Ho Sung Kim

Title(s)Assistant Professor of Neurology
AddressSHN, 2025 Zonal Ave.
Health Sciences Campus
Los Angeles CA 90033
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    Collapse Biography 
    Collapse Education and Training
    McGill University, Montreal QC, Canada Ph.D.Biomedical Engineering
    Montreal Neurological Institute, Montreal QC, Canada Postdoctoral fellowNeuroimaging of Epilepsy
    University of California, San Francisco, San Francisco CAPostdoctoral fellowNeurodevelopment, Clinical Neuroscience
    Collapse Awards and Honors
    Baxter Foundation2017  - 2018Donald E. and Delia B. Baxter Foundation Faculty Fellowship Award
    Canadian Institutes of Health Research2015  - 2017Banting Postdoctoral Fellowships
    Fonds de la recherche en sante/ Health Research Funds in Quebec (FRSQ)2014  - 2016Post-doctoral fellowship
    Sleep2013Sleep Research Society Abstract Excellence Award
    ISMRM 24th Annual Meeting & Exhibition2016Young Investigator / Trainee Stipends Award
    10th Annual Meeting of Korean Sleep Research Society2013Best Poster presentation award
    American Epilepsy Society (AES 2011)2011Young Investigator Travel Award
    American Epilepsy Society (AES 2010)2010Young Investigator Travel Award
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2011)2011Student Travel Award
    Fonds de la recherche en santé / Health Research Funds in Quebec (FRSQ) 2009  - 2010Doctoral Training Awards
    McGill University2007Fellowship for returning graduate students
    Hanyang University1998  - 2000Excellent Student Scholarship

    Collapse Overview 
    Collapse Overview
    My research spans an interdisciplinary cross-section of Medical Image Processing, Machine learning, and Neuroscience covering clinical neurology and neuropsychiatry. In the fields of medical image processing and analysis, I have studied on multicontrast image registration and segmentation, surface modeling of cortical/subcortical structures which are the prerequisite techniques to proceed the analysis of structural and functional brain imaging studies.
    My projects that have been recently launched at USC-INI and USC-LONI include mainly three domains of the research field: 1) Prediction of neurodevelopmental outcome in neonates with various clinical conditions such as preterm birth, hypoxia-ischemia, and congenital heart disease: This project expands in line with my team's expertise in neurodevelopment, neuroimaging, computational imaging feature modeling and machine learning (particularly DEEP learning); 2) Neuroimaging data quality controls (image QC): My team dedicates its efforts to implementation of online-based LONI-QC system that allows the public to evaluate their own data as well as to automated QC feature that will ultimately predict the accuracy of brain image post-processing and the sensitivity in the subsequently biological/clinical analysis to given target pathophysiology, and 3) Prediction of brain age and accelerated aging due to neurodegeneration: combination of brain imaging data and covolutional neural network-based deep-learning can estimate the brain age for individual images. extending this model with a statistical hazard model, we aim to determine risk scores for aging subjects who potentially develop a neurodegenerative disease.
    In other clinical/neuroscientific applications, my team has applied various advanced analytic frameworks, including cortical morphometry, voxel-based morphometry, deformation-based morphometry and structural network analysis, to the assessment of brain structure in healthy conditions as well as pathological conditions, which often present anatomical variations beyond the range of normal structures.
    My team continues to expand aforementioned techniques to the analysis of BIG DATA of brain imaging data to better understand mechanisms involved in various diseases and disorders such as stroke, epilepsy, dementia, sleep disorders, as well as long-term deafness and sudden hearing loss.

    Collapse Research 
    Collapse Research Activities and Funding
    Machine learning of multicontrast MRI features to predict neurodevelopmental outcome of preterm neonates
    Baxter Foundation Jul 1, 2017 - Jun 30, 2018
    Role: Principal investigator

    Collapse Bibliographic 
    Collapse Publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help. to make corrections and additions.
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    1. Robust Cortical Thickness Morphometry of Neonatal Brain and Systematic Evaluation Using Multi-Site MRI Datasets. Front Neurosci. 2021; 15:650082. Liu M, Lepage C, Kim SY, Jeon S, Kim SH, Simon JP, Tanaka N, Yuan S, Islam T, Peng B, Arutyunyan K, Surento W, Kim J, Jahanshad N, Styner MA, Toga AW, Barkovich AJ, Xu D, Evans AC, Kim H. PMID: 33815050.
      View in: PubMed   Mentions:
    2. Retrospective motion artifact correction of structural MRI images using deep learning improves the quality of cortical surface reconstructions. Neuroimage. 2021 04 15; 230:117756. Duffy BA, Zhao L, Sepehrband F, Min J, Wang DJ, Shi Y, Toga AW, Kim H, Alzheimer's Disease Neuroimaging Initiative . PMID: 33460797.
      View in: PubMed   Mentions:    Fields:    
    3. Disruption and Compensation of Sulcation-based Covariance Networks in Neonatal Brain Growth after Perinatal Injury. Cereb Cortex. 2020 11 03; 30(12):6238-6253. Kim SY, Liu M, Hong SJ, Toga AW, Barkovich AJ, Xu D, Kim H. PMID: 32656563.
      View in: PubMed   Mentions: 3     Fields:    
    4. Cortical reorganization following auditory deprivation predicts cochlear implant performance in postlingually deaf adults. Hum Brain Mapp. 2021 01; 42(1):233-244. Sun Z, Seo JW, Park HJ, Lee JY, Kwak MY, Kim Y, Lee JY, Park JW, Kang WS, Ahn JH, Chung JW, Kim H. PMID: 33022826.
      View in: PubMed   Mentions: 1     Fields:    
    5. The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke. Hum Brain Mapp. 2020 Apr 20. Liew SL, Zavaliangos-Petropulu A, Jahanshad N, Lang CE, Hayward KS, Lohse KR, Juliano JM, Assogna F, Baugh LA, Bhattacharya AK, Bigjahan B, Borich MR, Boyd LA, Brodtmann A, Buetefisch CM, Byblow WD, Cassidy JM, Conforto AB, Craddock RC, Dimyan MA, Dula AN, Ermer E, Etherton MR, Fercho KA, Gregory CM, Hadidchi S, Holguin JA, Hwang DH, Jung S, Kautz SA, Khlif MS, Khoshab N, Kim B, Kim H, Kuceyeski A, Lotze M, MacIntosh BJ, Margetis JL, Mohamed FB, Piras F, Ramos-Murguialday A, Richard G, Roberts P, Robertson AD, Rondina JM, Rost NS, Sanossian N, Schweighofer N, Seo NJ, Shiroishi MS, Soekadar SR, Spalletta G, Stinear CM, Suri A, Tang WKW, Thielman GT, Vecchio D, Villringer A, Ward NS, Werden E, Westlye LT, Winstein C, Wittenberg GF, Wong KA, Yu C, Cramer SC, Thompson PM. PMID: 32310331.
      View in: PubMed   Mentions: 4     Fields:    
    6. White matter tract-specific alterations in male patients with untreated obstructive sleep apnea are associated with worse cognitive function. Sleep. 2020 03 12; 43(3). Koo DL, Kim HR, Kim H, Seong JK, Joo EY. PMID: 31848608.
      View in: PubMed   Mentions: 3     Fields:    Translation:Humans
    7. A five-year longitudinal study reveals progressive cortical thinning in narcolepsy and faster cortical thinning in relation to early-onset. Brain Imaging Behav. 2020 Feb; 14(1):200-212. Jeon S, Cho JW, Kim H, Evans AC, Hong SB, Joo EY. PMID: 30392082.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    8. Imputation Strategy for Reliable Regional MRI Morphological Measurements. Neuroinformatics. 2020 01; 18(1):59-70. Sta Cruz S, Dinov ID, Herting MM, González-Zacarías C, Kim H, Toga AW, Sepehrband F. PMID: 31054076.
      View in: PubMed   Mentions: 3     Fields:    Translation:Humans
    9. Beyond sleepy: structural and functional changes of the default-mode network in idiopathic hypersomnia. Sleep. 2019 10 21; 42(11). Pomares FB, Boucetta S, Lachapelle F, Steffener J, Montplaisir J, Cha J, Kim H, Dang-Vu TT. PMID: 31328786.
