Home ›
Entities
› academia
› Temporal Feature Extraction from DCE-MRI to Identify Poorly Perfused Subvolumes of Tumors Related to Outcomes of Radiation Therapy in Head and Neck Cancer
Temporal Feature Extraction from DCE-MRI to Identify Poorly Perfused Subvolumes of Tumors Related to Outcomes of Radiation Therapy in Head and Neck Cancer
Research article (Tomography, 2016) · cited 10× · AI/ML
Temporal Feature Extraction from DCE-MRI to Identify Poorly Perfused Subvolumes of Tumors Related to Outcomes of Radiation Therapy in Head and Neck Cancer
Summary
Temporal Feature Extraction from DCE-MRI to Identify Poorly Perfused Subvolumes of Tumors Related to Outcomes of Radiation Therapy in Head and Neck Cancer is a scholarly article[1].
Key Facts
Temporal Feature Extraction from DCE-MRI to Identify Poorly Perfused Subvolumes of Tumors Related to Outcomes of Radiation Therapy in Head and Neck Cancer's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Temporal Feature Extraction from DCE-MRI to Identify Poorly Perfused Subvolumes of Tumors Related to Outcomes of Radiation Therapy in Head and Neck Cancer. Retrieved May 24, 2026, from https://4ort.xyz/entity/temporal-feature-extraction-from-dce-mri-to-identify-poorly-perfused-subvolumes-of-tumors-related-to-outcomes-of-radiati
MLA“Temporal Feature Extraction from DCE-MRI to Identify Poorly Perfused Subvolumes of Tumors Related to Outcomes of Radiation Therapy in Head and Neck Cancer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/temporal-feature-extraction-from-dce-mri-to-identify-poorly-perfused-subvolumes-of-tumors-related-to-outcomes-of-radiati.
BibTeX@misc{4ortxyz_temporal-feature-extraction-from-dce-mri-to-identify-poorly-perfused-subvolumes-of-tumors-related-to-outcomes-of-radiati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Temporal Feature Extraction from DCE-MRI to Identify Poorly Perfused Subvolumes of Tumors Related to Outcomes of Radiation Therapy in Head and Neck Cancer}}, year = {2026}, url = {https://4ort.xyz/entity/temporal-feature-extraction-from-dce-mri-to-identify-poorly-perfused-subvolumes-of-tumors-related-to-outcomes-of-radiati}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Temporal Feature Extraction from DCE-MRI to Identify Poorly Perfused Subvolumes of Tumors Related to Outcomes of Radiation Therapy in Head and Neck Cancer — https://4ort.xyz/entity/temporal-feature-extraction-from-dce-mri-to-identify-poorly-perfused-subvolumes-of-tumors-related-to-outcomes-of-radiati (retrieved 2026-05-24)