4 papers · 1 filter
Compositional Segmentation of Cardiac Images Leveraging Metadata
Abbas Khan, Muhammad Asad, Martin Benning +2
Cardiac image segmentation is essential for automated cardiac function assessment and monitoring of changes in cardiac structures over time. Inspired by coarse-to-fine approaches i…
CAMS: Convolution and Attention-Free Mamba-based Cardiac Image Segmentation
Abbas Khan, Muhammad Asad, Martin Benning +2
Convolutional Neural Networks (CNNs) and Transformer-based self-attention models have become the standard for medical image segmentation. This paper demonstrates that convolution a…
Multi-view Cardiac Image Segmentation via Trans-Dimensional Priors
Abbas Khan, Muhammad Asad, Martin Benning +2
We propose a novel multi-stage trans-dimensional architecture for multi-view cardiac image segmentation. Our method exploits the relationship between long-axis (2D) and short-axis…
Crop and Couple: cardiac image segmentation using interlinked specialist networks
Abbas Khan, Muhammad Asad, Martin Benning +2
Diagnosis of cardiovascular disease using automated methods often relies on the critical task of cardiac image segmentation. We propose a novel strategy that performs segmentation…