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Publications

neuroPublication

Infant Brain Age Estimation With T1w/T2w Ratio MRI: A Myelination- Aware Deep Learning Approach

Hyeryn Park, Young Hun Choi, Sung-Min Gho

JMRI

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neuroConference Abstracts

Topology-Aware Automated Report Generation for Intracranial Aneurysm Diagnosis using 3D TOF-MRA

Kwanseok Oh, Burnyoung Kim, Dahye Lee, Sung-Min Gho

KoSAIM 2025

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neuroConference Abstracts

Deep Learning with Anatomical Guidance for Enhanced Cerebral Microbleeds Detection and Localization

Burnyoung Kim, Junho Kim, Donghyun Kim, Sung-Min Gho

KoSAIM 2025

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neuroResearch Activities

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

European Radiology

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neuroResearch Activities

RA-RRG: Multimodal Retrieval-Augmented Radiology Report Generation with Key Phrase Extraction

Jonggwon Park, Byungmu Yoon, Soobum Kim, Kyoyun Choi

ACL 2026

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neuroConference Abstracts

SA-AVAE: A sex-Aware adversarial variational autoencoder network for biological brain age estimation in IoMT-Enabled multimodal neuroimages

Abd Ur Rehman, Azka Rehman, Muhammad Umar Farooq, Taehyun Lee, Tariq M. Khan, Imran Razzak, Sung-Min Gho, Aleum Lee, Dong-Kyu Chae, Muhammad Usman

ECR 2026

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neuroConference Abstracts

Deep learning assistance improves clinician performance in detecting cerebral aneurysms on MRA

Gung Jung, Jiwon Lee, Hyunji Kim, Sung-Min Gho, Youngjun Yim, Jae-Bum Lee, Taek-Kyun Nam, Chul-Yong Park, Kwon-Yong Park

ECR 2026

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neuroConference Abstracts

Fine-tuned Segment Anything Model for Automatic Intracranial Aneurysm Segmentation in TOF-MRA: ​ Comparison with Non-Radiologist Physicians​

Juyeon Yi, Dahye Lee, Honggeun Cho, Kwanseok Oh, Bumcheol Hwang, Joon Young Kim, Minjin Song, Doo Young Lee, Jin Wook Choi, Hyun S. Choi

RSNA 2025

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neuroConference Abstracts

A Circle of Willis-Guided Cerebral Artery Segmentation Model for Intracranial Aneurysm Localization on Brain Magnetic Resonance Angiography

Kwanseok Oh, Dahye Lee, Yun Heung Kim, Burnyoung Kim, Hyun Seok Choi, Jinwook Choi

KCR 2025

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neuroConference Abstracts

AUTOMATED INTRACRANIAL ANEURYSM SEGMENTATION IN TIME-OFFLIGHT MR ANGIOGRAPHY USING A FINE-TUNED SEGMENT ANYTHING MODEL: COMPARISON WITH NON-RADIOLOGIST PHYSICIANS

Juyeon Yi, Dahye Lee, Hong Geun Cho, Kwanseok Oh, Jin Wook Choi, Hyun Seok Choi

KCR 2025

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neuroConference Abstracts

Advanced AI Model for Predicting NMIBC Recurrence: Integrating Cystoscopy Images and EMR Data

JUYOUNG LEE, Se Young Choi, Yong Seong Lee, Gucheol Jung

KCR 2025

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neuroConference Abstracts

Multimodal Retrieval-Augmented Radiology Reporting_Diagnostic Comparisons of Single- and Multi-View LLMs

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neuroConference Abstracts

Infant Brain Age Estimation Using Deep Learning on Myelin-Sensitive T1w/T2w Ratio Images

Author: Hyeryn Park, Chamgmin Ryu, Dong-Hyun Kim, Hyun Seok Choi, Sung-Min Gho

KCR 2025

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neuroConference Abstracts

Anatomical Brain Segmentation for False Positive Reduction and Localization in Automated Detection of Cerebral Microbleeds on Susceptibility-Weighted Imaging

Burnyoung Kim, Sung-Min Gho, Jun-Ho Kim, Dong-Hyun Kim

ESNR 2025

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neuroConference Abstracts

Development of proton-density magnetic resonance angiography using deep-learning models as new cerebral angiography for the evaluation of intracranial aneurysms: Preliminary study

Eunseon Jeong, Yun-Heung Kim, Seung Chai Jung, Sung-Min Gho, Hye Hyeon Moon, Yun Hwa Roh, Yunsun Song, Keum Mi Choi, BA

ESNR 2025

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neuroConference Abstracts

Biologically Informed Brain Age Estimation in Infants Using T1w/T2w Ratio Imaging and Anatomical Priors

Hyeryn Park, Hyun Seok Choi, Sung-Min Gho

ESNR 2025

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neuroConference Abstracts

Ehancing Robustness in Aneurysm Segmentation Across Variable Sizes via ContextAware Semantic Augmentation

Kwanseok Oh, Yunheung Kim, Burnyoung Kim, Dahye Lee, Hyunseok Choi, and Jin Wook Choi

ESNR 2025

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neuroConference Abstracts

Anatomy-Aware Segmentation of Cerebral Arteries for Automated Intracranial Aneurysm Localization on 3D Time-of-Flight Magnetic Resonance Angiography

Kwanseok Oh, Dahye Lee, Yunheung Kim, Burnyoung Kim, Hyunseok Choi, and Jin Wook Cho

ESNR 2025

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neuroConference Abstracts

Topology-Aware Report Generation for Intracranial Aneurysm Diagnosis in 3D TOF-MRA

Kwanseok Oh, Burnyoung Kim, Dahye Lee, and Sung-Min Gho

ESNR 2025

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neuroConference Abstracts

A Deep Learning based Harmonic Field Extension in SMWI with Reduced Spatial Coverage

Siyun Jung, Sung-Min Gho, Soohyun Jeon, and Dong-Hyun Kim

ISMRM 2025

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neuroConference Abstracts

Complex Swin Transformer for Accelerating Enhanced SMWI Reconstruction

ISMRM 2025

Muhammad Usman and Sung-Min Gho

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neuroConference Abstracts

Linear Fusion-Based Dual-MR Contrast Enhancement for Improved Choroid Plexus Segmentation

Kwanseok Oh, Dahye Lee, Intae Shin, and Sung-Min Gho

ISMRM 2025

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neuroPublication

Unsupervised learning for motion correction and assessment in brain magnetic resonance imaging using severity-based regularized cycle consistency

Seuk Kim, Mohammed A. Al-masni, Seul Lee, Sunyoung Jung, Kyu-Jin Jung, Chuanjiang Cui, Sung-Min Gho, Young Hun Choi, Dong-Hyun Kim

Eng. Appl. Artif. Intell

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neuroPublication

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, and Seung-Koo Lee

Yonsei Med J 2021

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neuroPublication

Deep Learning–Based Software Improves Clinicians’ Detection Sensitivity of Aneurysms on Brain TOF-MRA

B. Sohn, K.-Y. Park, J. Choi, J.H. Koo, K. Han, B. Joo, S.Y, Won, J. Cha, H.S. Choi and S.-K. Lee

AJNR Am J Neuroradiol 2021

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