Publications

† Co-first author. * Corresponding author.

Full list on Google Scholar PubMed

Books and book chapters 1

  1. Cover of the book Advanced MR Techniques for Neurodegenerative Diseases (Elsevier)

    Susceptibility weighted imaging and quantitative susceptibility mapping

    Shin HG, Chen L, Li X

    In: Chan KW, Unschuld PG, van Zijl PCM, Knutsson L, eds. Advanced MR Techniques for Neurodegenerative Diseases. Advances in Magnetic Resonance Technology and Applications, Vol 14. Elsevier ISBN 978-0-443-21425-7 (2026)

Papers 30

  1. Evidence of iron accumulation in cerebral adrenoleukodystrophy: a potential novel disease mechanism

    Nemeth CL, Sisman M, Zhang J, Shin HG, Li X, Turk B, Fatemi A, Nguyen T, Mallack E

    Annals of Clinical and Translational Neurology 13(6):1276-1282 (2026)

  2. Threshold effects, cognitive decline, and longitudinal changes in white matter hyperintensity volume

    Sasannia S, Matsyuk M, Wang S, Zhang J, Walker KA, Shin HG, Leigh R, Prince JL, Becker LC, Yanek LR, Armstrong NJ, van Zijl P, Vaidya D, Knutsson L, Nyquist PA

    Stroke 57(9):2695-2708 (2026)

  3. In-vivo iron mapping in patients with Parkinson's disease using deep learning-based susceptibility source separation MRI

    Shin HG, Mills KA, Dawson TM, Kim T, Lee J, Li X, van Zijl P, Prasuhn J

    npj Parkinson's Disease 12(1):200 (2026)

  4. Resolution generalization of deep learning-based dipole inversion networks for QSM

    Ji S, Kim M, Lee J*, Shin HG*

    NeuroImage 324:121598 (2025) *Corresponding authors

  5. In-vivo high-resolution χ-separation at 7T

    Kim J, Kim M, Ji S, Min K, Jeong H, Shin HG, Oh C, Fox RJ, Sakaie KE, Lowe MJ, Oh SH, Straub S, Kim SG, Lee J

    NeuroImage 308:121060 (2025)

  6. χ-sepnet: deep neural network for magnetic susceptibility source separation

    Kim M, Ji S, Kim J, Min K, Jeong H, Youn J, Kim T, Jang J, Bilgic B, Shin HG*, Lee J*

    Human Brain Mapping 46(2):e70136 (2025) *Co-corresponding authors

  7. Association of iron deposition in MS lesion with remyelination capacity using susceptibility source separation MRI

    Shin HG, Kim W, Lee JH, Lee HS, Nam Y, Kim J, Li X, van Zijl PCM, Calabresi PA, Lee J, Jang J

    NeuroImage: Clinical 45:103748 (2025)

  8. ProxiMO: proximal multi-operator networks for quantitative susceptibility mapping

    Orenstein S, Fang Z, Shin HG, van Zijl P, Li X, Sulam J

    Machine Learning in Clinical Neuroimaging, Lecture Notes in Computer Science 15266:13-23 (2025)

  9. Blood-brain barrier breakdown in brain ischemia: insights from MRI perfusion imaging

    Sasannia S, Leigh R, Bastani PB, Shin HG, van Zijl P, Knutsson L, Nyquist P

    Neurotherapeutics 22(1):e00516 (2025)

  10. Quantifying remyelination using χ-separation in white matter and cortical multiple sclerosis lesions

    Müller J, Lu PJ, Cagol A, Ruberte E, Shin HG, Ocampo-Pineda M, Chen X, Tsagkas C, Barakovic M, Galbusera R, Weigel M, Schaedelin SA, Wang Y, Nguyen TD, Spincemaille P, Kappos L, Kuhle J, Lee J, Granziera C

    Neurology 103(6):e209604 (2024)

  11. Comparison between R2'-based and R2*-based χ-separation methods: a clinical evaluation in individuals with multiple sclerosis

