Todd J. Schwedt

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 6

Top Topics

Quantitative Evaluation

Natural Language Processing

Anatomical Structures

Top Venues

Publications

Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine D. Chong, Todd J. Schwedt, Gina Dumkrieger, Simona Nikolova, Baoxin Li
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images. WACV (2024)
Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine D. Chong, Todd J. Schwedt, Gina Dumkrieger, Simona Nikolova, Baoxin Li
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images. CoRR (2023)
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, Abeed Sarker
Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media. CoRR (2022)
Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine D. Chong, Todd J. Schwedt, Baoxin Li
HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease. SASHIMI@MICCAI (2022)
Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine D. Chong, Todd J. Schwedt, Baoxin Li
HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease. CoRR (2022)
Bing Si, Todd J. Schwedt, Catherine D. Chong, Teresa Wu, Jing Li
A novel hierarchically-structured factor mixture model for cluster discovery from multi-modality data. IISE Trans. 53 (7) (2021)