DAFTED - Decoupled Asymmetric Fusion of Tabular and Echocardiographic Data for Cardiac Hypertension Diagnosis
In this study, we propose a fusion strategy based on an asymmetric scheme.
Jérémie Stym-Popper
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Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification
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 …
Extraction of Volumetric Indices from Echocardiography: Which Deep Learning Solution for Clinical Use?
We propose a comprehensive comparison between the current best performing methods in medical/echocardiographic image segmentation, with a particular focus on temporal consistency …
Hang Jung Ling
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1 min readOn the effectiveness of GAN generated cardiac MRIs for segmentation
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 …
Youssef Skandarani
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1 min readCardiac MRI Segmentation with Strong Anatomical Guarantees
In this paper, we propose a cardiac MRI segmentation method which always produces anatomically plausible results.