    Ji S, Jang J, Kim M, Lee H, Kim W, Lee J*, Shin HG*

    NMR in Biomedicine 37(9):e5167 (2024) *Corresponding authors

  12. Compartmental anisotropy of filtered exchange imaging (FEXI) in human white matter: what is happening in FEXI?

    Shin HG, Li X, Heo HY, Knutsson L, Szczepankiewicz F, Nilsson M, van Zijl PCM

    Magnetic Resonance in Medicine 92(2):660-675 (2024)

  13. A human brain atlas of χ-separation for normative iron and myelin distributions

    Min K, Sohn B, Kim WJ, Park CJ, Song S, Shin DH, Chang KW, Shin NY, Kim M, Shin HG, Lee PH, Lee J

    NMR in Biomedicine 37(12):e5226 (2024)

  14. χ-separation imaging for diagnosis of multiple sclerosis versus neuromyelitis optica spectrum disorder

    Kim W, Shin HG, Lee H, Park D, Kang J, Nam Y, Lee J, Jang J

    Radiology 307(1):e220941 (2023)

  15. WaveSep: a flexible wavelet-based approach for source separation in susceptibility imaging

    Fang Z†, Shin HG†, van Zijl P, Li X, Sulam J

    Machine Learning in Clinical Neuroimaging, Lecture Notes in Computer Science 14312:56-66 (2023) †Co-first authors

  16. Blip up-down acquisition for spin- and gradient-echo imaging (BUDA-SAGE) with self-supervised denoising enables efficient T2, T2*, para- and dia-magnetic susceptibility mapping

    Zhang Z, Cho J, Wang L, Liao C, Shin HG, Cao X, Lee J, Xu J, Zhang T, Ye H, Setsompop K, Liu H, Bilgic B

    Magnetic Resonance in Medicine 88(2):633-650 (2022)

  17. 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 S, Jeong J, Oh SH, Nam Y, Choi SH, Shin HG, Shin D, Jung W, Lee J

    IEEE Transactions on Medical Imaging 40(12):3617-3626 (2021)

  18. χ-separation: magnetic susceptibility source separation toward iron and myelin mapping in the brain

    Shin HG, Lee J, Yun YH, Yoo SH, Jang J, Oh SH, Nam Y, Jung S, Kim S, Fukunaga M, Kim W, Choi HJ, Lee J

    NeuroImage 240:118371 (2021)

  19. DeepResp: deep learning solution for respiration-induced B0 fluctuation artifacts in multi-slice GRE

    An H, Shin HG, Ji S, Jung W, Oh SH, Shin D, Park J, Lee J

    NeuroImage 224:117432 (2021)

  20. So you want to image myelin using MRI: an overview and practical guide for myelin water imaging

    Lee J, Hyun JW, Lee J, Choi EJ, Shin HG, Min K, Nam Y, Kim HJ, Oh SH

    Journal of Magnetic Resonance Imaging 53(2):360-373 (2021)

  21. Artificial neural network for myelin water imaging

    Lee J, Lee D, Choi JY, Shin D, Shin HG, Lee J

    Magnetic Resonance in Medicine 83(5):1875-1883 (2020)

  22. Initial diagnostic workup of parkinsonism: dopamine transporter positron emission tomography versus susceptibility map-weighted imaging at 3T

    Sung YH, Lee J, Nam Y, Shin HG, Noh Y, Hwang KH, Lee H, Kim EY

    Parkinsonism & Related Disorders 62:171-178 (2019)

  23. Advances in gradient echo myelin water imaging at 3T and 7T

    Shin HG, Oh SH, Fukunaga M, Nam Y, Lee D, Jung W, Jo M, Ji S, Choi JY, Lee J

    NeuroImage 188:835-844 (2019)

  24. Differential involvement of nigral subregions in idiopathic Parkinson's disease

    Sung YH, Lee J, Nam Y, Shin HG, Noh Y, Shin DH, Kim EY

    Human Brain Mapping 39(1):542-553 (2018)

