Explainability is a key requirement for computer-aided diagnosis systems...
Deep learning models used in medical image analysis are prone to raising...
Do black-box neural network models learn clinically relevant features fo...
Chest radiograph reporting is time-consuming, and numerous solutions to
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It is a mystery which input features contribute to a neural network's ou...
One principal approach for illuminating a black-box neural network is fe...
Convolutional neural networks are showing promise in the automatic diagn...
Neural networks have demonstrated remarkable performance in classificati...
Is critical input information encoded in specific sparse pathways within...
Chest computed tomography (CT) has played an essential diagnostic role i...
Saliency methods interpret the prediction of a neural network by showing...
Segmentation of Multiple Sclerosis (MS) lesions in longitudinal brain MR...
Attributing the output of a neural network to the contribution of given ...
Neural networks are proven to be remarkably successful for classificatio...