Clayton R. Taylor
Computer Science · The Ohio State University
Publications
23
Citations
175
Est. group size
—
Recurring co-author estimate
Active years
33
Publishing since 1994
Clayton R. Taylor works in breast imaging radiology, focusing on mammography, contrast-enhanced imaging, and the use of artificial intelligence/deep learning to improve breast cancer screening and diagnosis. Work spans clinical practice standards, imaging quality initiatives, and applying machine learning to tasks like predicting treatment response and detecting poorly positioned mammograms.
Publication output has been modest but fairly steady over the past decade, with a slight uptick in activity since 2020 averaging just over 2 publications per year in the last 5 years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Abstract PS3-06-27: Deep Learning to Predict Pathological Complete Response in Patients Receiving NAC using Pre-treatment Clinical and Imaging Features
Clinical Cancer Research · 2026
- Applying the Contrast-enhanced Mammography BI-RADS Lexicon to Clinical Practice
Radiographics · 2025
- 3225 Delirium assessments in an acute frailty ward: an audit of current practice
Age and Ageing · 2025
- Standardizing Workflow, Patient Care, and Reimbursement for Radiology Second Opinions
Journal of Imaging Informatics in Medicine · 2025
- The FDA Enhancing Quality Using the Inspection Program (EQUIP) Breast Imaging Quality Initiative. 5-Year Clinical Experience
Journal of Breast Imaging · 2024
- Artificial Intelligence Applications in Breast Imaging: Current Status and Future Directions
Diagnostics · 2023
- Artificial Intelligence Applications in Breast Imaging: Current Status and Future Directions
Preprints.org · 2023
- EPR23-082: Patient Awareness of Elevated Breast Cancer Risk After Routine Screening Mammogram and Risk Notification
Journal of the National Comprehensive Cancer Network · 2023
- Sentinel node mapping and biopsy in ectopic axillary breast cancer: A case report and review of the literature
Clinical Case Reports · 2022
- Providing a Multidisciplinary Symposium Dedicated to Breast Imaging Technologists’ Education
Journal of the American College of Radiology · 2022
- Sentinel node mapping and biopsy in ectopic axillary breast cancer: A case report and review of the literature
2022
- Deep Learning Based Automatic Detection of Adequately Positioned Mammograms
Lecture notes in computer science · 2021
- Longitudinal Trends in Plant-based and Animal-based Protein Intakes in US Adults: NHANES 2005 to 2018
Journal of the Academy of Nutrition and Dietetics · 2021
- Long-term safety and efficacy of breast biopsy markers in clinical practice
Expert Review of Medical Devices · 2020
- Deep Learning-Based Automatic Detection of Poorly Positioned Mammograms\n to Minimize Patient Return Visits for Repeat Imaging: A Real-World\n Application
arXiv (Cornell University) · 2020
- Journal of the American College of Radiology×2
- arXiv (Cornell University)×2
- Journal of the Academy of Nutrition and Dietetics×2
- Diagnostics×1
- Clinical Case Reports×1
- Jeffrey Hawley
Medicine · The Ohio State University
- Giovanni Lujan
Computer Science · The Ohio State University
- Maryam Tahir
Computer Science · The Ohio State University
- Arwa Shana’ah
Computer Science · The Ohio State University
- Alain Chen
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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