  25. An R2* model of white matter for fiber orientation and myelin concentration

    Lee J, Shin HG, Jung W, Nam Y, Oh SH, Lee J

    NeuroImage 162:269-275 (2017)

Patents 3

  1. Method for reconstructing paramagnetic and diamagnetic susceptibility maps using multi-compartment modeling

    Shin HG, Li X, van Zijl P

    US provisional patent application, Johns Hopkins Technology Ventures

  2. Method for reconstructing QSM map using dipole compensation

    Ji S, Shin HG, Lee J

    US Patent 12,411,196, SNU R&DB Foundation (2025)

  3. Method for reconstructing QSM map using dipole compensation

    Ji S, Shin HG, Lee J

    Korean Patent 10-2771508, SNU R&DB Foundation (2025)

Conference abstracts 77

20265
  • Iron mapping in Parkinson's disease using deep learning-enhanced susceptibility source separation

    Shin HG, Mills KA, Dawson TM, Kim T, Lee J, Li X, van Zijl P, Prasuhn J

    ISMRM Annual Meeting, Cape Town, South Africa (2026)

  • White matter hyperintensity burden as a predictor of white matter damage

    Shin HG, Sasannia S, Matsyuk M, Wang S, Zhang J, Li X, Szczepankiewicz F, Prince JL, Leigh R, Knutsson L, van Zijl P, Nyquist P

    ISMRM Annual Meeting, Cape Town, South Africa (2026)

  • HiFi-QSM: a deep learning framework for high-resolution QSM reconstruction

    Oh C, Kim T, Kim J, Shin HG, Lee J

    ISMRM Annual Meeting, Cape Town, South Africa (2026)

  • Submillimeter mapping of diffusion and susceptibility MRI to characterize cortical microstructures

    Uchida Y, Shin HG, Gomez-Isaza L, Troncoso JC, Bibic A, Gerold J, Sung D, Jun Y, Wang F, Dong Z, Huang S, Bilgic B, van Zijl P, Li X, Oishi K

    ISMRM Annual Meeting, Cape Town, South Africa (2026)

  • MWF-MIMOSA for highly-efficient joint relaxometry and myelin water fraction mapping

    Chen Y, Jun Y, Shin HG, Li S, Fujita S, Yong X, Kim J, Lee J, Piredda GF, Hilbert T, Liu H, Ye H, Gagoski B, Chan KS, Bilgic B

    ISMRM Annual Meeting, Cape Town, South Africa (2026)

202510
  • Multi-compartment susceptibility source separation (Mc-χ-separation) using GRE data only: integrated model of QSM and myelin water imaging

    Shin HG, Saidha S, Lee J, Calabresi PA, van Zijl P, Li X

    ISMRM Annual Meeting, Honolulu, HI, USA (2025)

  • Accelerating multi-parametric MRI sequences using learned acquisition and reconstruction optimization (LARO): a retrospective study

    Zhang J, Shin HG, Dewey BE, Remedios SW, Carass A, Li X, van Zijl P, Saidha S, Calabresi PA, Prince JL

    ISMRM Annual Meeting, Honolulu, HI, USA (2025)

  • Metric-based automatic quality assessment for quantitative susceptibility mapping in UK Biobank study

    Xu Z, Shin HG, Li X, Qiao Y

    ISMRM Annual Meeting, Honolulu, HI, USA (2025)

  • Quantitative susceptibility mapping, χ-separation, and their associations with cognitive functions in the UK Biobank study

    Hong YS, Shin HG, Xu Z, Lee J, Koo J, Jeong H, Arking DE, Guallar E, van Zijl PC, Qiao Y, Li X

    ISMRM Annual Meeting, Honolulu, HI, USA (2025)

  • Impacts of cerebral iron accumulation on cognitive changes and motor dysfunction in aging: a quantitative susceptibility mapping (QSM) study

