5 citations · 5 across the 3 of their papers we have counts for
3 papers
eess.IV2024
IMIL: Interactive Medical Image Learning Framework
Adrit Rao, Andrea Fisher, Ken Chang +4
Data augmentations are widely used in training medical image deep learning models to increase the diversity and size of sparse datasets. However, commonly used augmentation techniq…
cs.CY2024★ 5 cited
LLM on FHIR -- Demystifying Health Records
Paul Schmiedmayer, Adrit Rao, Philipp Zagar +4
Objective: To enhance health literacy and accessibility of health information for a diverse patient population by developing a patient-centered artificial intelligence (AI) solutio…
eess.IV2023
Studying the Impact of Augmentations on Medical Confidence Calibration
Adrit Rao, Joon-Young Lee, Oliver Aalami
The clinical explainability of convolutional neural networks (CNN) heavily relies on the joint interpretation of a model's predicted diagnostic label and associated confidence. A h…