Jimin Kim

Real-world multimetric comparison of four commercial artificial intelligence solutions for intracranial hemorrhage detection

Jimin Kim, H Lee, Jin Eun, Sanghyuk Im et autres

To evaluate the real-world multimetric performance of four commercially available computed tomography (CT)-based artificial intelligence (AI) solutions for acute intracranial hemorrhage (AIH). METHODSPatients who underwent non-contrast brain CT for suspected AIH in our emergency room between February and March 2024 were screened.After …

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Perivascular space volume measurement at the inferior basal ganglia on cranial ultrasound in neonates: associations with germinal matrix hemorrhage and brain maturation

Se Won Oh, Arum Choi, Dayeon Bak, Jimin Kim et autres

PURPOSE: The aim of this study was to assess the feasibility of cranial ultrasound (CUS)-based perivascular space (PVS) volume quantification in neonates, evaluate its relationship with magnetic resonance imaging (MRI)-based PVS volume measurements, explore associations with germinal matrix hemorrhage (GMH), and examine …

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Efficacy of MRI-based deep learning algorithm for detecting acute ischemic stroke: evaluation among diverse readers

Jimin Kim, Se Won Oh, Ha Young Lee, Sheen‐Woo Lee et autres

kr, us, de (code pays fourni par la source)

Multi-Task Detection and Classification of Encrypted Traffic Sequences via Session2Token Embedding

Yoon-Seong Jang, Jimin Kim, Ui-Jun Baek, Yangseo Choi et autres

The widespread adoption and advancement of encryption protocols have significantly reduced the visibility of network traffic. Consequently, a range of deep learning-based malicious traffic classification studies have actively employed input units such as packets, bursts, and sessions for detection and classification tasks. …

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Impact of a computed tomography-based artificial intelligence software on radiologists’ workflow for detecting acute intracranial hemorrhage

Jimin Kim, Jinhee Jang, Se Won Oh, Ha Young Lee et autres

To assess the impact of a commercially available computed tomography (CT)-based artificial intelligence (AI) software for detecting acute intracranial hemorrhage (AIH) on radiologists' diagnostic performance and workflow in a real-world clinical setting. METHODSThis retrospective study included a total of 956 non-contrast brain …

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Association of hypoxic-ischemic injury with MRI-derived glymphatic function markers in neonates: analysis of perivascular space volume and diffusion-tensor imaging

Arum Choi, Jimin Kim, Se Won Oh, Yoonho Nam et autres

Abstract Objective To evaluate the relationship between hypoxic-ischemic injury (HII) and glymphatic function in neonates using two imaging biomarkers—basal ganglia perivascular space (BG-PVS) volume and diffusion-tensor imaging along the perivascular space (DTI-ALPS)—and to explore their interconnection. Methods This retrospective single-institution study collected …

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Amyloid-Related Imaging Abnormalities in Anti-Amyloid Monoclonal Antibody Therapy for Alzheimer’s Disease: Expert Recommendation for Standard MRI Protocol

Jimin Kim, Eunhee Kim, Mina Park, Yun Jung Bae et autres

), which was recently approved in Korea, necessitates careful monitoring for amyloid-related imaging abnormalities (ARIA) using brain MRI. To optimize ARIA monitoring in Korean clinical settings, the Korean Society of Neuroradiology (KSNR) and the Age and Neurodegeneration Imaging (ANDI) Study Group proposed …

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Association of Hypoxic-Ischemic Injury of the Brain With MRI-Derived Glymphatic Function Parameters in Neonates

Arum Choi, Jimin Kim, Se Won Oh, Yoonho Nam et autres

Objective: To evaluate the association between hypoxic-ischemic injury (HII) of the brain and glymphatic function using MRI-derived parameters in neonates.Materials and Methods: This retrospective, single-institution study collected brain MRI scans of 127 neonates between July 2020 and July 2022.The volume and fraction …

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Exploratory Non-Inferiority Validation of an East Asian-Based MRI Brain Volumetric Software

Jimin Kim, Ha Young Lee, Hye Weon Kim, ZunHyan Rieu et autres

Purpose: Accurate measurement of brain volume using structural magnetic resonance imaging (MRI) is crucial for diagnosing and monitoring of Alzheimer's disease.This study aimed to clinically validate a new MRI-based brain volumetric software (the study software) against a widely used and validated reference …

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Assessment of Deep Learning-Based Triage Application for Acute Ischemic Stroke on Brain MRI in the ER

Jimin Kim, Ha Young Lee, Moon Hyung Choi, Heiko Meyer et autres

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Cross-Domain Denoising for Low-Dose Multi-Frame Spiral Computed Tomography

Yucheng Lu, Zhixin Xu, Moon Hyung Choi, Jimin Kim et autres

Computed tomography (CT) has been used worldwide as a non-invasive test to assist in diagnosis. However, the ionizing nature of X-ray exposure raises concerns about potential health risks such as cancer. The desire for lower radiation doses has driven researchers to improve …

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3D MR fingerprinting-derived myelin water fraction characterizing brain development and leukodystrophy

Hyun Gi Kim, Dongyeob Han, Jimin Kim, Jeong‐Sun Choi et autres

Abstract Background Magnetic resonance fingerprinting (MRF) enables fast myelin quantification via the myelin water fraction (MWF), offering a noninvasive method to assess brain development and disease. However, MRF-derived MWF lacks histological evaluation and remains unexamined in relation to leukodystrophy. This study aimed …

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