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03/13/2023
Revisiting model self-interpretability in a decision-theoretic way for binary medical image classification
Interpretability is highly desired for deep neural network-based classif...
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01/26/2021
Uncertainty aware and explainable diagnosis of retinal disease
Deep learning methods for ophthalmic diagnosis have shown considerable s...
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05/28/2020
Explainable deep learning models in medical image analysis
Deep learning methods have been very effective for a variety of medical ...
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04/15/2020
From Speech to Recital – A case of phase transition? A non-linear study
A question has been whirling in the musical fraternity for generations. ...
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12/09/2018
