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Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models
Convolutional neural networks are showing promise in the automatic diagn...
04/04/2021 ∙ by Ashkan Khakzar, et al. ∙
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Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features
Neural networks have demonstrated remarkable performance in classificati...
04/01/2021 ∙ by Ashkan Khakzar, et al. ∙
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Neural Response Interpretation through the Lens of Critical Pathways
Is critical input information encoded in specific sparse pathways within...
03/31/2021 ∙ by Ashkan Khakzar, et al. ∙
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Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs
Chest computed tomography (CT) has played an essential diagnostic role i...
03/12/2021 ∙ by Seong Tae Kim, et al. ∙
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Rethinking Positive Aggregation and Propagation of Gradients in Gradient-based Saliency Methods
Saliency methods interpret the prediction of a neural network by showing...
12/01/2020 ∙ by Ashkan Khakzar, et al. ∙
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Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation
Segmentation of Multiple Sclerosis (MS) lesions in longitudinal brain MR...
04/07/2020 ∙ by Stefan Denner, et al. ∙
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Explaining Neural Networks via Perturbing Important Learned Features
Attributing the output of a neural network to the contribution of given ...
11/25/2019 ∙ by Ashkan Khakzar, et al. ∙
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Learning Interpretable Features via Adversarially Robust Optimization
Neural networks are proven to be remarkably successful for classificatio...
05/09/2019 ∙ by Ashkan Khakzar, et al. ∙
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