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Bo Kyu Kim

Korea University · Medicine

About the Lab

Professor Bo Kyu Kim's research lab specializes in advanced neuroimaging techniques and artificial intelligence applications in cerebrovascular disease. The lab focuses on optimizing MRI sequences—such as DWI, PETRA-MRA, and time-resolved MRA—for improved diagnosis and follow-up of intracranial aneurysms and acute ischemic stroke. A key research direction involves leveraging deep learning, including CycleGAN and DNN-based reconstruction, to enhance image quality and enable synthetic imaging for faster, more accurate stroke assessment. The lab also investigates quantitative imaging biomarkers, such as infarct volume on CTP, to predict clinical outcomes after endovascular thrombectomy.

neuroimagingstrokeartificial intelligenceMRAacute ischemic stroke

Research Overview

Papers
20
Total Citations
123
Papers (5y)
11
Primary Field
Medicine

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
11total
2022
2023
2024
2025
2026
Citations per year (5y)
45total
20222023202420252026

Selected Papers

15
1
Article|19 citations·2018
MR Imaging for Differentiating Contrast Staining from Hemorrhagic Transformation after Endovascular Thrombectomy in Acute Ischemic Stroke: Phantom and Patient Study
Sung‐Hye You, Byungjun Kim, Bo Kyu Kim, Sang‐il Suh
SJR Q1American Journal of NeuroradiologyOA

According to our preliminary results, contrast staining might be differentiated from hemorrhagic transformation using an immediate postinterventional DWI protocol including gradient recalled-echo sequences. It might be possible to expedite establishment of postinterventional medical treatment strategy.

EpidemiologyMedicine
2
Article|18 citations·2020
Ultrashort Echo Time Magnetic Resonance Angiography in Follow-up of Intracranial Aneurysms Treated With Endovascular Coiling: Comparison of Time-of-Flight, Pointwise Encoding Time Reduction With Radial Acquisition, and Contrast-Enhanced Magnetic Resonance Angiography
Sung‐Hye You, Byungjun Kim, Byungjun Kim, Kyung‐Sook Yang, Bo Kyu Kim, Bo Kyu Kim, Jaeil Ryu
SJR Q1Neurosurgery

BACKGROUND: The optimal magnetic resonance angiography (MRA) sequence for assessing the aneurysm occlusion state or in-stent flow after endovascular coiling is not well established. OBJECTIVE: To evaluate the diagnostic performance of pointwise encoding time reduction with radial acquisition (PETRA)-MRA in patients who underwent endovascular coiling relative to that of time-of-flight (TOF)-MRA and contrast-enhanced (CE)-MRA. METHODS: We evaluated the aneurysm occlusion state using digital subtra

NeurologyMedicine
3
Article|18 citations·2021
Development and validation of visual grading system for stenosis in intracranial atherosclerotic disease on time-of-flight magnetic resonance angiography
Sung‐Hye You, Byungjun Kim, Kyung‐Sook Yang, Bo Kyu Kim, Seungtae Woo, Sang Eun Park, Seungtae Woo, Sang Eun Park
SJR Q1European Radiology
Pulmonary and Respiratory MedicineMedicine
4
Article|17 citations·2019
Cervical necrotic lymphadenopathy: a diagnostic tree analysis model based on CT and clinical findings
Sung‐Hye You, Byungjun Kim, Kyung‐Sook Yang, Bo Kyu Kim, Bo Kyu Kim, Bo Kyu Kim
SJR Q1European Radiology
SurgeryMedicine
5
Article|11 citations·2022
Synthetic Time of Flight Magnetic Resonance Angiography Generation Model Based on Cycle‐Consistent Generative Adversarial Network Using PETRA‐MRA in the Patients With Treated Intracranial Aneurysm
Sung‐Hye You, Yongwon Cho, Byungjun Kim, Byungjun Kim, Kyung‐Sook Yang, Bo Kyu Kim, Bo Kyu Kim, Sang Eun Park
SJR Q1Journal of Magnetic Resonance Imaging

BACKGROUND: Pointwise encoding time reduction with radial acquisition (PETRA) magnetic resonance angiography (MRA) is useful for evaluating intracranial aneurysm recurrence, but the problem of severe background noise and low peripheral signal-to-noise ratio (SNR) remain. Deep learning could reduce noise using high- and low-quality images. PURPOSE: To develop a cycle-consistent generative adversarial network (cycleGAN)-based deep learning model to generate synthetic TOF (synTOF) using PETRA. STUD

NeurologyMedicine
6
Article|8 citations·2024
Synthetic temporal bone CT generation from UTE-MRI using a cycleGAN-based deep learning model: advancing beyond CT-MR imaging fusion
Sung‐Hye You, Yongwon Cho, Byungjun Kim, Jeeho Kim, Gi Jung Im, Euyhyun Park, In Seong Kim, Kyung Min Kim, Bo Kyu Kim, Bo Kyu Kim, Bo Kyu Kim
SJR Q1European Radiology
EpidemiologyMedicine
7
Article|7 citations·2024
Bright diffusion sign: A sensitive and specific radiologic biomarker for multinodular and vacuolating neuronal tumor
Arim Pak, Hye Jeong Choi, Sung‐Hye You, Kyung‐Sook Yang, Byungjun Kim, Sue-Hee Choi, Sang Heum Kim, Jung Youn Kim, Bo Kyu Kim, Sang Eun Park, Inseon Ryoo, Hye Na Jung
SJR Q1Journal of Neuroradiology
GeneticsMedicine
8
Article|6 citations·2023
Deep Learning–Based Synthetic TOF-MRA Generation Using Time-Resolved MRA in Fast Stroke Imaging
Sung‐Hye You, Yongwon Cho, Byungjun Kim, Kyung‐Sook Yang, In Seong Kim, Bo Kyu Kim, Arim Pak, Sang Eun Park
SJR Q1American Journal of NeuroradiologyOA

A CycleGAN-based deep learning model was developed to generate synthetic TOF from time-resolved MRA. Synthetic TOF can potentially assist in the detection of large-vessel occlusion in stroke centers using time-resolved MRA.

