research
∙
07/20/2022
Localization supervision of chest x-ray classifiers using label-specific eye-tracking annotation
Convolutional neural networks (CNNs) have been successfully applied to c...
share
research
∙
12/22/2021
Comparing radiologists' gaze and saliency maps generated by interpretability methods for chest x-rays
The interpretability of medical image analysis models is considered a ke...
research
∙
09/10/2020
Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent
Adversarial training, especially projected gradient descent (PGD), has b...
research
∙
07/04/2020
Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields
The high complexity of deep learning models is associated with the diffi...
research
∙
08/27/2019
