
The author's main thesis is that Image2Flow, a hybrid neural network, can efficiently segment pulmonary arteries and estimate flow fields from 3D cardiac MRI data. The approach combines image and graph convolutional networks to achieve rapid and accurate results.


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Image2Flow-Hybrid-Neural-Network-for-Pulmonary-Artery-Segmentation-and-CFD


Image2Flow: Hybrid Neural Network for Pulmonary Artery Segmentation and CFD


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Image2Flow enables rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data, revolutionizing clinical hemodynamic evaluation.


image2flow-efficient-pulmonary-artery-segmentation-and-cfd-calculation


Image2Flow: Efficient Pulmonary Artery Segmentation and CFD Calculation



Image2Flow enables rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data.
