Minjae Woo

According to our database, Minjae Woo authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Class Probability-guided Ensemble Learning-based Semantic Segmentation to Predict Cancerous Regions on Hematoxylin and Eosin-stained Images.

Sanghoon Lee, Sai Chandana Koganti, InChan Hwang, Minjae Woo

Proceedings of the 18th IEEE International Conference on Semantic Computing, 2024

2023

Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors.

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

CoRR, 2023

Image Compression and Decompression Framework Based on Latent Diffusion Model for Breast Mammography.

InChan Hwang, Minjae Woo

CoRR, 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

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

Proceedings of the IEEE Symposium on Computers and Communications, 2023

2022

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, Mary S. Newell, Imon Banerjee, Judy Gichoya, Hari Trivedi

CoRR, 2022