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Retrieving Evidence from EHRs with LLMs: Possibilities and Challenges., , , , , , and . CoRR, (2023)Query-Focused EHR Summarization to Aid Imaging Diagnosis., , , , , and . MLHC, volume 126 of Proceedings of Machine Learning Research, page 632-659. PMLR, (2020)That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data., , , and . EMNLP, page 3626-3648. Association for Computational Linguistics, (2022)CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models., , , and . EMNLP (Findings), page 8477-8494. Association for Computational Linguistics, (2023)Files : law and media technology, and . Stanford University Press, Stanford, Calif., (2008)A new framework of designing iterative techniques for image deblurring., , , , and . Pattern Recognit., (2022)Towards Reducing Diagnostic Errors with Interpretable Risk Prediction., , , , , , and . CoRR, (2024)Deformation invariant attribute vector for 3D image registration: method and validation., , , , and . ISBI, page 442-445. IEEE, (2006)76-Space Analysis of Grey Matter Diffusivity: Methods and Applications., , , , and . MICCAI, volume 3749 of Lecture Notes in Computer Science, page 148-155. Springer, (2005)A quasi-conformal mapping-based data augmentation technique for brain tumor segmentation., , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113132P. SPIE, (2020)