research
∙
07/27/2023
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images
This paper introduces vox2vec - a contrastive method for self-supervised...
share
research
∙
07/18/2021
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation
Domain shift is one of the most salient challenges in medical computer v...
research
∙
07/20/2020
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation
Target imbalance affects the performance of recent deep learning methods...
research
∙
06/02/2020
CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint Identification and Severity Quantification
The current COVID-19 pandemic overloads healthcare systems, including ra...
research
∙
08/10/2018
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms
We present a method for metric optimization in the Large Deformation Dif...
research
∙
08/10/2018
