Mahalanobis distance tractometry (MaD-Tract) – a framework for personalized white matter anomaly detection applied to TBI
Summary
Mahalanobis distance tractometry (MaD-Tract) – a framework for personalized white matter anomaly detection applied to TBI is a scholarly article[1].
Key Facts
Mahalanobis distance tractometry (MaD-Tract) – a framework for personalized white matter anomaly detection applied to TBI's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Mahalanobis distance tractometry (MaD-Tract) – a framework for personalized white matter anomaly detection applied to TBI. Retrieved May 24, 2026, from https://4ort.xyz/entity/mahalanobis-distance-tractometry-mad-tract-a-framework-for-personalized-white-matter-anomaly-detection-applied-to-tbi
MLA“Mahalanobis distance tractometry (MaD-Tract) – a framework for personalized white matter anomaly detection applied to TBI.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mahalanobis-distance-tractometry-mad-tract-a-framework-for-personalized-white-matter-anomaly-detection-applied-to-tbi.
BibTeX@misc{4ortxyz_mahalanobis-distance-tractometry-mad-tract-a-framework-for-personalized-white-matter-anomaly-detection-applied-to-tbi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mahalanobis distance tractometry (MaD-Tract) – a framework for personalized white matter anomaly detection applied to TBI}}, year = {2026}, url = {https://4ort.xyz/entity/mahalanobis-distance-tractometry-mad-tract-a-framework-for-personalized-white-matter-anomaly-detection-applied-to-tbi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mahalanobis distance tractometry (MaD-Tract) – a framework for personalized white matter anomaly detection applied to TBI — https://4ort.xyz/entity/mahalanobis-distance-tractometry-mad-tract-a-framework-for-personalized-white-matter-anomaly-detection-applied-to-tbi (retrieved 2026-05-24)