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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…
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…
eess.IV2021★ 1 cited
Studying the Effects of Self-Attention for Medical Image Analysis
Adrit Rao, Jongchan Park, Sanghyun Woo +2
When the trained physician interprets medical images, they understand the clinical importance of visual features. By applying cognitive attention, they apply greater focus onto cli…