    Bae J, Gong Z, Guo A, Fox N, Zhang N, De Rouen A, Shin HG, Li X, Bouhrara M

    ISMRM Annual Meeting, Honolulu, HI, USA (2025)

  • DeepSepSTI-R2*: R2-free anisotropic susceptibility source separation in susceptibility tensor imaging with deep learning

    Fang Z, Shin HG, Dewey BE, Calabresi PA, van Zijl P, Sulam J, Li X

    ISMRM Annual Meeting, Honolulu, HI, USA (2025)

  • Development of χ-separation pipeline for UK Biobank dataset

    Koo J, Jeong H, Kim J, Hong R, Shin HG, Li X, Hong YS, Qiao Y, Arking DE, Lee J

    ISMRM Annual Meeting, Honolulu, HI, USA (2025)

  • MRI assessment of blood-brain barrier disruption is highest in the penumbral region of vascular white matter lesions

    Sasannia S, Knutsson L, Matsyuk M, Wang S, Wang J, Shin HG, Prince JL, Leigh R, van Zijl P, Nyquist P

    International Stroke Conference, Los Angeles, CA, USA (2025) Published in Stroke 56(suppl 1):TP184 (2025)

  • Ten year increases in white matter hyperintensity volume correlates with the severity of ongoing blood brain barrier permeability when measured with dynamic susceptibility contrast MRI

    Sasannia S, Leigh R, Wang S, Matsyuk M, Zhang J, Shin HG, Prince JL, Becker L, Yanek L, Vaidya D, van Zijl P, Knutsson L, Nyquist P

    International Stroke Conference, Los Angeles, CA, USA (2025)

  • Increased severity of blood-brain barrier disruption is associated with greater burden of cerebrovascular disease in asymptomatic patients

    Leigh R, Sasannia S, Wang S, Matsyuk M, Zhang J, Shin HG, Prince JL, Becker L, Yanek L, Vaidya D, van Zijl P, Knutsson L, Nyquist P

    International Stroke Conference, Los Angeles, CA, USA (2025)

202413
  • Identifying multiple sclerosis lesion subtypes with distinct microstructural features using advanced microstructural MRI

    Shin HG, Dewey BE, Brabec J, Zhang J, Ezzedin O, Ecoff K, Kim A, Ramirez A, DuVal A, Fitzgerald K, Knutsson L, Szczepankiewicz F, Prince JL, Saidha S, Calabresi PA, van Zijl P, Li X

    Workshop of the North American Imaging in Multiple Sclerosis Cooperative, West Palm Beach, FL, USA (2024)

  • Identifying multiple sclerosis lesion subtypes with distinct microstructural features using advanced microstructural MRI

    Shin HG, Dewey BE, Brabec J, Zhang J, Ezzedin O, Ecoff K, Kim A, Ramirez A, DuVal A, Fitzgerald K, Knutsson L, Szczepankiewicz F, Prince JL, Saidha S, Calabresi PA, van Zijl P, Li X

    ACTRIMS Forum, West Palm Beach, FL, USA (2024)

  • Systematic analysis of relaxometric constant in brain using temperature-dependent relaxometry and susceptibility: toward 7T χ-separation

    Shin HG, Uchida Y, Redding-Ochoa J, Onda K, Ji S, Barrett A, Bibic A, Troncoso JC, Kim J, van Zijl P, Oishi K, Li X

    ISMRM Annual Meeting, Singapore (2024)

  • Microscopic diffusion anisotropy as a predictor of cognitive decline in asymptomatic adults

    Shin HG, Sasannia S, Mahmud S, Matsyuk M, Wang S, Zhang J, Szczepankiewicz F, Li X, Prince JL, Knutsson L, van Zijl P, Nyquist P

    ISMRM Annual Meeting, Singapore (2024)

  • Visualization of iron and myelin cytoarchitecture in postmortem human brain using sub-millimeter multi-orientation χ-separation

