2be327d4a9a3289f1c655d285e768f99 pmc_34321995.pdf b98900906532602af650d298cca946c032554d8f pmc_34321995.pdf af01953eff7ceb72105895c215fcbe55321d3d6070c61aad9a5dff787aaffae6 pmc_34321995.pdf Title: MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical Phenotypes Subject: Objective: Neuroimaging measurements of brain structural integrity are thought to be surrogates for brain health, but precise assessments require dedicated advanced image acquisitions. Keywords: stroke, cerebrovascular disease (CVD), MRI, radiomics, machine learning, brain health Author: Martin Bretzner Creator: LaTeX with hyperref package Producer: pdfTeX-1.40.16 CreationDate: Mon Jul 12 11:56:33 2021 CEST ModDate: Mon Jul 12 12:17:38 2021 CEST Custom Metadata: yes Metadata Stream: yes Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 11 Encrypted: no Page size: 595.276 x 779.528 pts Page rot: 0 File size: 918779 bytes Optimized: no PDF version: 1.6 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- DRVWOZ+MinionPro-Regular Type 1 Custom yes yes no 25 0 JBTFWO+HelveticaNeueLTStd-Bd Type 1 Custom yes yes no 26 0 YPUJGK+HelveticaNeueLTStd-Lt Type 1 Custom yes yes no 27 0 CCVXXJ+HelveticaNeueLTStd-BdIt Type 1 Custom yes yes no 32 0 RQJKRN+HelveticaNeueLTStd-LtIt Type 1 Custom yes yes no 33 0 BZWOGY+HelveticaNeueLTStd-MdIt Type 1 Custom yes yes no 34 0 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Learning Approach to Build the Radiomic Signature of the WMH Item: Title: Understanding the Textural Footprint of Clinical Phenotypes Item: Title: Code Availability Item: Title: Results Children: Item: Title: Population Item: Title: Building the Latent Radiomic Signature of the WMH Burden Item: Title: Clinical Phenotypes Captured by Radiomics Item: Title: Discussion Children: Item: Title: Limitations and Future Directions Item: Title: Conclusion Item: Title: Data Availability Statement Item: Title: Ethics Statement Item: Title: Author Contributions Item: Title: Funding Item: Title: Acknowledgments Item: Title: Supplementary Material Item: Title: References Filters: FilterPipeline: FlateDecode Fonts: Type1: Font: BaseFont: CCVXXJ+HelveticaNeueLTStd-BdIt FontSubset: true FirstChar: 42 LastChar: 121 FontDescriptor: FontName: CCVXXJ+HelveticaNeueLTStd-BdIt Flags: Symbolic FontBBox: -166, -218, 1129, 975 FontFile: true EncodingDictionary: Differences: true Font: BaseFont: 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Differences: true XMP: stroke, cerebrovascular disease (CVD), MRI, radiomics, machine learning, brain health pdfTeX-1.40.16 1.5 application/pdf fnins-15-691244.tex MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical Phenotypes Objective: Neuroimaging measurements of brain structural integrity are thought to be surrogates for brain health, but precise assessments require dedicated advanced image acquisitions. 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