Publications

Explainable AI for the Classification of Brain MRIs
ECAI 2025 Workshop on EXPLIMED

Nathan Blake, Hana Chockler, David A. Kelly, Santiago Calderón-Peña*, Akchunya Chanchal

We performed an analysis of explainable AI tools in a medical setting, demonstrating the significant advantages of ReX, a newly introduced tool at King's College London.

Real-time incremental explanations for object detectors
Under Review

Santiago Calderón-Peña*, Hana Chockler, David A. Kelly

Existing black box explainability tools for object detectors rely on multiple calls to the model, which prevents them from computing explanations in real time. In this paper we introduce IncX, an algorithm for real-time incremental approximations of explanations, based on linear transformations of saliency maps.

Explainable AI for the Classification of Brain MRIs ECAI 2025 Workshop on EXPLIMED

Real-time incremental explanations for object detectors Under Review

Explainable AI for the Classification of Brain MRIs
ECAI 2025 Workshop on EXPLIMED

Real-time incremental explanations for object detectors
Under Review