Effect of clinical decision rules, patient cost and malpractice information on clinician brain CT image ordering: a randomized controlled trial. - Ronald W. Gimbel; Ronald G. Pirrallo; Steven C. Lowe; David W. Wright 002; Lu Zhang; Minjae Woo; Paul A. Fontelo; Fang Liu 007; Zachary Connor (BMC Medical Informatics Decis. Mak., 2018)

Systematic Evaluation and Enhancement of Speech Recognition in Operational Medical Environments. - Snigdhaswin Kar; Prabodh Mishra; Ju Lin; Minjae Woo; Nicholas Deas; Caleb Linduff; Sufeng Niu; Yuzhe Yang; Jerome McClendon; D. Hudson Smith; Melissa C. Smith; Ronald W. Gimbel; et al. (IJCNN, 2021)

The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms. - Jiwoong Jason Jeong; Brianna L. Vey; Ananth Reddy Bhimireddy; Thomas Kim; Thiago Santos; Ramon Correa; Raman Dutt; Marina Mosunjac; Gabriela Oprea-Ilies; Geoffrey H. Smith; Minjae Woo; Christopher R. McAdams; et al. (CoRR, 2022)

Influence of Convolutional Neural Network Depth on the Efficacy of Automated Breast Cancer Screening Systems. - Vineela Nalla; Seyedamin Pouriyeh; Reza M. Parizi; InChan Hwang; Beatrice Brown-Mulry; Linglin Zhang; Minjae Woo (ISCC, 2023)

Performance Gaps of Artificial Intelligence Models Screening Mammography - Towards Fair and Interpretable Models. - Linglin Zhang; Beatrice Brown-Mulry; Vineela Nalla; InChan Hwang; Judy Wawira Gichoya; Aimilia Gastounioti; Imon Banerjee; Laleh Seyyed-Kalantari; Minjae Woo; Hari Trivedi (CoRR, 2023)

Image Compression and Decompression Framework Based on Latent Diffusion Model for Breast Mammography. - InChan Hwang; Minjae Woo (CoRR, 2023)

Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors. - Carolina A. M. Heming; Mohamed Abdalla 001; Monish Ahluwalia; Linglin Zhang; Hari Trivedi; Minjae Woo; Benjamin Fine; Judy Wawira Gichoya; Leo Anthony Celi; Laleh Seyyed-Kalantari (CoRR, 2023)

Class Probability-guided Ensemble Learning-based Semantic Segmentation to Predict Cancerous Regions on Hematoxylin and Eosin-stained Images. - Sanghoon Lee 007; Sai Chandana Koganti; InChan Hwang; Minjae Woo (ICSC, 2024)

Subgroup Performance of a Commercial Digital Breast Tomosynthesis Model for Breast Cancer Detection. - Beatrice Brown-Mulry; Rohan Satya Isaac; Sang Hyup Lee; Ambika Seth; KyungJee Min; Theo Dapamede; Frank Li 005; Aawez Mansuri; Minjae Woo; Christian Allison Fauria-Robinson; Bhavna Paryani; Judy Wawira Gichoya; et al. (CoRR, 2025)