      View in: PubMed   Mentions: 3     Fields:    Translation:Humans
    10. Age-Related Differences in Brain Morphology and the Modifiers in Middle-Aged and Older Adults. Cereb Cortex. 2019 09 13; 29(10):4169-4193. Zhao L, Matloff W, Ning K, Kim H, Dinov ID, Toga AW. PMID: 30535294.
      View in: PubMed   Mentions: 9     Fields:    Translation:Humans
    11. The LONI QC System: A Semi-Automated, Web-Based and Freely-Available Environment for the Comprehensive Quality Control of Neuroimaging Data. Front Neuroinform. 2019; 13:60. Kim H, Irimia A, Hobel SM, Pogosyan M, Tang H, Petrosyan P, Blanco REC, Duffy BA, Zhao L, Crawford KL, Liew SL, Clark K, Law M, Mukherjee P, Manley GT, Van Horn JD, Toga AW. PMID: 31555116.
      View in: PubMed   Mentions:
    12. A comparison of automated lesion segmentation approaches for chronic stroke T1-weighted MRI data. Hum Brain Mapp. 2019 11 01; 40(16):4669-4685. Ito KL, Kim H, Liew SL. PMID: 31350795.
      View in: PubMed   Mentions: 8     Fields:    Translation:Humans
    13. Cochlear Implantation in Postlingually Deaf Adults is Time-sensitive Towards Positive Outcome: Prediction using Advanced Machine Learning Techniques. Sci Rep. 2018 12 20; 8(1):18004. Kim H, Kang WS, Park HJ, Lee JY, Park JW, Kim Y, Seo JW, Kwak MY, Kang BC, Yang CJ, Duffy BA, Cho YS, Lee SY, Suh MW, Moon IJ, Ahn JH, Cho YS, Oh SH, Chung JW. PMID: 30573747.
      View in: PubMed   Mentions: 7     Fields:    Translation:Humans
    14. Multi-Template Mesiotemporal Lobe Segmentation: Effects of Surface and Volume Feature Modeling. Front Neuroinform. 2018; 12:39. Kim H, Caldairou B, Bernasconi A, Bernasconi N. PMID: 30050423.
      View in: PubMed   Mentions:
    15. Medical Imaging with Deep Learning (MIDL 2018). Retrospective correction of motion artifact affected structural MRI images using deep learning of simulated motion. 2018; (accepted). . View Publication.
    16. A large, open source dataset of stroke anatomical brain images and manual lesion segmentations. Sci Data. 2018 02 20; 5:180011. Liew SL, Anglin JM, Banks NW, Sondag M, Ito KL, Kim H, Chan J, Ito J, Jung C, Khoshab N, Lefebvre S, Nakamura W, Saldana D, Schmiesing A, Tran C, Vo D, Ard T, Heydari P, Kim B, Aziz-Zadeh L, Cramer SC, Liu J, Soekadar S, Nordvik JE, Westlye LT, Wang J, Winstein C, Yu C, Ai L, Koo B, Craddock RC, Milham M, Lakich M, Pienta A, Stroud A. PMID: 29461514.
      View in: PubMed   Mentions: 20     Fields:    Translation:Humans
    17. Quantitative surface analysis of combined MRI and PET enhances detection of focal cortical dysplasias. Neuroimage. 2018 02 01; 166:10-18. Tan YL, Kim H, Lee S, Tihan T, Ver Hoef L, Mueller SG, Barkovich AJ, Xu D, Knowlton R. PMID: 29097316.
      View in: PubMed   Mentions: 12     Fields:    Translation:Humans
    18. Surface-based morphometry reveals caudate subnuclear structural damage in patients with premotor Huntington disease. Brain Imaging Behav. 2017 Oct; 11(5):1365-1372. Kim H, Kim JH, Possin KL, Winer J, Geschwind MD, Xu D, Hess CP. PMID: 27730480.
