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Bi-O Ju

Yonsei University · 医学

研究室紹介

Professor Bi-O Ju's research lab specializes in advanced neuroimaging and artificial intelligence applications for neurological disorders, with a focus on improving diagnostic accuracy and understanding disease mechanisms. The lab develops and validates deep learning models for automated detection of intracranial aneurysms and brain metastases, leveraging MRI techniques such as TOF MRA and DCE-MRI. Key research directions include assessing tumor vascularity and permeability, characterizing meningeal lymphatic function in aging and disease, and exploring the clinical significance of necrosis in brain metastases. The lab integrates quantitative imaging biomarkers with machine learning to enhance early diagnosis and personalized treatment planning in neuro-oncology and neurodegenerative diseases.

neuroimagingdeep learningbrain metastasismeningeal lymphaticsDCE-MRI

Research Overview

Papers
45
Total Citations
513
Papers (5y)
34
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
34total
2022
2023
2024
2025
2026
Citations per year (5y)
162total
20222023202420252026

Selected Papers

15
1
Article|83 citations·2020
A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance
Bio Joo, Sung Soo Ahn, Pyeong Ho Yoon, Sohi Bae, Beomseok Sohn, Yong Eun Lee, Jun Ho Bae, Moo Sung Park, Hyun Seok Choi, Seung‐Koo Lee
SJR Q1European RadiologyOA
NeurologyMedicine
2
Article|80 citations·2019
Amide proton transfer imaging might predict survival and IDH mutation status in high-grade glioma
Bio Joo, Kyunghwa Han, Sung Soo Ahn, Yoon Seong Choi, Jong Hee Chang, Seok‐Gu Kang, Se Hoon Kim, Jinyuan Zhou, Seung‐Koo Lee
SJR Q1European RadiologyOA
Materials ChemistryMaterials Science
3
Article|56 citations·2017
Amide proton transfer imaging for differentiation of benign and atypical meningiomas
Bio Joo, Kyunghwa Han, Yoon Seong Choi, Seung‐Koo Lee, Sung Soo Ahn, Jong Hee Chang, Seok‐Gu Kang, Se Hoon Kim, Jinyuan Zhou
SJR Q1European RadiologyOA
EpidemiologyMedicine
4
Article|40 citations·2015
Pain Palliation in Patients with Bone Metastases Using Magnetic Resonance-Guided Focused Ultrasound with Conformal Bone System: A Preliminary Report
Bio Joo, Mi‐Suk Park, Soo Hyun Lee, Hye Jin Choi, Seung Tack Lim, Sun Young Rha, Itay Rachmilevitch, Young Han Lee, Jin‐Suck Suh
SJR Q2Yonsei Medical JournalOA

MRgFUS was demonstrated to be effective palliative treatment within 2 weeks in selected patients with painful bone metastases.

SurgeryMedicine
5
Article|29 citations·2022
Fully automated radiomics-based machine learning models for multiclass classification of single brain tumors: Glioblastoma, lymphoma, and metastasis
Bio Joo, Sung Soo Ahn, Chansik An, Kyunghwa Han, Dongmin Choi, Hwiyoung Kim, Ji Eun Park, Ho Sung Kim, Seung‐Koo Lee
SJR Q1Journal of NeuroradiologyOA
Radiology, Nuclear Medicine and ImagingMedicine
6
Article|26 citations·2021
Deep Learning–Based Software Improves Clinicians' Detection Sensitivity of Aneurysms on Brain TOF-MRA
Beomseok Sohn, Keun Young Park, Joung-Woo Choi, Ja Ho Koo, Kyunghwa Han, Bio Joo, So Yeon Won, Jihoon Cha, Hyun Seok Choi, Seung‐Koo Lee
SJR Q1American Journal of NeuroradiologyOA

Software-aided reading showed significant incremental value in the sensitivity of clinicians in the detection of aneurysms on MRA without a significant increase in false-positive findings, especially for the neurosurgeon and neurologist. Software-aided reading showed equivocal value for the radiologist.

NeurologyMedicine
7
Article|22 citations·2021
A Deep Learning Model with High Standalone Performance for Diagnosis of Unruptured Intracranial Aneurysm
Bio Joo, Hyun Seok Choi, Sung Soo Ahn, Jihoon Cha, So Yeon Won, Beomseok Sohn, Hwiyoung Kim, Kyunghwa Han, Hwa Pyung Kim, Jong Mun Choi, Sang Min Lee, Tae-Gyu Kim
SJR Q2Yonsei Medical JournalOA

The present deep learning model for automated detection of unruptured intracranial aneurysms on TOF MRA achieved the target diagnostic performance comparable to that of human radiologists. With high standalone performance, this model may be useful for accurate and efficient diagnosis of intracranial aneurysm.