EpidemiologyMedicine
9
Article|5 citations·2024
Deep Learning-Based High-Resolution Magnetic Resonance Angiography (MRA) Generation Model for 4D Time-Resolved Angiography with Interleaved Stochastic Trajectories (TWIST) MRA in Fast Stroke Imaging
Bo Kyu Kim, Sung‐Hye You, Byungjun Kim, Jae Ho Shin
SJR Q2DiagnosticsOA

Purpose: The purpose of this study is to improve the qualitative and quantitative image quality of the time-resolved angiography with interleaved stochastic trajectories technique (4D-TWIST-MRA) using deep neural network (DNN)-based MR image reconstruction software. Materials and Methods: A total of 520 consecutive patients underwent 4D-TWIST-MRA for ischemic stroke or intracranial vessel stenosis evaluation. Four-dimensional DNN-reconstructed MRA (4D-DNR) was generated using commercially availa

Radiology, Nuclear Medicine and ImagingMedicine
10
Article|4 citations·2021
Transient global amnesia: Signal alteration in 2D/3D T2-FLAIR sequences
Sung‐Hye You, Byungjun Kim, Bo Kyu Kim, Bo Kyu Kim, Bo Kyu Kim
SJR Q2Clinical Imaging
Cognitive NeuroscienceNeuroscience
11
Article|3 citations·2024
Technical Complications Associated with Embolic Protection Device During Carotid Artery Stenting: Incidence, Risk Factors, Clinical Implications, and Rescue Maneuvers
Bo Kyu Kim, Bo Kyu Kim, Byungjun Kim, Byungjun Kim, Sung‐Hye You, Inseon Ryoo, Hye Na Jung
SJR Q2DiagnosticsOA

Background/Objectives: This study aimed to evaluate the incidence, risk factors, clinical implications, and rescue maneuvers of technical complications related to embolic protection devices (EPDs) during carotid artery stenting (CAS). Materials and Methods: We retrospectively reviewed all patients who had undergone CAS with EPDs between April 2018 and March 2024. The incidence and types of technical complication associated with EPDs were assessed. Clinical, angiographical, and procedural factors

Pulmonary and Respiratory MedicineMedicine
12
Article|2 citations·2013
Triple Arterial Phase Hepatic MRI Using Four Dimensional T1-Weighted High Resolutions Imaging with Volume Excitation Keyhole Techniques: Feasibility and Initial Clinical Experience in Focal Liver Lesions
Bo Kyu Kim, Min Ju Kim, Beom Jin Park, Deuk Jae Sung, Sung Bum Cho
SJR Q4Journal of the Korean Society of RadiologyOA
EpidemiologyMedicine
13
Article|2 citations·2025
A novel early imaging biomarker for glymphatic function: Cerebral cortical arterial pulsatility index from 2-Minute phase-contrast MRI
Sung‐Hye You, Byungjun Kim, Moonjung Hwang, Kyung‐Sook Yang, Kyung-Sook Yang, In Seong Kim, S Y Kim, SuGil Kim, Bo Kyu Kim, Jae Ho Shin, Bo Kyu Kim, Jae Ho Shin
SJR Q1The Journal of Prevention of Alzheimer s DiseaseOA

Background Arterial pulsatility is one of the driving forces of glymphatic flow. Objectives To evaluate the feasibility of the pulsatility index (PI) of cortical arteries in the centrum semiovale (PI CSO ) as a novel non-invasive imaging biomarker for Alzheimer’s disease (AD) in the context of glymphatic function. Design Retrospective cross-sectional study. Setting Single tertiary academic center equipped with both 3.0 T MRI systems. Participants A total of 160 individuals were enrolled: 50 heal

Cellular and Molecular NeuroscienceNeuroscience
14
Article|2 citations·2025
Incidence, Potential Mechanisms, and Clinical Significance of Cavernous Sinus Air Sign
Bo Kyu Kim, Sung‐Hye You, Byungjun Kim
SJR Q2DiagnosticsOA

Background/Objectives: The cavernous sinus air sign, historically linked to trauma or venous sinus thrombosis, has recently been reported in association with retrograde venous air embolism, often without clinical significance. Despite this, its exact prevalence, etiology, and clinical relevance remain unclear. This study aims to systematically evaluate the incidence of the cavernous sinus air sign in patients undergoing CT angiography (CTA) and to assess its potential clinical implications. Meth

NeurologyMedicine
15
Article|1 citations·2024
Differentiation of Acute Internal Carotid Artery Occlusion Etiology on Computed Tomography Angiography: Diagnostic Tree for Preparing Endovascular Treatment
Bo Kyu Kim, Bo Kyu Kim, Byungjun Kim, Byungjun Kim, Sung‐Hye You
SJR Q2DiagnosticsOA

Background and Purpose: This study aimed to identify the imaging characteristics and discriminate the etiology of acute internal carotid artery occlusion (ICAO) on computed tomography angiography (CTA) in patients with acute ischemic stroke. Materials and Methods: We retrospectively evaluated consecutive patients who underwent endovascular thrombectomy for acute ICAO. Contrast filling of the extracranial ICA in preprocedural CTA was considered apparent ICAO. Non-contrast filling of the extracran

EpidemiologyMedicine

Research Areas

EpidemiologyNeurologyRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineSurgeryGenetics

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