Robert M. Nishikawa

Tokyo University of Science — Japan

Computer Science · Physical Sciences

47h-index8.5kcitations360works1.62yr avg
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Research Topics

AI in cancer detection(226), Digital Radiography and Breast Imaging(140), Radiomics and Machine Learning in Medical Imaging(101), Medical Imaging Techniques and Applications(62), Global Cancer Incidence and Screening(48)

Publications360 total

Mammo-GAN-Assisted Deep Network Training Scheme for Lesion Detection
Journal of Imaging Informatics in Medicine·2025Open Access
Does concurrent reading with AI lead to more false negative errors for cancers that are not marked by AI?
2025
AI-driven race prediction from mammographic images: anatomical insights for AI model's bias mitigation
2025
Developing breast dense tissue segmentation algorithm in digital breast tomosynthesis
2025
Human-AI-Collaboration SECI Model: The Knowledge Management Model of the Experts’ Tacit Knowledges with Augmented LLM-Based AI
Smart innovation, systems and technologies·2025· 1 cited
Reply to: “Annual Versus Biennial Mammographic Screening” and “Breast Cancer Screening Interval: Effects of Proportions and Biases on Benefits”
Journal of Clinical Oncology·2024Open Access
Stop Training Artificial Intelligence Algorithms Now. Start Prospective Trials!
Journal of Breast Imaging·2024· 1 cited
Breast Cancer Screening Interval: Effect on Rate of Late-Stage Disease at Diagnosis and Overall Survival
Journal of Clinical Oncology·2024· 14 citedOpen Access
Further adventures in AI-directed double reading (AID-DR) for single reading environments
2024
Sample-efficient framework for breast lesion detection in digital breast tomosynthesis: preliminary analysis on its generalizability
2024
Differences in longitudinal changes of mammographic breast percent density among normal, benign, and cancer patients: a preliminary study
2024
Adaptive thresholding technique for segmenting breast dense tissue in digital breast tomosynthesis: a preliminary study
2024
Abstract PO1-07-09: Benefit of Adherence to Annual Mammography Screening: Results from 8,305 Cancers in an Institutional Database
Cancer Research·2024
Breast lesion detection scheme for low gadolinium dose DCE-MRI using radon cumulative distribution transform and domain transfer: preliminary results
2024
Developing an image-domain transformation technique for adapting deep learning algorithms: preliminary work using simulated tomosynthesis of breast patches
2024
Organizational Breast Cancer Data Mart: A Solution for Assessing Outcomes of Imaging and Treatment
JCO Clinical Cancer Informatics·2024· 1 citedOpen Access
The journey to better breast cancer detection: a trilogy
2024
Developing classification and segmentation algorithms for GAN-generated mammographic artifacts based on radiologist annotation
2024
Improving lesion detection in mammograms by leveraging a Cycle-GAN-based lesion remover
Breast Cancer Research·2024· 10 citedOpen Access
Reflection through interaction with digital twin AI in the Human-AI-Collaboration SECI Model
Procedia Computer Science·2024· 5 citedOpen Access
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Frequent Co-authors

Maryellen L. Giger(17), Robert A. Schmidt(14), Kunio Doi(12), Yulei Jiang(6), Charles E. Metz(6), Carl J. Vyborny(6), Ingrid Reiser(6), Martin J. Yaffe(5), Kunio Doi(4), Yongyi Yang(4), Kazuteru Doi(4), Hiroyuki Yoshida(4), John Papaioannou(4), Liyang Wei(3), Miles N. Wernick(3), Heber MacMahon(3), Richard H. Moore(3), Daniel B. Kopans(3), Wei Zhang(3), Alexandra Edwards(3)