Langarica S., Lee N., Alkhadrawi A., Kim Y., Ha S., Do S., Lin L. (2026)

A Deep Learning Framework for Predicting Teprotumumab Treatment Response in Thyroid Eye Disease

Ophthalmology Science 6 4

Kim H., Kim Y., Langarica S., Fialkowski K., Seah J., Tang J., Song K., Jung D., Bae K., Cochran R., Succi M., McDermott S., Bahl M., Ackman J., Lev M., Gee M., Do S. (2026)

League of Radiologists-an End-to-End AI Framework for Scalable and Gamified Radiology Education: A Pilot Implementation in Chest Radiography

Journal of Imaging Informatics in Medicine

Kim H., Kim Y., Langarica S., Fialkowski K., Seah J., Tang J., Song K., Jung D., Bae K., Cochran R., Succi M., McDermott S., Bahl M., Ackman J., Lev M., Gee M., Do S. (2026)

League of Radiologists-an End-to-End AI Framework for Scalable and Gamified Radiology Education: A Pilot Implementation in Chest Radiography (apr, 10.1007/s10278-026-01960-w, 2026)

Journal of Imaging Informatics in Medicine

Bahl M., Langarica S., Lamb L., Kniss A., Do S. (2025)

AI to Reduce the Interval Cancer Rate of Screening Digital Breast Tomosynthesis

RADIOLOGY 316 1

Alkhadrawi A., Pena-Trujillo V., Gallo-Bernal S., Gee M., Cobos C., Kim K., Langarica S., Kim Y., Victoria T., Do S. (2025)

ARANet: Adaptive Resolution Attention Network for Precise MRI-Based Segmentation and Quantification of Fetal Size and Amniotic Fluid Volume

Journal of Imaging Informatics in Medicine

Langarica S., Kim Y., Alkhadrawi A., Kim J., Do S. (2025)

MINERVA-microbiome network research and visualization atlas: a scalable knowledge graph for mapping microbiome-disease associations

BRIEFINGS IN BIOINFORMATICS 26 5