publications

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2022

    2021

    1. So you want to image myelin using MRI: an overview and practical guide for myelin water imaging
      Lee, Jongho, Hyun, Jae-Won, Lee, Jieun, Choi, Eun-Jung, Shin, Hyeong-Geol, Min, Kyeongseon, Nam, Yoonho, Kim, Ho Jin, and Oh, Se-Hong
      Journal of Magnetic Resonance Imaging 2021
    2. Radiomics may increase the prognostic value for survival in glioblastoma patients when combined with conventional clinical and genetic prognostic models
      Choi, Yangsean, Nam, Yoonho, Jang, Jinhee, Shin, Na-Young, Lee, Youn Soo, Ahn, Kook-Jin, Kim, Bum-soo, Park, Jae-Sung, Jeon, Sin-soo, and Hong, Yong Gil
      European Radiology 2021
    3. Comparison of susceptibility-weighted imaging and susceptibility map-weighted imaging for the diagnosis of Parkinsonism with nigral hyperintensity
      Bae, Yun Jung, Song, Yoo Sung, Choi, Byung Se, Kim, Jong-Min, Nam, Yoonho, and Kim, Jae Hyoung
      European Journal of Radiology 2021
    4. Fully Automatic Assessment of Background Parenchymal Enhancement on Breast MRI Using Machine-Learning Models
      Nam, Yoonho, Park, Ga Eun, Kang, Junghwa, and Kim, Sung Hun
      Journal of Magnetic Resonance Imaging 2021
    5. Determining the Degree of Dopaminergic Denervation Based on the Loss of Nigral Hyperintensity on SMWI in Parkinsonism
      Bae, YJ, Song, YS, Kim, J-M, Choi, BS, Nam, Y, Choi, J-H, Lee, WW, and Kim, JH
      American Journal of Neuroradiology 2021
    6. Automated assessment of the substantia nigra on susceptibility map-weighted imaging using deep convolutional neural networks for diagnosis of Idiopathic Parkinson’s disease
      Shin, Dong Hoon, Heo, Hwan, Song, Soohwa, Shin, Na-Young, Nam, Yoonho, Yoo, Sang-Won, Kim, Joong-Seok, Yoon, Jung Han, Lee, Seon Heui, Sung, Young Hee, and others,
      Parkinsonism & Related Disorders 2021
    7. Brain MRI radiomics analysis may predict poor psychomotor outcome in preterm neonates
      Shin, Youwon, Nam, Yoonho, Shin, Taehoon, Choi, Jin Wook, Lee, Jang Hoon, Jung, Da Eun, Lim, Jiseon, and Kim, Hyun Gi
      European Radiology 2021
    8. Development and validation of a radiomics model for differentiating bone islands and osteoblastic bone metastases at abdominal CT
      Hong, Ji Hyun, Jung, Joon-Yong, Jo, Aram, Nam, Yoonho, Pak, Seongyong, Lee, So-Yeon, Park, Hyerim, Lee, Seung Eun, and Kim, Sanghee
      Radiology 2021
    9. Accelerated multicontrast reconstruction for synthetic MRI using joint parallel imaging and variable splitting networks
      Ryu, Kanghyun, Lee, Jae-Hun, Nam, Yoonho, Gho, Sung-Min, Kim, Ho-Sung, and Kim, Dong-Hyun
      Medical Physics 2021
    10. Imaging the substantia nigra in Parkinson disease and other Parkinsonian syndromes
      Bae, Yun Jung, Kim, Jong-Min, Sohn, Chul-Ho, Choi, Ji-Hyun, Choi, Byung Se, Song, Yoo Sung, Nam, Yoonho, Cho, Se Jin, Jeon, Beomseok, and Kim, Jae Hyoung
      Radiology 2021
    11. Paradoxical paramagnetic calcifications in the globus pallidus: An ex vivo MR investigation and histological validation study
      Jang, Jinhee, Nam, Yoonho, Jung, Sung Won, Riew, Tae-Ryong, Kim, Sang Hyun, and Kim, In-Beom
      NMR in Biomedicine 2021
    12. Quad-Contrast Imaging: Simultaneous Acquisition of Four Contrast-Weighted Images (PD-Weighted, T₂-Weighted, PD-FLAIR and T₂-FLAIR Images) With Synthetic T₁-Weighted Image, T₁-and T₂-Maps
      Ji, Sooyeon, Jeong, Jinhee, Oh, Se-Hong, Nam, Yoonho, Choi, Seung Hong, Shin, Hyeong-Geol, Shin, Dongmyung, Jung, Woojin, and Lee, Jongho
      IEEE Transactions on Medical Imaging 2021
    13. Radiomics of diffusion-weighted MRI compared to conventional measurement of apparent diffusion-coefficient for differentiation between benign and malignant soft tissue tumors
      Lee, Seung Eun, Jung, Joon-Yong, Nam, Yoonho, Lee, So-Yeon, Park, Hyerim, Shin, Seung-Han, Chung, Yang-Guk, and Jung, Chan-Kwon
      Scientific Reports 2021
    14. Convolutional Neural Network-Based Automatic Segmentation of Substantia Nigra on Nigrosome and Neuromelanin Sensitive MR Images
      Kang, Junghwa, Kim, Hyeonha, Kim, Eunjin, Kim, Eunbi, Lee, Hyebin, Shin, Na-young, and Nam, Yoonho
      Investigative Magnetic Resonance Imaging 2021
    15. χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain
      Shin, Hyeong-Geol, Lee, Jingu, Yun, Young Hyun, Yoo, Seong Ho, Jang, Jinhee, Oh, Se-Hong, Nam, Yoonho, Jung, Sehoon, Kim, Sunhye, Fukunaga, Masaki, and others,
      NeuroImage 2021

