eqANR · JCJC
EQUR-XSM

ANR JCJC · MEDICAL IMAGING AI

Quantifying
uncertainty.
Explaining AI.

EQUR-XSM investigates how to make medical-image predictions and their visual explanations more reliable through evidential learning and uncertainty modelling.

PROJECT NEWS

Latest from EQUR-XSM

ACCEPTED PAPER · EXPLAINS 2026

Localisation and faithfulness are distinct evaluation targets.

Our brain-tumour MRI case study examines what explanation regularisation improves—and what it does not establish.

Read the findings and view the figure →

UPCOMING PRESENTATION

Amrin Akter at EXPLAINS 2026

28–30 October 2026 · Angers, France.

See event details →