13 citations · 18 across the 7 of their papers we have counts for
3 papers · 1 filter
Using Causal Analysis for Conceptual Deep Learning Explanation
Sumedha Singla, Stephen Wallace, Sofia Triantafillou +1
Model explainability is essential for the creation of trustworthy Machine Learning models in healthcare. An ideal explanation resembles the decision-making process of a domain expe…
Self-Supervised Vessel Enhancement Using Flow-Based Consistencies
Rohit Jena, Sumedha Singla, Kayhan Batmanghelich
Vessel segmentation is an essential task in many clinical applications. Although supervised methods have achieved state-of-art performance, acquiring expert annotation is laborious…
Explaining the Black-box Smoothly- A Counterfactual Approach
Sumedha Singla, Motahhare Eslami, Brian Pollack +2
We propose a BlackBox Counterfactual Explainer, designed to explain image classification models for medical applications. Classical approaches (e.g., saliency maps) that assess fea…