      View in: PubMed   Mentions: 3     Fields:    Translation:HumansCells
    19. Surface–wise texture patch analysis of combined MRi andPET to detect MRI-negative focal cortical dysplasias. Med. Image. Comp. Comp. Assist. Interv. 2017; 10433:212-220. Kim H, Tan Y-L, Lee S, Barkovich AJ, Xu D, Knowlton R.
    20. The association between cardiac physiology, acquired brain injury, and postnatal brain growth in critical congenital heart disease. J Thorac Cardiovasc Surg. 2018 01; 155(1):291-300.e3. Peyvandi S, Kim H, Lau J, Barkovich AJ, Campbell A, Miller S, Xu D, McQuillen P. PMID: 28918207.
      View in: PubMed   Mentions: 11     Fields:    Translation:Humans
    21. Early changes in brain structure correlate with language outcomes in children with neonatal encephalopathy. Neuroimage Clin. 2017; 15:572-580. Shapiro KA, Kim H, Mandelli ML, Rogers EE, Gano D, Ferriero DM, Barkovich AJ, Gorno-Tempini ML, Glass HC, Xu D. PMID: 28924555.
      View in: PubMed   Mentions: 7     Fields:    Translation:Humans
    22. Semi-automated Robust Quantification of Lesions (SRQL) Toolbox. Research Ideas and Outcomes. 2017; 3:e13395 . Ito KL, Anglin J, Kim H, Liew S-L.
    23. Egocentric and allocentric visuospatial working memory in premotor Huntington's disease: A double dissociation with caudate and hippocampal volumes. Neuropsychologia. 2017 Jul 01; 101:57-64. Possin KL, Kim H, Geschwind MD, Moskowitz T, Johnson ET, Sha SJ, Apple A, Xu D, Miller BL, Finkbeiner S, Hess CP, Kramer JH. PMID: 28427989.
      View in: PubMed   Mentions: 3     Fields:    Translation:Humans
    24. Morphological alterations in amygdalo-hippocampal substructures in narcolepsy patients with cataplexy. Brain Imaging Behav. 2016 12; 10(4):984-994. Kim H, Suh S, Joo EY, Hong SB. PMID: 26446435.
      View in: PubMed   Mentions: 3     Fields:    Translation:Humans
    25. Multi-template Mesiotemporal Lobe Segmentation: Effects of Surface and Volume Feature Modeling. Neuroinformatics. 2016; in revision. Kim H, Caldairou B, Bernasconi A, Bernasconi N.
    26. Microstructure of the Default Mode Network in Preterm Infants. AJNR Am J Neuroradiol. 2017 Feb; 38(2):343-348. Cui J, Tymofiyeva O, Desikan R, Flynn T, Kim H, Gano D, Hess CP, Ferriero DM, Barkovich AJ, Xu D. PMID: 28059709.
      View in: PubMed   Mentions: 5     Fields:    Translation:Humans
    27. Extensive migration of young neurons into the infant human frontal lobe. Science. 2016 Oct 07; 354(6308). Paredes MF, James D, Gil-Perotin S, Kim H, Cotter JA, Ng C, Sandoval K, Rowitch DH, Xu D, McQuillen PS, Garcia-Verdugo JM, Huang EJ, Alvarez-Buylla A. PMID: 27846470.
      View in: PubMed   Mentions: 70     Fields:    Translation:HumansCells
    28. A Surface Patch-Based Segmentation Method for Hippocampal Subfields. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016. 2016; 9901. Caldairou B, Bernhardt BC, Kulaga-Yoskovitz J, Kim H, Bernasconi N, Bernasconi A .
    29. Brain Injury in the Preterm and Term Neonate. Current Radiology Reports. 2016; 4(39). Ho ML, Patton, AC, DeLong DR, Kim H, Gilbertson JR, Felmlee J, Watson RE.
    30. NEOCIVET: Towards accurate morphometry of neonatal gyrification and clinical applications in preterm newborns. Neuroimage. 2016 Sep; 138:28-42. Kim H, Lepage C, Maheshwary R, Jeon S, Evans AC, Hess CP, Barkovich AJ, Xu D. PMID: 27184202.
