CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays. - Emma Chen; Andy Kim; Rayan Krishnan; Jin Long; Andrew Y. Ng; Pranav Rajpurkar (MLHC, 2021)

Improving hospital readmission prediction using individualized utility analysis. - Michael Ko; Emma Chen; Ashwin Agrawal; Pranav Rajpurkar; Anand Avati; Andrew Yan-Tak Ng; Sanjay Basu; Nigam H. Shah (J. Biomed. Informatics, 2021)

Real-time Detection of Acute Lymphoblastic Leukemia Cells Using Deep Learning. - Emma Chen; Rory Liao; Mikhail Y. Shalaginov; Tingying Helen Zeng (BIBM, 2022)

Machine Learning Sensors. - Pete Warden; Matthew Stewart; Brian Plancher; Colby R. Banbury; Shvetank Prakash; Emma Chen; Zain Asgar; Sachin Katti; Vijay Janapa Reddi (CoRR, 2022)

Deep Learning Classification of Caries Based on DNA Sequences Transformed by Chaos Game Representation. - Corey Zhao; Emma Chen; Tsute Chen (BIBM, 2023)

Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine. - Emma Chen; Aman Kansal; Julie Chen; Boyang Tom Jin; Julia Rachel Reisler; David A. Kim; Pranav Rajpurkar (NeurIPS, 2023)

Classification of Periodontal and Health Oral Samples Using Deep Learning. - Jasmine Gu; Emma Chen; Tingying Helen Zeng; Tsute Chen (BIBM, 2024)

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models. - Alice Heiman; Xiaoman Zhang; Emma Chen; Sung Eun Kim; Pranav Rajpurkar (CVPR, 2025)