Robert M. Nishikawa

Orcid: 0000-0001-7720-9951

According to our database1, Robert M. Nishikawa authored at least 76 papers between 1994 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Developing a breast lesion simulator and remover in mammograms using Cycle-GAN: focusing on its impacts on a computer aided detection algorithm.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022
Identifying Women With Mammographically- Occult Breast Cancer Leveraging GAN-Simulated Mammograms.
IEEE Trans. Medical Imaging, 2022

Analyzing GAN artifacts for simulating mammograms: application towards finding mammographically-occult cancer.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Improving lesion detection algorithm in digital breast tomosynthesis leveraging ensemble cross-validation models with multi-depth levels.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021
Estimating near term breast cancer risk from sequential mammograms using deep learning, radon cumulative distribution transform, and a clinical risk factor: preliminary analysis.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020
Cross-Organ, Cross-Modality Transfer Learning: Feasibility Study for Segmentation and Classification.
IEEE Access, 2020

Simulating breast mammogram using conditional generative adversarial network: application towards finding mammographically-occult cancer.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019
Oculomotor behaviour of radiologists reading digital breast tomosynthesis (DBT).
Proceedings of the Medical Imaging 2019: Image Perception, 2019

Detecting mammographically-occult cancer in women with dense breasts using deep convolutional neural network and Radon cumulative distribution transform.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Limiting Level of False-Positive Detections in Classification of Microcalcification Clusters in Mammograms.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Detecting mammographically-occult cancer in women with dense breasts using Radon Cumulative Distribution Transform: a preliminary analysis.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Developing imaging biomarkers for mammographically-occult cancer in dense breasts using a radiologist's progress rating on cancer development: a preliminary analysis.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

Reducing the effect of false positives in classification of detected clustered microcalcifications.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Estimating the Accuracy Level Among Individual Detections in Clustered Microcalcifications.
IEEE Trans. Medical Imaging, 2017

Agreement between a computer-assisted tool and radiologists to classify lesions in breast elastography images.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Neutrosophic segmentation of breast lesions for dedicated breast CT.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016
Can model observers be developed to reproduce radiologists' diagnostic performances? Our study says not so fast!
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

Changes in frequency of recall recommendations of examinations depicting cancer with the availability of either priors or digital breast tomosynthesis.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

Agreement Between Radiologists' Interpretations of Screening Mammograms.
Proceedings of the Breast Imaging, 2016

Proposal of Semi-automatic Classification of Breast Lesions for Strain Sonoelastography Using a Dedicated CAD System.
Proceedings of the Breast Imaging, 2016

An image-retrieval aided diagnosis system for clustered microcalcifications.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Quantitative study of image features of clustered microcalcifications in for-presentation mammograms.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2014
Exploring perceptually similar cases with multi-dimensional scaling.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

Predicting the Benefit of Using CADe in Screening Mammography.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

2013
Reduction of false positive detection in clustered microcalcifications.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
Regularization in Retrieval-Driven Classification of Clustered Microcalcifications for Breast Cancer.
Int. J. Biomed. Imaging, 2012

A Directional Small-Scale Tissue Model for an Anthropomorphic Breast Phantom.
Proceedings of the Breast Imaging, 2012

Methods for Evaluating the Effectiveness of Screening Mammography Are Not Necessarily Valid for Evaluating the Effectiveness of Computer-Aided Detection in Screening Mammography.
Proceedings of the Breast Imaging, 2012

Estimating Sensitivity and Specificity in an ROC Experiment.
Proceedings of the Breast Imaging, 2012

2011
A comparison study of textural features between FFDM and film mammogram images.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Textural feature comparison between FFDM and film mammograms.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Evaluation of a 3D lesion segmentation algorithm on DBT and breast CT images.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010

Human Observer Performance in a Single Slice or a Volume: Effect of Background Correlation.
Proceedings of the Digital Mammography, 2010

Stratified Sampling for Case Selection Criteria for Evaluating CAD.
Proceedings of the Digital Mammography, 2010

An Anthropomorphic Software Breast Phantom for Tomosynthesis Simulation: Power Spectrum Analysis of Phantom Projections.
Proceedings of the Digital Mammography, 2010

2009
Microcalcification classification assisted by content-based image retrieval for breast cancer diagnosis.
Pattern Recognit., 2009

Learning of Perceptual Similarity From Expert Readers for Mammogram Retrieval.
IEEE J. Sel. Top. Signal Process., 2009

2008
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.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008

Effect of Scan Angle and Reconstruction Algorithm on Model Observer Performance in Tomosynthesis.
Proceedings of the Digital Mammography, 2008

2007
Current status and future directions of computer-aided diagnosis in mammography.
Comput. Medical Imaging Graph., 2007

