Rajpurkar, Pranav

14 publications

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

CHIL 2025 HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation Julian Nicolas Acosta, Xiaoman Zhang, Siddhant Dogra, Hong-Yu Zhou, Seyedmehdi Payabvash, Guido J. Falcone, Eric Karl Oermann, Pranav Rajpurkar

MLHC 2025 State-of-the-Art Text-Prompted Medical Segmentation Models Struggle to Ground Chest CT Findings Mohammed Baharoon, Luyang Luo, Michael Moritz, Abhinav Kumar, Sung Eun Kim, Xiaoman Zhang, Miao Zhu, Kent Kleinschmidt, Sri Sai Dinesh Jaliparthi, Sathvik Suryadevara, Rithvik Akula, Mark Marino, Wenhui Lei, Ibrahim Ethem Hamamci, Pranav Rajpurkar

CHIL 2025 Uncovering Knowledge Gaps in Radiology Report Generation Models Through Knowledge Graphs Xiaoman Zhang, Julian Nicolas Acosta, Hong-Yu Zhou, Pranav Rajpurkar

MLHC 2024 Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation Oishi Banerjee, Hong-Yu Zhou, Kay Wu, Subathra Adithan, Stephen Kwak, Pranav Rajpurkar

MLHC 2024 FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores Alyssa Huang, Oishi Banerjee, Kay Wu, Eduardo Pontes Reis, Pranav Rajpurkar

MLHC 2024 MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting Arnold Caleb Asiimwe, Didac Suris Coll-Vinent, Pranav Rajpurkar, Carl Vondrick

MIDL 2023 MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning Damir Vrabac, Akshay Smit, Yujie He, Andrew Y. Ng, Andrew L. Beam, Pranav Rajpurkar

NeurIPS 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 Reisler, David E Kim, Pranav Rajpurkar

MLHC 2023 RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction Sameer Khanna, Adam Dejl, Kibo Yoon, Steven QH Truong, Hanh Duong, Agustina Saenz, Pranav Rajpurkar

NeurIPSW 2022 Improving Dermatology Classifiers Across Populations Using Images Generated by Large Diffusion Models Luke William Sagers, James Allen Diao, Matthew Groh, Pranav Rajpurkar, Adewole Adamson, Arjun Kumar Manrai

MLHC 2021 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 MedAug: Contrastive Learning Leveraging Patient Metadata Improves Representations for Chest X-Ray Interpretation Yen Nhi Truong Vu, Richard Wang, Niranjan Balachandar, Can Liu, Andrew Y. Ng, Pranav Rajpurkar

AAAI 2019 CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Christopher Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng