Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition

M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography.- Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge.- A Data-Centric Approach for Segmenting the Aortic Vessel Tree: A Solution to SEG.A. Challenge 2023 Segmentation Task.- Automatic Aorta Segmentation with Heavily Augmented, High-Resolution 3-D ResUNet: Contribution to the SEG.A Challenge.- Position-encoded pixel-to-prototype contrastive learning for aortic vessel tree segmentation.- Misclassification Loss for Segmentation of the Aortic Vessel Tree.- Deep Learning-based segmentation and mesh reconstruction of the Aortic Vessel Tree from CTA images.- RASNet: U-Net-based Robust Aortic Segmentation Network For Multicenter Datasets.- Optimizing Aortic Segmentation with an Innovative Quality Assessment: The Role of Global Sensitivity Analysis.- A mini tutorial on mesh generation of blood vessels for CFD applications.

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• Engenharia electrónica
• Tecnologia da informação: aspectos gerais
• Processamento de imagens
• Pesquisa e estatística social
• Equipamentos e tecnologia educacional, computer-aided learning (CAL)

multicenter;segmentation;shape modelling;visualization;meshing aorta;CTA;artificial intelligence;sensitivity analysis