Search Results for author:
Found 2 papers, 2 papers with code
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation
Motivated by atlas-based segmentation, we propose a novel volumetric self-supervised learning for data augmentation capable of synthesizing volumetric image-segmentation pairs via learning transformations from a single labeled atlas to the unlabeled data.
Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation
We present a novel approach for image-to-image translation in medical images, capable of supervised or unsupervised (unpaired image data) setups.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
