Minjae Woo

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 6

Top Topics

Breast Cancer Detection

Top Venues

Publications

Sanghoon Lee, Sai Chandana Koganti, InChan Hwang, Minjae Woo
Class Probability-guided Ensemble Learning-based Semantic Segmentation to Predict Cancerous Regions on Hematoxylin and Eosin-stained Images. ICSC (2024)
Carolina A. M. Heming, Mohamed Abdalla, Monish Ahluwalia, Linglin Zhang, Hari Trivedi, Minjae Woo, Benjamin Fine, Judy Wawira Gichoya, Leo Anthony Celi, Laleh Seyyed-Kalantari
Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors. CoRR (2023)
InChan Hwang, Minjae Woo
Image Compression and Decompression Framework Based on Latent Diffusion Model for Breast Mammography. CoRR (2023)
Linglin Zhang, Beatrice Brown-Mulry, Vineela Nalla, InChan Hwang, Judy Wawira Gichoya, Aimilia Gastounioti, Imon Banerjee, Laleh Seyyed-Kalantari, Minjae Woo, Hari Trivedi
Performance Gaps of Artificial Intelligence Models Screening Mammography - Towards Fair and Interpretable Models. CoRR (2023)
Vineela Nalla, Seyedamin Pouriyeh, Reza M. Parizi, InChan Hwang, Beatrice Brown-Mulry, Linglin Zhang, Minjae Woo
Influence of Convolutional Neural Network Depth on the Efficacy of Automated Breast Cancer Screening Systems. ISCC (2023)
Jiwoong Jason Jeong, Brianna L. Vey, Ananth Reddy Bhimireddy, Thomas Kim, Thiago Santos, Ramon Correa, Raman Dutt, Marina Mosunjac, Gabriela Oprea-Ilies, Geoffrey Smith, Minjae Woo, Christopher R. McAdams, Mary S. Newell, Imon Banerjee, Judy Gichoya, Hari Trivedi
The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms. CoRR (2022)