5 citations · 6 across the 4 of their papers we have counts for
4 papers
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…
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…
The Path to a Modular and Standards-based Digital Health Ecosystem
Paul Schmiedmayer, Vishnu Ravi, Oliver Aalami
Software engineering for digital health applications entails several challenges, including heterogeneous data acquisition, data standardization, software reuse, security, and priva…
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…