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10/21/2022
Augmentation by Counterfactual Explanation – Fixing an Overconfident Classifier
A highly accurate but overconfident model is ill-suited for deployment i...
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09/07/2022
Deep Learning for Medical Imaging From Diagnosis Prediction to its Counterfactual Explanation
Deep neural networks (DNN) have achieved unprecedented performance in co...
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07/10/2021
Using Causal Analysis for Conceptual Deep Learning Explanation
Model explainability is essential for the creation of trustworthy Machin...
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01/14/2021
Improving Clinical Disease Sub‐typing and Future Events Prediction through a Chest CT based Deep Learning Approach
Purpose To develop and evaluate a deep learning (DL) approach to extract...
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01/13/2021
Self-Supervised Vessel Enhancement Using Flow-Based Consistencies
Vessel segmenting is an essential task in many clinical applications. Al...
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01/11/2021
Explaining the Black-box Smoothly- A Counterfactual Approach
We propose a BlackBox Counterfactual Explainer that is explicitly develo...
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11/01/2019
Explanation by Progressive Exaggeration
As machine learning methods see greater adoption and implementation in h...
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06/28/2018
