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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...
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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...
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10/15/2021
Single volume lung biomechanics from chest computed tomography using a mode preserving generative adversarial network
Local tissue expansion of the lungs is typically derived by registering ...
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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...
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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...
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08/27/2019
