A Mini Guide on Mesh Generation of Blood Vessels for CFD Applications

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Bibliographische Detailangaben
Veröffentlicht in:	Segmentation of the Aorta (Veranstaltung : 2023 : Vancouver, British Columbia) Segmentation of the aorta
1. Verfasser:	Bošnjak, Domagoj (VerfasserIn)
Weitere Verfasser:	Fries, Thomas-Peter (VerfasserIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2024
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Titel	Jahr	Verfasser
A Data-Centric Approach for Segmenting the Aortic Vessel Tree: A Solution to SEG.A. Challenge 2023 Segmentation Task	2024	El-Ghotni, Ayman
Position-Encoded Pixel-to-Prototype Contrastive Learning for Aortic Vessel Tree Segmentation	2024	Kim, Hyeongyu
Misclassification Loss for Segmentation of the Aortic Vessel Tree	2024	Khan, Abbas
Aortic Segmentations and Their Possible Clinical Benefits	2024	Mayer, Christian
Deep Learning-Based Segmentation and Mesh Reconstruction of the Aortic Vessel Tree from CTA Images	2024	Vagenas, Theodoros Panagiotis
RASNet: U-Net-Based Robust Aortic Segmentation Network for Multicenter Datasets	2024	Zhang, Jihan
Optimizing Aortic Segmentation with an Innovative Quality Assessment: The Role of Global Sensitivity Analysis	2024	Melito, Gian Marco
A Mini Guide on Mesh Generation of Blood Vessels for CFD Applications	2024	Bošnjak, Domagoj
M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography	2024	Byeon, Yunsu
Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge	2024	Myronenko, Andriy
Automatic Aorta Segmentation with Heavily Augmented, High-Resolution 3-D ResUNet: Contribution to the SEG.A Challenge	2024	Wodzinski, Marek