    2020

    1. Exploring linearity of deep neural network trained QSM: QSMnet+
      Jung, Woojin, Yoon, Jaeyeon, Ji, Sooyeon, Choi, Joon Yul, Kim, Jae Myung, Nam, Yoonho, Kim, Eung Yeop, and Lee, Jongho
      NeuroImage 2020
    2. Estimating age-related changes in in vivo cerebral magnetic resonance angiography using convolutional neural network
      Nam, Yoonho, Jang, Jinhee, Lee, Hea Yon, Choi, Yangsean, Shin, Na Young, Ryu, Kang-Hyun, Kim, Dong Hyun, Jung, So-Lyung, Ahn, Kook-jin, and Kim, Bum-soo
      Neurobiology of Aging 2020
    3. Stenosis Detection From Time-of-Flight Magnetic Resonance Angiography via Deep Learning 3D Squeeze and Excitation Residual Networks
      Chung, Hunjin, Kang, Koung Mi, Al-Masni, Mohammed A, Sohn, Chul-Ho, Nam, Yoonho, Ryu, Kanghyun, and Kim, Dong-Hyun
      IEEE Access 2020
    4. IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation
      Choi, Yangsean, Nam, Yoonho, Lee, Youn Soo, Kim, Jiwoong, Ahn, Kook-Jin, Jang, Jinhee, Shin, Na-Young, Kim, Bum-Soo, and Jeon, Sin-Soo
      European journal of radiology 2020
    5. Convolutional-neural-network-based diagnosis of appendicitis via CT scans in patients with acute abdominal pain presenting in the emergency department
      Park, Jin Joo, Kim, Kyung Ah, Nam, Yoonho, Choi, Moon Hyung, Choi, Sun Young, and Rhie, Jeongbae
      Scientific Reports 2020
    6. MRI and quantitative magnetic susceptibility maps of the brain after serial administration of gadobutrol: a longitudinal follow-up study
      Choi, Yangsean, Jang, Jinhee, Kim, Jiwoong, Nam, Yoonho, Shin, Na-Young, Ahn, Kook-Jin, Jeon, Sin-soo, and Kim, Bum-soo
      Radiology 2020
    7. MRI-visible dilated perivascular spaces in healthy young adults: A twin heritability study
      Choi, Yangsean, Nam, Yoonho, Choi, Yera, Kim, Jiwoong, Jang, Jinhee, Ahn, Kook Jin, Kim, Bum-soo, and Shin, Na-Young
      Human brain mapping 2020
    8. Paramagnetic Rims in Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorder: A Quantitative Susceptibility Mapping Study with 3-T MRI
      Jang, Jinhee, Nam, Yoonho, Choi, Yangsean, Shin, Na-Young, An, Jae Young, Ahn, Kook-Jin, Kim, Bum-soo, Lee, Kwang-Soo, and Kim, Woojun
      Journal of Clinical Neurology (Seoul, Korea) 2020
    9. Prediction of Human Papillomavirus Status and Overall Survival in Patients with Untreated Oropharyngeal Squamous Cell Carcinoma: Development and Validation of CT-Based Radiomics
      Choi, Y, Nam, Y, Jang, J, Shin, N-Y, Ahn, K-J, Kim, B-S, Lee, Y-S, and Kim, M-S
      American Journal of Neuroradiology 2020

