Impact of Concatenation of Digital Craniocaudal Mammography Images on a Deep-Learning Breast-Density Classifier Using Inception-V3 and ViT. - Conrad Testagrose; Vikash Gupta; Barbaros S. Erdal; Richard D. White; Robert W. Maxwell; Xudong Liu; Indika Kahanda; Sherif Elfayoumy; William Klostermeyer; Mutlu Demirer (BIBM, 2022)

Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3. - Conrad T. Testagrose; Vikash Gupta; Barbaros S. Erdal; Richard D. White; Robert W. Maxwell; Xudong Liu; Indika Kahanda; Sherif Elfayoumy; William Klostermeyer; Mutlu Demirer (BCB, 2023)

Comparative Study Between Vision Transformer and EfficientNet on Marsh Grass Classification. - Conrad Testagrose; Mehlam Shabbir; Braden Weaver; Xudong Liu (FLAIRS, 2023)

Patronizing and Condescending Language Detection. - Conrad Testagrose; Athlene V. Jones; Indika Kahanda (ICMLA, 2023)

Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. - Kendall Schmidt; Ben Bearce; Ken Chang; Laura Coombs; Keyvan Farahani; Marawan Elbatel; Kaouther Mouheb; Robert Marti; Ruipeng Zhang; Yao Zhang 010; Yanfeng Wang 001; Yaojun Hu; et al. (CoRR, 2024)

Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. - Kendall Schmidt; Benjamin Bearce; Ken Chang; Laura Coombs; Keyvan Farahani; Marawan Elbatel; Kaouther Mouheb; Robert Marti; Ruipeng Zhang; Ya Zhang 002; Yanfeng Wang 001; Yaojun Hu; et al. (Medical Image Anal., 2024)