Causality: fundamental principles and tools (Book chapter)
Published in MICCAI/Elsevier book series, 2024
This chapter is part of the collection Trustworthy AI in Medical Imaging. Its goal is to provide a gentle introduction to Causal Learning (CL), and motivation for its application to medical image analysis, seeking for more robustness against data and domain drifts, and a reliable tool to answer conterfactuals questions and get improved interpretability. The probabilistic formalism at the basis of CL are itroduced, along with basic definitions and assumptions.
Recommended citation: Balelli, I., Al-Ali, S., Dumas, E., Abecassis, J. (2024). Causality: fundamental principles and tools. In Trustworthy AI in Medical Imaging. MICCAI/Elsevier book series (in press).