    Shin HG, Uchida Y, Redding-Ochoa J, Onda K, Barrett A, Bibic A, Troncoso JC, van Zijl P, Oishi K, Li X

    ISMRM Annual Meeting, Singapore (2024)

  • Identifying multiple sclerosis lesion subtypes with distinct microstructural features using advanced microstructural MRI

    Shin HG, Dewey BE, Brabec J, Zhang J, Ezzedin O, Ecoff K, Kim A, Ramirez A, DuVal A, Fitzgerald K, Knutsson L, Szczepankiewicz F, Prince JL, Saidha S, Calabresi PA, van Zijl P, Li X

    ISMRM Annual Meeting, Singapore (2024)

  • Association of iron deposition in early-stage multiple sclerosis lesion with remyelination capacity: χ-separation imaging study

    Shin HG, Kim W, Lee H, Kim J, Nam Y, Li X, van Zijl P, Lee J, Jang J

    ISMRM Annual Meeting, Singapore (2024)

  • Investigation and validation for cortical laminar structures of myelin and iron using χ-separation

    Moon B, Shin HG, Kim J, Ji S, Oh C, Lee J

    ISMRM Annual Meeting, Singapore (2024)

  • In vivo high-resolution χ-separation at 7T

    Kim J, Shin HG, Kim M, Ji S, Min K, Jeong H, Kim S, Lee J

    ISMRM Annual Meeting, Singapore (2024)

  • A human brain atlas of χ-separation for normative iron and myelin distributions

    Min K, Sohn B, Kim WJ, Park CJ, Song S, Shin DH, Chang KW, Shin N, Kim M, Shin HG, Lee PH, Lee J

    ISMRM Annual Meeting, Singapore (2024)

  • DeepSepSTI: improved susceptibility tensor reconstruction by anisotropic susceptibility source separation

    Fang Z, Shin HG, Dewey BE, Calabresi PA, van Zijl P, Sulam J, Li X

    ISMRM Annual Meeting, Singapore (2024)

  • Susceptibility tensor imaging of ex vivo human hemibrain using 7T human MR scanner

    Uchida Y, Shin HG, Redding-Ochoa J, Onda K, Barrett A, Bibic A, Troncoso J, van Zijl P, Oishi K, Li X

    ISMRM Annual Meeting, Singapore (2024)

  • Systematic analysis of relaxometric constants in brain tissue using temperature-dependent transverse relaxometry and magnetic susceptibility

    Shin HG, Uchida Y, Redding-Ochoa J, Onda K, Barrett A, Bibic A, Troncoso JC, van Zijl P, Oishi K, Li X

    2nd Joint Workshop on MR Phase, Magnetic Susceptibility and Electrical Properties Mapping, Santiago, Chile (2024)

20237
  • Diffusion filters, T2-filters, diffusion tensor component diffusivities, and compartmental diffusivities: what is happening in FEXI?

    Shin HG, Li X, Heo H, Knutsson L, Szczepankiewicz F, Nilsson M, van Zijl P

    ISMRM Annual Meeting, Toronto, Canada (2023)

  • A toolbox of χ-separation for magnetic susceptibility source separation

    Lee J, Shin HG, Kim M, Lee J, Oh SH

    ISMRM Annual Meeting, Toronto, Canada (2023)

  • Comparison of χ-separation and χ-separation*: a clinical feasibility study

    Jang J, Shin HG, Kim M, Lee H, Kim W

    ISMRM Annual Meeting, Toronto, Canada (2023)

  • A feasibility study of susceptibility source separation via χ-separation in amyotrophic lateral sclerosis patients at 7T

    Kim J, Shin HG, Ji S, Jeong H, An H, Sohn C, Han S, Song H, Chae J, Choi S, Sung J, Lee J

    ISMRM Annual Meeting, Toronto, Canada (2023)

  • Successful generalization for data with higher or lower resolution than training data resolution in deep learning powered QSM reconstruction

    Ji S, Park J, Shin HG, Yoon J, Kim M, Lee J

    ISMRM Annual Meeting, Toronto, Canada (2023)

