Thomas Mortier

Evaluation of out-of-distribution detection methods for data shifts in single-cell transcriptomics

This study evaluates out-of-distribution detection methods for identifying novel cell types and data shifts in single-cell transcriptomics using synthetic and real datasets.

Uncertainty-aware single-cell annotation with a hierarchical reject option

This paper evaluates rejection strategies in single-cell annotation, finding partial rejection in hierarchical classifiers improves reliability without losing label information.