Click-based interactive image segmentation aims at extracting objects wi...
Many contrastive representation learning methods learn a single global
r...
Deep learning models struggle with compositional generalization, i.e. th...
Registration of images with pathologies is challenging due to tissue
app...
While successful for various computer vision tasks, deep neural networks...
We introduce a fluid-based image augmentation method for medical image
a...
Deep convolutional neural networks (CNNs) are state-of-the-art for seman...
We introduce an end-to-end deep-learning framework for 3D medical image
...