Jinyoung Kim
Seoul, Republic of Korea
Last Updated: 09/26/2026
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Found 10 publications
Deep Learning-Based Brainstem Segmentation and Multi-Class Classification for Parkinsonian Syndrome.
Deep Learning-Based Brainstem Segmentation and Multi-Class Classification for Parkinsonian Syndrome.
Journal: Journal of magnetic resonance imaging : JMRI
Published: September 04, 2025
COSINE-100 full dataset challenges the annual modulation signal of DAMA/LIBRA.
Journal: Science advances
Published: September 03, 2025
Development and validation of a deep learning-based automatic segmentation and classification of cerebral white matter hyperintensities.
Journal: European radiology
Published: May 13, 2025
Automated Idiopathic Normal Pressure Hydrocephalus Diagnosis via Artificial Intelligence-Based 3D T1 MRI Volumetric Analysis.
Journal: AJNR. American journal of neuroradiology
Published: March 08, 2024
Corrigendum: Development and validation of a deep learning-based automatic segmentation model for assessing intracranial volume: comparison with NeuroQuant, FreeSurfer, and SynthSeg.
Journal: Frontiers in neurology
Published: November 08, 2023
Deep learning-based, fully automated, pediatric brain segmentation.
Journal: Scientific reports
Published: July 24, 2023
Development and validation of a deep learning-based automatic segmentation model for assessing intracranial volume: comparison with NeuroQuant, FreeSurfer, and SynthSeg.
Journal: Frontiers in neurology
Published: May 13, 2023
An induced annual modulation signature in COSINE-100 data by DAMA/LIBRA's analysis method.
Journal: Scientific reports
Published: November 09, 2022
Development and validation of an automatic classification algorithm for the diagnosis of Alzheimer's disease using a high-performance interpretable deep learning network.
Journal: European radiology
Published: July 12, 2022
Neural stem cells secrete factors facilitating brain regeneration upon constitutive Raf-Erk activation.
Journal: Scientific reports
Published: February 15, 2016
Showing 1-10 of 10
Last Updated: 09/26/2026