Shramana Dey

Wavelet decomposition offers a surprisingly effective way to disentangle anatomical structure from domain-specific noise in fundus images, leading to state-of-the-art generalization performance.

Stop hand-labeling lesion regions: this method uses contrastive learning and patch embeddings to automatically expand sparse annotations in diabetic retinopathy images, boosting downstream classification performance.