Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6

Research article (Neuroinformatics, 2015) · cited 21× · AI/ML
Press Enter · cited answer in seconds

Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6

Summary

Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6 is a scholarly article[1].

Key Facts

  • Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6. Retrieved May 24, 2026, from https://4ort.xyz/entity/segmentation-of-the-cerebellar-peduncles-using-a-random-forest-classifier-and-a-multi-object-geometric-deformable-model-
MLA “Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/segmentation-of-the-cerebellar-peduncles-using-a-random-forest-classifier-and-a-multi-object-geometric-deformable-model-.
BibTeX @misc{4ortxyz_segmentation-of-the-cerebellar-peduncles-using-a-random-forest-classifier-and-a-multi-object-geometric-deformable-model-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6}}, year = {2026}, url = {https://4ort.xyz/entity/segmentation-of-the-cerebellar-peduncles-using-a-random-forest-classifier-and-a-multi-object-geometric-deformable-model-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6 — https://4ort.xyz/entity/segmentation-of-the-cerebellar-peduncles-using-a-random-forest-classifier-and-a-multi-object-geometric-deformable-model- (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/segmentation-of-the-cerebellar-peduncles-using-a-random-forest-classifier-and-a-multi-object-geometric-deformable-model- · Last refreshed: