A highly accurate but overconfident model is ill-suited for deployment i...
Deep neural networks (DNN) have achieved unprecedented performance in
co...
Model explainability is essential for the creation of trustworthy Machin...
Purpose
To develop and evaluate a deep learning (DL) approach to extract...
Vessel segmenting is an essential task in many clinical applications.
Al...
We propose a BlackBox Counterfactual Explainer that is explicitly
develo...
As machine learning methods see greater adoption and implementation in h...
We propose an attention-based method that aggregates local image feature...