Ender Konukoglu

Sparse annotations can yield results nearly indistinguishable from dense ones, with SA-VIS achieving over 1% improvement in AP on state-of-the-art benchmarks.

Trustworthy super-resolution in surgery is now achievable, with a model-agnostic method that identifies and mitigates unreliable reconstructions in real-time.

Slap pseudo-labels on your unlabeled medical images and cut your annotation budget in half when adapting vision-language models.