    2019

    1. Improvement of reproducibility in quantitative susceptibility mapping (QSM) and transverse relaxation rates () after physiological noise correction
      Choi, Joon Yul, Lee, Jingu, Nam, Yoonho, Lee, Jongho, and Oh, Se-Hong
      Journal of Magnetic Resonance Imaging 2019
    2. Echo time-range effects on gradient-echo based myelin water fraction mapping at 3T
      Lee, Hongpyo, Nam, Yoonho, and Kim, Dong-Hyun
      Magnetic resonance in medicine 2019
    3. Advances in gradient echo myelin water imaging at 3T and 7T
      Shin, Hyeong-Geol, Oh, Se-Hong, Fukunaga, Masaki, Nam, Yoonho, Lee, Doohee, Jung, Woojin, Jo, Minju, Ji, Sooyeon, Choi, Joon Yul, and Lee, Jongho
      NeuroImage 2019
    4. Initial diagnostic workup of parkinsonism: Dopamine transporter positron emission tomography versus susceptibility map-weighted imaging at 3T
      Sung, Young Hee, Lee, Jongho, Nam, Yoonho, Shin, Hyeong-Geol, Noh, Young, Hwang, Kyung Hoon, Lee, Haejun, and Kim, Eung Yeop
      Parkinsonism & related disorders 2019
    5. Seed-based resting-state functional MRI for presurgical localization of the motor cortex: a task-based functional MRI-determined seed versus an anatomy-determined seed
      Lee, Ji Young, Choi, Yangsean, Ahn, Kook Jin, Nam, Yoonho, Jang, Jin Hee, Choi, Hyun Seok, Jung, So Lyung, and Kim, Bum Soo
      Korean journal of radiology 2019
    6. Relationship between Abnormal Hyperintensity on T2-Weighted Images Around Developmental Venous Anomalies and Magnetic Susceptibility of Their Collecting Veins: In-Vivo Quantitative Susceptibility Mapping Study
      Choi, Yangsean, Jang, Jinhee, Nam, Yoonho, Shin, Na-Young, Choi, Hyun Seok, Jung, So-Lyung, Ahn, Kook-Jin, and Kim, Bum-soo
      Korean journal of radiology 2019
    7. Data-driven synthetic MRI FLAIR artifact correction via deep neural network
      Ryu, Kanghyun, Nam, Yoonho, Gho, Sung-Min, Jang, Jinhee, Lee, Ho-Joon, Cha, Jihoon, Baek, Hye Jin, Park, Jiyong, and Kim, Dong-Hyun
      Journal of Magnetic Resonance Imaging 2019
    8. Synthesizing T1 weighted MPRAGE image from multi echo GRE images via deep neural network
      Ryu, Kanghyun, Shin, Na-Young, Kim, Dong-Hyun, and Nam, Yoonho
      Magnetic Resonance Imaging 2019
    9. Prognostic value of phase information of 2D T2*-weighted gradient echo brain imaging in cardiac arrest survivors: A preliminary study
      Jang, Jinhee, Oh, Sang Hoon, Nam, Yoonho, Lee, Kijeong, Choi, Hyun Seok, Jung, So-Lyung, Ahn, Kook-Jin, Park, Kyu Nam, and Kim, Bum-soo
      Resuscitation 2019
    10. Analysis of peritumoral hyperintensity on pre-operative T2-weighted MR images in glioblastoma: Additive prognostic value of Minkowski functionals
      Choi, Yangsean, Ahn, Kook Jin, Nam, Yoonho, Jang, Jinhee, Shin, Na-Young, Choi, Hyun Seok, Jung, So-Lyung, and Kim, Bum-soo
      PloS one 2019
    11. Analysis of apparent diffusion coefficients of the brain in healthy controls: a comparison study between single-shot echo-planar imaging and read-out-segmented echo-planar imaging
      Choi, Yangsean, Hwang, Eo-Jin, Nam, Yoonho, Choi, Hyun Seok, Jang, Jinhee, Jung, So-Lyung, Ahn, Kook-Jin, and Kim, Bum-soo
      Korean Journal of Radiology 2019
    12. Deep Learning in MR Image Processing
      Lee, Doohee, Lee, Jingu, Ko, Jingyu, Yoon, Jaeyeon, Ryu, Kanghyun, and Nam, Yoonho
      Investigative Magnetic Resonance Imaging 2019
    13. Analysis of heterogeneity of peritumoral T2 hyperintensity in patients with pretreatment glioblastoma: Prognostic value of MRI-based radiomics
      Choi, Yangsean, Ahn, Kook-Jin, Nam, Yoonho, Jang, Jinhee, Shin, Na-Young, Choi, Hyun Seok, Jung, So-Lyung, and Kim, Bum-soo
      European journal of radiology 2019