Publications and Pre-Prints
1. Perry et al. (2026). Fairness-Aware Subset and Coreset Analysis Selection
for Equitable AI in Skin Cancer Detection. [In Review Process]
for Equitable AI in Skin Cancer Detection. [In Review Process]
2. Perry et al. (2026). FAIR-SCAN: Ranking-Based Subset Selection for Skin Cancer Detection. Link to the paper: https://academic.oup.com/jamia/advance-article/doi/10.1093/jamia/ocag028/8512189?utm_source=authortollfreelink&utm_campaign=jamia&utm_medium=email&guestAccessKey=3dbe551a-6f2c-473d-8c4f-79ac788f422d. [Accepted February 14th, 2026 by the Journal of the American Medical Informatics Association (JAMIA)]
3. Yanovitzky et al., (2024). National Public Health Dashboards — Protocol for Scoping Review. JMIR: https://www.researchprotocols.org/2024/1/e52843 [Accepted]
4. Perry, Y. Ammari.T. (2021). "Biometric Data, IOT, and Autonomous Vehicles". Presented at CSCW 2021. [Accepted]
Posters / Abstracts
1. Rutgers Center for Biomedical Informatics & Health AI 2026 Annual Symposium’: Perry, Y, et al. 2026 ‘Fairness-Aware Coreset Selection Using Phenotype-Based Clustering for Equitable Skin Cancer Detection’. Abstract and poster accepted at Rutgers Center for Biomedical Informatics & Health AI 2026 Annual Symposium’ Link: https://ifh.rutgers.edu/event/rutgers-center-for-biomedical-informatics-health-ai-2026-symposium/
2. NIH / NCI Poster (2025). Approaches to Reduce Cancer Risk and Outcome Differences and Inequalities in Clinical Care. [Accepted]
Conference / Workshop Presentations
1. Perry et al. Fairness-Aware Subset Selection for Advancing Equity in Skin Cancer Detection. Poster presented at NIH/NCI Workshop: Approaches to Reduce Cancer Risk and Outcome Differences and Inequalities in Clinical Care, September 23–24, 2025.
2. Perry. Y., & Ammari, T. (2022). Biometrics Data, IoT, and Autonomous Vehicles. Peer-Reviewed Presentation at the ACM Conference on Computer-Support Cooperative Work and Social Computing (CSCW 2021). Runner-UP, Best Abstract & Presentation, ASIS&T SIG AI (2022).