Imran Razzak

A single system autonomously discovers causal biomedical mechanisms, tests them against millions of participant records, and generates interpretable predictive models that evolve with new evidence.

Forget choosing just one vision encoder – fusing CLIP and DINO representations unlocks a significant performance boost in vision-language tasks.

Achieve state-of-the-art video polyp segmentation by adaptively selecting informative reference frames and aggregating multi-scale historical features with causal attention.