65 citations · 160 across the 35 of their papers we have counts for
3 papers · 1 filter
Attention-based Dynamic Subspace Learners for Medical Image Analysis
Sukesh Adiga, Jose Dolz, Herve Lombaert
Learning similarity is a key aspect in medical image analysis, particularly in recommendation systems or in uncovering the interpretation of anatomical data in images. Most existin…
Test-Time Adaptation with Shape Moments for Image Segmentation
Mathilde Bateson, Hervé Lombaert, Ismail Ben Ayed
Supervised learning is well-known to fail at generalization under distribution shifts. In typical clinical settings, the source data is inaccessible and the target distribution is…
Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation
Sukesh Adiga, Jose Dolz, Herve Lombaert
Semi-supervised segmentation tackles the scarcity of annotations by leveraging unlabeled data with a small amount of labeled data. A prominent way to utilize the unlabeled data is…