| 2025 | ACL | LADDER: Language-Driven Slice Discovery and Error Rectification in Vision Classifiers. | Shantanu Ghosh, Rayan Syed, Chenyu Wang, Vaibhav Choudhary, Binxu Li, Clare B. Poynton, Shyam Visweswaran, Kayhan Batmanghelich |
| 2025 | NAACL | Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation. | Chenyu Wang, Weichao Zhou, Shantanu Ghosh, Kayhan Batmanghelich, Wenchao Li |
| 2024 | MICCAI | Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography. | Shantanu Ghosh, Clare B. Poynton, Shyam Visweswaran, Kayhan Batmanghelich |
| 2023 | ICML | Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat. | Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich |
| 2023 | MICCAI | Distilling BlackBox to Interpretable Models for Efficient Transfer Learning. | Shantanu Ghosh, Ke Yu, Kayhan Batmanghelich |
| 2022 | AMIA | DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation. | Shantanu Ghosh, Zheng Feng, Jiang Bian, Kevin Butler, Mattia Prosperi |
| 2022 | MICCAI | Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays. | Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Kayhan Batmanghelich |