  • In vivo delineation of fine structures in the human brain using high resolution deep learning-powered χ-separation

    Ji S, Park J, Shin HG, Kim M, Lee J

    ISMRM Annual Meeting, Toronto, Canada (2023)

  • Identifying multiple sclerosis lesion subtypes with distinct microstructural features using advanced microstructural MRI and unsupervised machine learning

    Shin HG, Dewey BE, Brabec J, Li X, Ezzedin O, Ecoff K, Ramirez A, DuVal A, Fitzgerald K, Prince JL, Saidha S, Calabresi PA, van Zijl P

    9th Joint ECTRIMS-ACTRIMS Meeting, Milan, Italy (2023)

202212
  • Imaging multiple sclerosis histopathology using susceptibility source separation: a postmortem brain study

    Shin HG, Galbusera R, Seo J, Ji S, Bahn E, Franz J, Stadelmann C, Lu P, Jang J, Lee Y, Granziera C, Lee J

    ISMRM Annual Meeting, London, United Kingdom (2022)

  • χ-separation using multi-orientation data in in vivo and ex vivo brains: visualization of histology up to the resolution of 350 µm

    Shin HG, Seo J, Lee Y, Jeong H, Ji S, Kim M, Park J, Kim B, Lee K, Kim S, Jang J, Woo M, Lee J

    ISMRM Annual Meeting, London, United Kingdom (2022)

  • QALAS + QSM: efficient multi-parameter mapping allows disentangling para- and dia-magnetic contributions in brain tissue

    Shin HG, Chen J, Lee J, Kim T, Cho J, Varela-Mattatall G, Gagoski B, Liu C, Bilgic B

    ISMRM Annual Meeting, London, United Kingdom (2022)

  • Imaging ex vivo cynomolgus monkey brain in 150 µm isotropic resolution

    Oh C, Kim Y, Park J, Song Y, Jeon C, Lim K, Seo J, Seong J, Cho J, Lee Y, Lee J, Shin HG*

    ISMRM Annual Meeting, London, United Kingdom (2022) *Corresponding author

  • Application of susceptibility source separation (χ-separation) to UK Biobank protocol and clinical protocol using deep neural network

    Jeong H, Oh SH, Lee J, Shin HG*

    ISMRM Annual Meeting, London, United Kingdom (2022) *Corresponding author

  • Iron and myelin content in multiple sclerosis lesions using magnetic susceptibility source separation

    Rahmanzadeh R, Lu P, Shin HG, Weigel M, Nguyen TD, Wang Y, La Rosa F, Bach Cuadra M, Radue E, Kuhle J, Kappos L, Lee J, Granziera C

    ISMRM Annual Meeting, London, United Kingdom (2022)

  • χ-sepnet: susceptibility source separation using deep neural network

    Kim M, Shin HG, Oh C, Jeong H, Ji S, An H, Kim J, Jang J, Bilgic B, Lee J

    ISMRM Annual Meeting, London, United Kingdom (2022)

  • Laminar profiling in advanced susceptibility imaging reveals variations in iron and myelin concentrations

    Lee S, Shin HG, Lee J

    ISMRM Annual Meeting, London, United Kingdom (2022)

  • Hypo-diamagnetism on χ-separation: a potential marker for the differential diagnosis between MS and NMOSD

    Jang J, Shin HG, Lee H, Park D, Kang J, Nam Y, Lee J, Kim W

    ISMRM Annual Meeting, London, United Kingdom (2022)

  • Coil to coil: self-supervised denoising using phased-array coil images

    Park J, Park D, Shin HG, Choi E, Shin D, Chun SY, Lee J

    ISMRM Annual Meeting, London, United Kingdom (2022)

  • Observing hyperintensity region within substantia nigra in cynomolgus monkey

    Oh C, Jeon C, Seo J, Shin HG, Ji S, Park S, Song S, Shin D, Lee Y, Lee J

    ISMRM Annual Meeting, London, United Kingdom (2022)

