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Synthetic CT generation from CBCT and MRI using StarGAN in the Pelvic Region
Published 2025-02-01“…Abstract Rationale and objectives This study evaluated StarGAN, a deep learning model designed to generate synthetic computed tomography (sCT) images from magnetic resonance imaging (MRI) and cone-beam computed tomography (CBCT) data using a single model. …”
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An Overview: PM2.5 Concentration Levels in Urban Residential Buildings during the Past Two Decades
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Lipoic acid-boronophenylalanine-derived multifunctional vesicles for cancer chemoradiotherapy
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Delving into biomarkers and predictive modeling for CVD mortality: a 20-year cohort study
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An automated adaptive trading system for enhanced performance of emerging market portfolios
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Reactivatable stimulated emission depletion microscopy using fluorescence-recoverable nanographene
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