A Deep Learning Segmentation Pipeline for Cardiac T1 Mapping Using MRI Relaxation–based Synthetic Contrast Augmentation

Research article (Radiology Artificial Intelligence, 2022) · cited 14× · AI/ML
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A Deep Learning Segmentation Pipeline for Cardiac T1 Mapping Using MRI Relaxation–based Synthetic Contrast Augmentation

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A Deep Learning Segmentation Pipeline for Cardiac T1 Mapping Using MRI Relaxation–based Synthetic Contrast Augmentation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Deep Learning Segmentation Pipeline for Cardiac T1 Mapping Using MRI Relaxation–based Synthetic Contrast Augmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-learning-segmentation-pipeline-for-cardiac-t1-mapping-using-mri-relaxationbased-synthetic-contrast-augmentation
MLA “A Deep Learning Segmentation Pipeline for Cardiac T1 Mapping Using MRI Relaxation–based Synthetic Contrast Augmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-learning-segmentation-pipeline-for-cardiac-t1-mapping-using-mri-relaxationbased-synthetic-contrast-augmentation.
BibTeX @misc{4ortxyz_a-deep-learning-segmentation-pipeline-for-cardiac-t1-mapping-using-mri-relaxationbased-synthetic-contrast-augmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Deep Learning Segmentation Pipeline for Cardiac T1 Mapping Using MRI Relaxation–based Synthetic Contrast Augmentation}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-learning-segmentation-pipeline-for-cardiac-t1-mapping-using-mri-relaxationbased-synthetic-contrast-augmentation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Deep Learning Segmentation Pipeline for Cardiac T1 Mapping Using MRI Relaxation–based Synthetic Contrast Augmentation — https://4ort.xyz/entity/a-deep-learning-segmentation-pipeline-for-cardiac-t1-mapping-using-mri-relaxationbased-synthetic-contrast-augmentation (retrieved 2026-05-24)

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