  • Imaging multiple sclerosis histology using susceptibility source separation: a postmortem brain study

    Shin HG, Galbusera R, Seo J, Ji S, Bahn E, Franz J, Stadelmann C, Lu P, Jang J, Lee Y, Li X, van Zijl P, Granziera C, Lee J

    1st Joint Workshop on MR Phase, Magnetic Susceptibility and Electrical Properties Mapping, Lucca, Italy (2022)

20219
  • Magnetic susceptibility source separation: validation with Monte-Carlo simulation and application to human brain with histological comparison

    Shin HG, Yun Y, Yoo S, Jung S, Kim S, Choi H, Lee J

    ISMRM Annual Meeting, Online (2021)

  • Validation of magnetic susceptibility source separation: Monte-Carlo simulation and histological comparison in human brains

    Shin HG, Yun Y, Yoo S, Jung S, Kim S, Choi H, Lee J

    3rd Annual Scientific Meeting of the Asian Society for Magnetic Resonance in Medicine, Yokohama, Japan (2021)

  • DeepSlider: deep learning-powered gSlider for improved robustness and performance

    Park J, Shin D, Shin HG, Kim J, Lee J

    ISMRM Annual Meeting, Online (2021)

  • Generalization of deep learning-based QSM by expanding the diversity of spatial gradient in training data

    Jung W, Bollmann S, Oh SH, Shin HG, Ji S, Lee J

    ISMRM Annual Meeting, Online (2021)

  • AutoSON: automated sequence optimization by joint training with a neural network

    An H, Shin D, Shin HG, Jung W, Lee J

    ISMRM Annual Meeting, Online (2021)

  • DeepResp: deep neural network for respiration-induced artifact correction in 2D multi-slice GRE

    An H, Shin HG, Ji S, Jung W, Oh SH, Shin D, Park J, Lee J

    ISMRM Annual Meeting, Online (2021)

  • ChEST: a novel model measuring both chemical exchange and susceptibility tensor from resonance frequency shift

    Jeong H, Shin HG, Li X, Ji S, Lee J

    ISMRM Annual Meeting, Online (2021)

  • DeepTSE-T2: deep learning-powered T2 mapping with B1+ estimation using a product double-echo turbo spin echo sequence

    Jeong H, Shin HG, Ji S, Jang J, Lee H, Nam Y, Lee J

    ISMRM Annual Meeting, Online (2021)

  • High neuromelanin contrast achieved using sandwiched flow saturation RF pulses: sandwich-fsNM imaging

    Ji S, Choi E, Kim EY, Shin D, Shin HG, Lee J

    ISMRM Annual Meeting, Online (2021)

20203
  • Multi-seed myelin water imaging using gradient echo: beyond the initial guess in exponential-sum fit

    Shin HG, Oh SH, Ji S, Lee J, Jung W, Choi E, Lee J

    ISMRM Annual Meeting, Online (2020)

  • Machine designing: a multi-coil local shim design using Bayesian optimization

    Oh C, Choi E, Jung W, Shin HG, Lee J

    ISMRM Annual Meeting, Online (2020)

  • Closer look at multiple sclerosis lesions: initial results of positive and negative magnetic susceptibility separation

    Jang J, Shin HG, Nam Y, Lee J, Lee J, Kim W

    ISMRM Annual Meeting, Online (2020)

20196
  • Development and systematic analysis of 2D and 3D GRE myelin water imaging

    Shin HG, Oh SH, Nam Y, Lee J

    Gordon Research Conference on Tissue Microstructure Imaging, South Hadley, MA, USA (2019)

  • Separating positive and negative susceptibility sources in QSM

    Shin HG, Lee J, Nam Y, Jang J, Oh SH, Lee J

    5th International QSM Workshop, Seoul, Korea (2019)

  • A sequence for high quality gradient echo myelin water imaging (GRE-MWI) at 3 T and 7 T

