Author

Yasin Ibrahim

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#artificial intelligence Preprint Sep 2026

To do($x$) or not to do($x$): Medical Image Counterfactuals for Dataset Augmentation

Three conditioning strategies are compared and it is demonstrated that using a causal approach to synthetic training data generation can lead to tangible benefits, with insights offering valuable guidance to machine learning practitioners for the effective design of data generation protocols.

Yasin Ibrahim, R. Evans, K. Kamnitsas · 0 citations

#artificial intelligence Preprint Sep 2026

Counterfactual Marginalisation: Framework for Evaluating Robustness to Nuisance Variables

This work proposes counterfactual (CF) marginalisation as a test-time evaluation procedure for assessing robustness of classification models to such variables and demonstrates this framework's utility for quantitative robustness evaluation.

Yasin Ibrahim, Hermione Warr, R. Evans et al. · 0 citations