NeurologyMedicine
8
Article|19 citations·2022
Dynamic Contrast-Enhanced MRI and Its Applications in Various Central Nervous System Diseases
Kuk Jin Kim, Mina Park, Bio Joo, Sung Jun Ahn, Sang Hyun Suh
SJR Q4Investigative Magnetic Resonance ImagingOA

Dynamic contrast-enhanced MRI (DCE-MRI) is a noninvasive imaging technique used to evaluate tissue vascularity/permeability features through consecutive imaging acquisitions after gadolinium-based contrast agent administration.Over the past several decades, techniques and protocols for DCE-MRI have evolved, leading to growing applications of DCE-MRI for different neurological disorders.Although most established applications of DCE-MRI are for studying tumors, an increasing number of studies have

Radiology, Nuclear Medicine and ImagingMedicine
9
Article|15 citations·2022
The Extent of Necrosis in Brain Metastases May Predict Subtypes of Primary Cancer and Overall Survival in Patients Receiving Craniotomy
Jihwan Yoo, Yoon Jin, Hun Ho Park, Mina Park, Bio Joo, Sang Hyun Suh, Sung Jun Ahn
SJR Q1CancersOA

Although necrosis is common in brain metastasis (BM), its biological and clinical significances remain unknown. We evaluated necrosis extent differences by primary cancer subtype and correlated BM necrosis to overall survival post-craniotomy. We analyzed 145 BMs of patients receiving craniotomy. Necrosis to tumor ratio (NTR) was measured. Patients were divided into two groups by NTR: BMs with sparse necrosis and with abundant necrosis. Clinical features were compared. To investigate factor relev

Pulmonary and Respiratory MedicineMedicine
10
Article|14 citations·2023
Assessment of Meningeal Lymphatics in the Parasagittal Dural Space: A Prospective Feasibility Study Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging
Bio Joo, Mina Park, Sung Jun Ahn, Sang Hyun Suh
SJR Q1Korean Journal of RadiologyOA

This study shows that the dynamic changes of meningeal lymphatic vessels in PSD can be assessed with DCE-MRI, and the results are different from those of the venous structures. Our finding that delayed wash-out was more pronounced in the PSD of older participants suggests that aging may disturb the meningeal lymphatic drainage.

Cellular and Molecular NeuroscienceNeuroscience
11
Article|13 citations·2016
Dynamic Contrast-Enhanced Magnetic Resonance Imaging as a Surrogate Biomarker for Bevacizumab in Colorectal Cancer Liver Metastasis: A Single-Arm, Exploratory Trial
Yeo-Eun Kim, Bio Joo, Mi‐Suk Park, Sang Joon Shin, Joong Bae Ahn, Myeong‐Jin Kim
SJR Q1Cancer Research and TreatmentOA

DCE-MRI parameters and CAFs are pharmacodynamic biomarkers of bevacizumab for CRCLM. In our study, change in K<sup>trans</sup> at 3 days after bevacizumab monotherapy was a favorable prognostic factor; however, the value of CAFs as a prognostic biomarker was not found.

HepatologyMedicine
12
Article|13 citations·2023
A Radiomics-Based Model for Potentially More Accurate Identification of Subtypes of Breast Cancer Brain Metastases
Seonghyeon Cho, Bio Joo, Mina Park, Sung Jun Ahn, Sang Hyun Suh, Yae Won Park, Sung Soo Ahn, Seung‐Koo Lee
SJR Q2Yonsei Medical JournalOA

Purpose: Breast cancer brain metastases (BCBM) may involve subtypes that differ from the primary breast cancer lesion.This study aimed to develop a radiomics-based model that utilizes preoperative brain MRI for multiclass classification of BCBM subtypes and to investigate whether the model offers better prediction accuracy than the assumption that primary lesions and their BCBMs would be of the same subtype (non-conversion model) in an external validation set. Materials and Methods:The training

Pulmonary and Respiratory MedicineMedicine
13
Article|11 citations·2023
Associated Factors of Spontaneous Hemorrhage in Brain Metastases in Patients with Lung Adenocarcinoma
Songsoo Kim, Seo-Young Lee, Mina Park, Bio Joo, Sang Hyun Suh, Sung Jun Ahn
SJR Q1CancersOA

Background: Hemorrhage in brain metastases (BMs) from lung cancer is common and associated with a poor prognosis. Research on associated factors of spontaneous hemorrhage in patients with BMs is limited. This study aimed to investigate the predictive risk factors for BM hemorrhage and assess whether hemorrhage affects patient survival. Methods: We retrospectively evaluated 159 BMs from 80 patients with lung adenocarcinoma from January 2017 to May 2022. Patients were classified into hemorrhagic a

Pulmonary and Respiratory MedicineMedicine
14
Article|10 citations·2021
Aggravation of Enlarged Perivascular Spaces in the Centrum Semiovale of Patients with Aneurysmal Subarachnoid Hemorrhage
Jina Kim, Bio Joo, Jin Woo Kim, Mina Park, Sung Jun Ahn, Sang Kyu Park, Sang Hyun Suh
SJR Q1Clinical NeuroradiologyOA
Cellular and Molecular NeuroscienceNeuroscience
15
Article|10 citations·2022
Delirium-related factors and their prognostic value in patients undergoing craniotomy for brain metastasis
Jihwan Yoo, Bio Joo, Juyeong Park, Hun Ho Park, Mina Park, Sung Jun Ahn, Sang Hyun Suh, Jae‐Jin Kim, Jooyoung Oh
SJR Q2Frontiers in NeurologyOA

Background Delirium is characterized by acute brain dysfunction. Although delirium significantly affects the quality of life of patients with brain metastases, little is known about delirium in patients who undergo craniotomy for brain metastases. This study aimed to identify the factors influencing the occurrence of delirium following craniotomy for brain metastases and determine its impact on patient prognosis. Method A total of 153 patients who underwent craniotomy for brain metastases betwee

Critical Care and Intensive Care MedicineMedicine

Research Areas

NeurologyPulmonary and Respiratory MedicineRadiology, Nuclear Medicine and ImagingCellular and Molecular NeuroscienceSurgeryEpidemiology

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