Drawing on novel transformer models applied to tabular data (e.g. variables from electronic health records), we propose a method that considers descriptors extracted from medical …
We propose a comprehensive comparison between the current best performing methods in medical/echocardiographic image segmentation, with a particular focus on temporal consistency …
In this work, we propose a Variational Autoencoder (VAE) - Generative Adversarial Networks (GAN) model that can produce highly realistic MRI together with its pixel accurate …
In this paper, we propose a cardiac MRI segmentation method which always produces anatomically plausible results.