Pulmonary Embolism Risk Stratification from CTPA and Medical Records: Vascular Graphs Are Not All You Need
We benchmark different approaches to combine medical records and cardiac biomarkers with rich pulmonary vascular information.
We benchmark different approaches to combine medical records and cardiac biomarkers with rich pulmonary vascular information.
In this study, we propose a fusion strategy based on an asymmetric scheme.
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.