 1998
- [j2]Mark A. Anastasio, Matthew A. Kupinski, Robert M. Nishikawa:
Optimization and FROC Analysis of Rule-Based Detection Schemes Using a Multiobjective Approach. IEEE Trans. Medical Imaging 17(6): 1089-1093 (1998) - [c8]Maryellen L. Giger, Zhimin Huo, Dulcy E. Wolverton, Carl J. Vyborny, Catherine Moran, Robert A. Schmidt, Hania A. Al-Hallaq, Robert M. Nishikawa, Kunio Doi:
Computer-Aided Diagnosis of Digital Mammography and Ultrasound Images of Breast Mass Lesions. Digital Mammography / IWDM 1998: 143-147 - [c7]Yulei Jiang, Robert M. Nishikawa, Robert A. Schmidt, Charles E. Metz, Maryellen L. Giger, Kunio Doi:
Benefits of Computer-Aided Diagnosis (CAD) in Mammographic Diagnosis of Malignant and Benign Clustered Microcalcifications. Digital Mammography / IWDM 1998: 215-220 - [c6]Robert M. Nishikawa, Maryellen L. Giger, Dulcy E. Wolverton, Robert A. Schmidt, Christopher E. Comstock, John Papaioannou, Stephen A. Collins, Kunio Doi:
Prospective Testing of a Clinical Mammography Workstation for CAD: Analysis of the First 10, 000 Cases. Digital Mammography / IWDM 1998: 401-406 - [c5]Yulei Jiang, Robert M. Nishikawa, John Papaioannou:
Requirement of microcalcification detection for computerized classification of malignant and benign clustered microcalcifications. Image Processing 1998 - [c4]Robert M. Nishikawa, Laura M. Yarusso:
Variations in measured performance of CAD schemes due to database composition and scoring protocol. Image Processing 1998 - 1996
- [c3]Robert M. Nishikawa, John Papaioannou, Stephen A. Collins:
Reproducibility of an automated scheme for the detection of clustered microcalcifications on digital mammograms. Image Processing 1996 - [c2]Paul Sajda, Clay D. Spence, John C. Pearson, Robert M. Nishikawa:
Exploiting context in mammograms: a hierarchical neural network for detecting microcalcifications. Image Processing 1996 - 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 - 1994
- [j1]Kenneth R. Hoffmann, Kunio Doi, Heber MacMahon, Maryellen L. Giger, Robert M. Nishikawa, Xin-Wei Xu, Lian Yao, Akiko Kano, Michael Carlin:
Development of a digital duplication system for portable chest radiographs. J. Digit. Imaging 7(3): 146-153 (1994)
Coauthor Index
Maryellen L. Giger
aka: Maryellen Lissak Giger
aka: Maryellen Lissak Giger
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