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Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome

Research article (Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization, 2017) · cited 65× · AI/ML
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Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome

Summary

Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome is a scholarly article[1].

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  • Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-of-brain-lesion-patterns-and-user-defined-clinical-and-mri-features-for-predicting-conversion-to-multiple-
MLA “Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-of-brain-lesion-patterns-and-user-defined-clinical-and-mri-features-for-predicting-conversion-to-multiple-.
BibTeX @misc{4ortxyz_deep-learning-of-brain-lesion-patterns-and-user-defined-clinical-and-mri-features-for-predicting-conversion-to-multiple-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-of-brain-lesion-patterns-and-user-defined-clinical-and-mri-features-for-predicting-conversion-to-multiple-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome — https://4ort.xyz/entity/deep-learning-of-brain-lesion-patterns-and-user-defined-clinical-and-mri-features-for-predicting-conversion-to-multiple- (retrieved 2026-05-24)

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