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Image2Flow: A proof-of-concept hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data
Image2Flow: A proof-of-concept hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data
Summary
Image2Flow: A proof-of-concept hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data is a scholarly article[1].
Key Facts
Image2Flow: A proof-of-concept hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Image2Flow: A proof-of-concept hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data. Retrieved May 24, 2026, from https://4ort.xyz/entity/image2flow-a-proof-of-concept-hybrid-image-and-graph-convolutional-neural-network-for-rapid-patient-specific-pulmonary-a
MLA“Image2Flow: A proof-of-concept hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/image2flow-a-proof-of-concept-hybrid-image-and-graph-convolutional-neural-network-for-rapid-patient-specific-pulmonary-a.
BibTeX@misc{4ortxyz_image2flow-a-proof-of-concept-hybrid-image-and-graph-convolutional-neural-network-for-rapid-patient-specific-pulmonary-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Image2Flow: A proof-of-concept hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data}}, year = {2026}, url = {https://4ort.xyz/entity/image2flow-a-proof-of-concept-hybrid-image-and-graph-convolutional-neural-network-for-rapid-patient-specific-pulmonary-a}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Image2Flow: A proof-of-concept hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data — https://4ort.xyz/entity/image2flow-a-proof-of-concept-hybrid-image-and-graph-convolutional-neural-network-for-rapid-patient-specific-pulmonary-a (retrieved 2026-05-24)
