構造的磁気共鳴画像を用いた脳年齢の予測:一般に利用可能なソフトウェアパッケージの臨床的有用性の比較

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Updated: Jan 7, 2026

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
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Ruben P Dörfel1, Brice Ozenne2, Melanie Ganz3

  • 1Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Sweden; Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Denmark; Department of Computer Science, University of Copenhagen, Denmark.

EBioMedicine
|January 3, 2026
PubMed
まとめ

No abstract available in PubMed .

キーワード:
バイオマーカー脳の年齢臨床的有用性機械学習予測された年齢偏差構造MRI

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Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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