Robert Nishikawa (he/him)
University of Pittsburgh
H-index: 58
North America-United States
Top articles of Robert Nishikawa (he/him)
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
The journey to better breast cancer detection: a trilogy | Robert M Nishikawa | 2024/3/30 | |
Improving lesion detection in mammograms by leveraging a Cycle-GAN-based lesion remover | Breast Cancer Research | Juhun Lee Robert M Nishikawa | 2024/2/1 |
Abstract PO1-07-09: Benefit of Adherence to Annual Mammography Screening: Results from 8,305 Cancers in an Institutional Database | Cancer Research | Robert Nishikawa Andriy Bandos Stephen Duffy Durwin Logue Margarita Zuley | 2024/5/2 |
Developing an image-domain transformation technique for adapting deep learning algorithms: preliminary work using simulated tomosynthesis of breast patches | Md Belayat Hossain Bruno Barufaldi Andrew DA Maidment Robert M Nishikawa Juhun Lee | 2024/4/3 | |
Breast lesion detection scheme for low gadolinium dose DCE-MRI using Radon Cumulative Distribution Transform and Domain Transfer: preliminary results | Juhun Lee Federico Pineda Gregory S Karczmar Robert M Nishikawa Hiroyuki Abe | 2024/4/3 | |
Organizational Breast Cancer Data Mart: A Solution for Assessing Outcomes of Imaging and Treatment | JCO Clinical Cancer Informatics | Margarita L Zuley Jonathan Silverstein Durwin Logue Richard S Morgan Rohit Bhargava | 2024/4 |
Use of artificial intelligence for digital breast tomosynthesis screening: a preliminary real-world experience | Journal of Breast Imaging | Haley Letter Meridith Peratikos Alicia Toledano Jeffrey Hoffmeister Robert Nishikawa | 2023/5/1 |
Developing a breast lesion simulator and remover in mammograms using Cycle-GAN: focusing on its impacts on a computer aided detection algorithm | Juhun Lee Robert M Nishikawa | 2023/4/7 | |
AI in Screening Mammography: Use One Radiologist and Improve Double Reads | Robert M Nishikawa Amy H Lu | 2023/11/21 | |
Impact of GAN artifacts for simulating mammograms on identifying mammographically occult cancer | Journal of Medical Imaging | Juhun Lee Tamerlan Mustafaev Robert M Nishikawa | 2023/9/1 |
Standalone AI for breast cancer detection at screening digital mammography and digital breast tomosynthesis: a systematic review and meta-analysis | Jung Hyun Yoon Fredrik Strand Pascal AT Baltzer Emily F Conant Fiona J Gilbert | 2023/5/23 | |
Fifty years of SPIE Medical Imaging proceedings papers | Journal of Medical Imaging | Robert M Nishikawa Thomas M Deserno Anant Madabhushi Elizabeth A Krupinski Ronald M Summers | 2022/2 |
Developing breast lesion detection algorithms for digital breast tomosynthesis: Leveraging false positive findings | Medical physics | Md Belayat Hossain Robert M Nishikawa Juhun Lee | 2022/12 |
Using the medical audit to improve practice performance | Sarah M Friedewald David V Schacht Golbahar Houshmand Robert M Nishikawa Michael N Linver | 2022/9/1 | |
Improving lesion detection algorithm in digital breast tomosynthesis leveraging ensemble cross-validation models with multi-depth levels | Belayat Hossain Robert M Nishikawa Juhun Lee | 2022/4/4 | |
Analyzing GAN artifacts for simulating mammograms: application towards finding mammographically-occult cancer | Juhun Lee Robert M Nishikawa | 2022/4/4 | |
How does a 2D preview help a 3D search?–An eye tracking study of Digital Breast Tomosynthesis | Journal of Vision | Chia-Chien Wu Nicholas D'ardenne Robert Nishikawa Jeremy Wolfe | 2021/9/27 |
Identifying women with mammographically-occult breast cancer leveraging GAN-simulated mammograms | IEEE transactions on medical imaging | Juhun Lee Robert M Nishikawa | 2021/8/30 |
Estimating near term breast cancer risk from sequential mammograms using deep learning, radon cumulative distribution transform, and a clinical risk factor: preliminary analysis | Juhun Lee Robert M Nishikawa Andriy Bandos Margarita Zuley | 2021/2/15 | |
The Journal of Medical Imaging would like to sincerely thank the following individuals who served as Associate Editors in 2020. The success of our publication hinges on the … | Journal of Medical Imaging | Katherine P Andriole Susan M Astley Stephen Aylward François O Bochud Jovan G Brankov | 2021/2 |