Retrieval-Driven Microcalcification Classification for Breast Cancer Diagnosis.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
Development of an Analytic Breast Phantom for Quantitative Comparison of Reconstruction Algorithms for Digital Breast Tomosynthesis.
Proceedings of the Digital Mammography, 2006

Modeling the Effect of Computer-Aided Detection on the Sensitivity of Screening Mammography.
Proceedings of the Digital Mammography, 2006

Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images.
Proceedings of the Digital Mammography, 2006

Mammogram Retrieval by Similarity Learning from Experts.
Proceedings of the International Conference on Image Processing, 2006

2005
Relevance vector machine for automatic detection of clustered microcalcifications.
IEEE Trans. Medical Imaging, 2005

A study on several Machine-learning methods for classification of Malignant and benign clustered microcalcifications.
IEEE Trans. Medical Imaging, 2005

The hypervolume under the ROC hypersurface of "Near-Guessing" and Near-Perfect" observers in N-class classification tasks.
IEEE Trans. Medical Imaging, 2005

A study of several CAD methods for classification of clustered microcalcifications.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

A relevance vector machine technique for the automatic detection of clustered microcalcifications (Honorable Mention Poster Award).
Proceedings of the Medical Imaging 2005: Image Processing, 2005

Relevance vector machine learning for detection of microcalcifications in mammograms.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
A similarity learning approach to content-based image retrieval: application to digital mammography.
IEEE Trans. Medical Imaging, 2004

A reconstruction-independent method for computerized mass detection in digital tomosynthesis images of the breast.
Proceedings of the Medical Imaging 2004: Image Processing, 2004

Computerized detection and 3-way classification of breast lesions on ultrasound images.
Proceedings of the Medical Imaging 2004: Image Processing, 2004

Computer simulation of mammographic imaging for applications in CAD.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

Computerized detection of mammographic masses in digital breast tomosynthesis images using radial gradient index filtering.
Proceedings of the CARS 2004. Computer Assisted Radiology and Surgery. Proceedings of the 18th International Congress and Exhibition, 2004

2003
Automated selection of BI-RADS lesion descriptors for reporting calcifications in mammograms.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

2002
A Support Vector Machine Approach for Detection of Microcalcifications.
IEEE Trans. Medical Imaging, 2002

Improving the automated classification of clustered calcifications on mammograms through the improved detection of individual calcifications.
Proceedings of the Medical Imaging 2002: Image Processing, 2002

Intelligent CAD workstation for breast imaging using similarity to known lesions and multiple visual prompt aids.
Proceedings of the Medical Imaging 2002: Image Processing, 2002

Support vector machine learning for detection of microcalcifications in mammograms.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

A support vector machine approach for detection of microcalcifications in mammograms.
Proceedings of the 2002 International Conference on Image Processing, 2002

2001
Eliminating false-positive microcalcification clusters in a mammography CAD scheme using a Bayesian neural network.
Proceedings of the Medical Imaging 2001: Image Processing, 2001

An evaluation criterion for edge detection techniques in noisy images.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
Hierarchical, Multi-resolution Models for Object Recognition: Applications to Mammographic Computer-aided Diagnosis.
Proceedings of the 29th Applied Image Pattern Recognition Workshop (AIPR 2000), 2000

1999
Front-end data reduction in computer-aided diagnosis of mammograms: a pilot study.
Proceedings of the Medical Imaging 1999: Image Processing, 1999

1998
Optimization and FROC Analysis of Rule-Based Detection Schemes Using a Multiobjective Approach.
IEEE Trans. Medical Imaging, 1998

Variations in measured performance of CAD schemes due to database composition and scoring protocol.
Proceedings of the Medical Imaging 1998: Image Processing, 1998

Requirement of microcalcification detection for computerized classification of malignant and benign clustered microcalcifications.
Proceedings of the Medical Imaging 1998: Image Processing, 1998

Prospective Testing of a Clinical Mammography Workstation for CAD: Analysis of the First 10, 000 Cases.
Proceedings of the Digital Mammography, 1998

Benefits of Computer-Aided Diagnosis (CAD) in Mammographic Diagnosis of Malignant and Benign Clustered Microcalcifications.
Proceedings of the Digital Mammography, 1998

Computer-Aided Diagnosis of Digital Mammography and Ultrasound Images of Breast Mass Lesions.
Proceedings of the Digital Mammography, 1998

1996
Exploiting context in mammograms: a hierarchical neural network for detecting microcalcifications.
Proceedings of the Medical Imaging 1996: Image Processing, 1996

Reproducibility of an automated scheme for the detection of clustered microcalcifications on digital mammograms.
Proceedings of the Medical Imaging 1996: Image Processing, 1996

1995
Optimizing wavelet transform based on supervised learning for detection of microcalcifications in digital mammograms.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

1994
Development of a digital duplication system for portable chest radiographs.
J. Digit. Imaging, 1994


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