A novel hierarchically-structured factor mixture model for cluster discovery from multi-modality data. - Bing Si; Todd J. Schwedt; Catherine D. Chong; Teresa Wu; Jing Li (IISE Trans., 2021)

HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease. - Md Mahfuzur Rahman Siddiquee; Jay Shah; Teresa Wu; Catherine D. Chong; Todd J. Schwedt; Baoxin Li (SASHIMI@MICCAI, 2022)

Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media. - Yuting Guo; Swati Rajwal; Sahithi Lakamana; Chia-Chun Chiang; Paul C. Menell; Adnan H. Shahid; Yi-Chieh Chen; Nikita Chhabra; Wan-Ju Chao; Chieh-Ju Chao; Todd J. Schwedt; Imon Banerjee; et al. (CoRR, 2022)

Multi-modal Predictive Model for MACE Risk Estimation in Patients with Migraine. - Amara Tariq; Oana M. Dumitrascu; Man Luo; Gina Dumkrieger; Todd J. Schwedt; Catherine D. Chong; Imon Banerjee (ICHI, 2024)

Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images. - Md Mahfuzur Rahman Siddiquee; Jay Shah; Teresa Wu; Catherine D. Chong; Todd J. Schwedt; Gina Dumkrieger; Simona Nikolova; Baoxin Li (WACV, 2024)