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)

Emory Knee Radiograph (MRKR) Dataset. - Brandon J. Price; Jason Adleberg; Kaesha Thomas; Zach Zaiman; Aawez Mansuri; Beatrice Brown-Mulry; Chima Okechukwu; Judy Gichoya; Hari Trivedi (CoRR, 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)

Novel AI-Based Quantification of Breast Arterial Calcification to Predict Cardiovascular Risk. - Theodorus Dapamede; Aisha Urooj; Vedant Joshi; Gabrielle Gershon; Frank Li 005; Mohammadreza Chavoshi; Beatrice Brown-Mulry; Rohan Satya Isaac; Aawez Mansuri; Chad Robichaux; Chadi Ayoub; Reza Arsanjani; et al. (CoRR, 2025)

A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study. - Jungkyu Park 001; Jan Witowski; Yanqi Xu; Hari Trivedi; Judy Gichoya; Beatrice Brown-Mulry; Malte Westerhoff; Linda Moy; Laura Heacock; Alana Lewin; Krzysztof J. Geras (CoRR, 2025)