    Shin HG, Oh SH, Fukunaga M, Nam Y, Lee J

    5th International QSM Workshop, Seoul, Korea (2019)

  • Analysis of gradient echo myelin water imaging (GRE-MWI) for water exchange and scan parameters

    Shin HG, Oh SH, Choi JY, Min K, Eun H, Lee J

    ISMRM Annual Meeting, Montreal, Canada (2019)

  • Validation of magnetic susceptibility source separation: Monte Carlo simulation and phantom experiment

    Lee J, Shin HG, Eun H, Shin D, Lee J

    ISMRM Annual Meeting, Montreal, Canada (2019)

  • Real-time processing of myelin water imaging using artificial neural network

    Lee J, Lee D, Choi JY, Shin D, Shin HG, Lee J

    ISMRM Annual Meeting, Montreal, Canada (2019)

20187
  • A sequence for high quality gradient echo myelin water imaging (GRE-MWI) at 3T and 7T

    Shin HG, Oh SH, Fukunaga M, Lee D, Nam Y, Ji S, Jung W, Lee J

    ISMRM Annual Meeting, Paris, France (2018)

  • A sequence for high quality gradient echo myelin water imaging (GRE-MWI) at 3T and 7T

    Shin HG, Oh SH, Fukunaga M, Lee D, Nam Y, Ji S, Jung W, Lee J

    ISMRM Advanced Neuro: Best Practices for Technical Implementation, Seoul, Korea (2018)

  • Systematic development of a sequence for gradient-echo-based myelin water imaging (GRE-MWI)

    Shin HG, Oh SH, Min K, Lee J

    International Congress on Magnetic Resonance Imaging, Seoul, Korea (2018)

  • Analysis of knee cartilage using magnetization transfer and multi-exponential T2* fitting

    Ji S, Oh SH, Lee Y, Shin D, Lee D, Hwang T, Jung W, Shin HG, Lee J

    ISMRM Annual Meeting, Paris, France (2018)

  • SafeNet: artificial neural network for real-time T2 mapping with quality assurance

    Lee D, Jung W, Lee J, Ko J, Shin HG, Eun H, Nam Y, Lee J

    ISMRM Annual Meeting, Paris, France (2018)

  • A procedure to scale myelin water fraction to myelin volume fraction for g-ratio mapping

    Jung W, Shin HG, Lee J, Ji S, Lee D, Nam Y, Lee J

    ISMRM Annual Meeting, Paris, France (2018)

  • Magnetic susceptibility source separation using multi-echo GRE data only

    Hwang T, Lee J, Shin HG, Lee D, Choi J, Eun H, Nam Y, Lee J

    ISMRM Annual Meeting, Paris, France (2018)

20174
  • Development and systematic analysis of 2D and 3D GRE myelin water imaging

    Shin HG, Oh SH, Lee J

    ISMRM Annual Meeting, Honolulu, HI, USA (2017)

  • Automation of susceptibility map-weighted imaging (SMwI) for nigrosome-1 in the substantia nigra

    Shin HG, Kim EY, Nam Y, Shin D, Lee J

    International Congress on Magnetic Resonance Imaging, Seoul, Korea (2017)

  • Assessment of patients who presented with parkinsonism: nigrosome-1 susceptibility map-weighted imaging versus 18F-FP-CIT PET

    Lee I, Kim EY, Kim C, Seong T, Shin HG, Nam Y

    RSNA Annual Meeting, Chicago, IL, USA (2017)

  • Separating positive and negative susceptibility sources in QSM

    Lee J, Nam Y, Choi J, Shin HG, Hwang T, Lee J

    ISMRM Annual Meeting, Honolulu, HI, USA (2017)

20161
  • Simultaneous generation of quantitative susceptibility map (QSM) and myelin water image (MWI) using multi-echo GRE data for estimation of iron and myelin distribution in brain

    Shin HG, Choi JY, Lee J

    4th International QSM Workshop, Graz, Austria (2016)