A conditional mesh-to-mesh GAN with local KNN and global graph branches predicts future thoracic aortic aneurysm shape and diameter more accurately than baseline mesh networks on a private longitudinal dataset.
Semi-supervised classification with graph convolutional networks,
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Multimodal Conditional MeshGAN for Personalized Aneurysm Growth Prediction
A conditional mesh-to-mesh GAN with local KNN and global graph branches predicts future thoracic aortic aneurysm shape and diameter more accurately than baseline mesh networks on a private longitudinal dataset.