FatSegNet: A fully automated deep learning pipeline for adipose tissue segmentation on abdominal dixon MRI

Research article (Magnetic Resonance in Medicine, 2019) · cited 89× · AI/ML
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FatSegNet: A fully automated deep learning pipeline for adipose tissue segmentation on abdominal dixon MRI

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FatSegNet: A fully automated deep learning pipeline for adipose tissue segmentation on abdominal dixon MRI is a scholarly article[1].

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  • FatSegNet: A fully automated deep learning pipeline for adipose tissue segmentation on abdominal dixon MRI's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). FatSegNet: A fully automated deep learning pipeline for adipose tissue segmentation on abdominal dixon MRI. Retrieved May 24, 2026, from https://4ort.xyz/entity/fatsegnet-a-fully-automated-deep-learning-pipeline-for-adipose-tissue-segmentation-on-abdominal-dixon-mri
MLA “FatSegNet: A fully automated deep learning pipeline for adipose tissue segmentation on abdominal dixon MRI.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fatsegnet-a-fully-automated-deep-learning-pipeline-for-adipose-tissue-segmentation-on-abdominal-dixon-mri.
BibTeX @misc{4ortxyz_fatsegnet-a-fully-automated-deep-learning-pipeline-for-adipose-tissue-segmentation-on-abdominal-dixon-mri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FatSegNet: A fully automated deep learning pipeline for adipose tissue segmentation on abdominal dixon MRI}}, year = {2026}, url = {https://4ort.xyz/entity/fatsegnet-a-fully-automated-deep-learning-pipeline-for-adipose-tissue-segmentation-on-abdominal-dixon-mri}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FatSegNet: A fully automated deep learning pipeline for adipose tissue segmentation on abdominal dixon MRI — https://4ort.xyz/entity/fatsegnet-a-fully-automated-deep-learning-pipeline-for-adipose-tissue-segmentation-on-abdominal-dixon-mri (retrieved 2026-05-24)

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