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Deep learning approach to super-resolution correction of brain MRI motion artifacts for accurate hippocampal

Nobukiyo Yoshida1,2, Hajime Kageyama2, Hiroyuki Akai2

  • 1Department of Radiological Technology, Faculty of Medical Technology, Niigata University of Health and Welfare, 1398 Shimamicho, Kita-ku, Niigata City, Niigata, 950-3198, Japan.

Scientific Reports
|March 23, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Deep learningEnhanced deep super-resolution networkHippocampal volumeMotion artifact correctionVoxel-based morphometry

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