      View in: PubMed   Mentions: 15     Fields:    Translation:Humans
    31. Cortical Thinning and Altered Cortico-Cortical Structural Covariance of the Default Mode Network in Patients with Persistent Insomnia Symptoms. Sleep. 2016 Jan 01; 39(1):161-71. Suh S, Kim H, Dang-Vu TT, Joo E, Shin C. PMID: 26414892.
      View in: PubMed   Mentions: 31     Fields:    Translation:Humans
    32. Hindbrain regional growth in preterm newborns and its impairment in relation to brain injury. Hum Brain Mapp. 2016 Feb; 37(2):678-88. Kim H, Gano D, Ho ML, Guo XM, Unzueta A, Hess C, Ferriero DM, Xu D, Barkovich AJ. PMID: 26589992.
      View in: PubMed   Mentions: 7     Fields:    Translation:Humans
    33. Pyruvate to Lactate Metabolic Changes during Neurodevelopment Measured Dynamically Using Hyperpolarized 13C Imaging in Juvenile Murine Brain. Dev Neurosci. 2016; 38(1):34-40. Chen Y, Kim H, Bok R, Sukumar S, Mu X, Sheldon RA, Barkovich AJ, Ferriero DM, Xu D. PMID: 26550989.
      View in: PubMed   Mentions: 9     Fields:    Translation:HumansAnimalsCells
    34. Effects of long-term treatment on brain volume in patients with obstructive sleep apnea syndrome. Hum Brain Mapp. 2016 Jan; 37(1):395-409. Kim H, Joo E, Suh S, Kim JH, Kim ST, Hong SB. PMID: 26503297.
      View in: PubMed   Mentions: 13     Fields:    Translation:Humans
    35. NEOCIVET: Extraction of cortical surface and analysis of neonatal gyrification using a modified CIVET pipeline. Medical Image Computing and Computer-Assisted Intervention. 2015; 9351:571-9. Kim H, Lepage C, Evans AC, Barkovich AJ, Xu D.
    36. Accurate cortical tissue classification on MRI by modeling cortical folding patterns. Hum Brain Mapp. 2015 Sep; 36(9):3563-74. Kim H, Caldairou B, Hwang JW, Mansi T, Hong SJ, Bernasconi N, Bernasconi A. PMID: 26037453.
      View in: PubMed   Mentions: 7     Fields:    Translation:HumansCells
    37. Hippocampal substructural vulnerability to sleep disturbance and cognitive impairment in patients with chronic primary insomnia: magnetic resonance imaging morphometry. Sleep. 2014 Jul 01; 37(7):1189-98. Joo EY, Kim H, Suh S, Hong SB. PMID: 25061247.
      View in: PubMed   Mentions: 59     Fields:    Translation:Humans
    38. Automated detection of cortical dysplasia type II in MRI-negative epilepsy. Neurology. 2014 Jul 01; 83(1):48-55. Hong SJ, Kim H, Schrader D, Bernasconi N, Bernhardt BC, Bernasconi A. PMID: 24898923.
      View in: PubMed   Mentions: 46     Fields:    Translation:Humans
    39. Multivariate hippocampal subfield analysis of local MRI intensity and volume: application to temporal lobe epilepsy. Med Image Comput Comput Assist Interv. 2014; 17(Pt 2):170-8. Kim H, Bernhardt BC, Kulaga-Yoskovitz J, Caldairou B, Bernasconi A, Bernasconi N. PMID: 25485376.
      View in: PubMed   Mentions: 8     Fields:    Translation:Humans
    40. Patterns of subregional mesiotemporal disease progression in temporal lobe epilepsy. Neurology. 2013 Nov 19; 81(21):1840-7. Bernhardt BC, Kim H, Bernasconi N. PMID: 24142475.
      View in: PubMed   Mentions: 31     Fields:    Translation:Humans
    41. Disentangling hippocampal shape anomalies in epilepsy. Front Neurol. 2013; 4:131. Kim H, Mansi T, Bernasconi N. PMID: 24062718.
      View in: PubMed   Mentions:
    42. Spatial patterns of water diffusion along white matter tracts in temporal lobe epilepsy. Neurology. 2012 Jul 31; 79(5):455-62. Concha L, Kim H, Bernasconi A, Bernhardt BC, Bernasconi N. PMID: 22815555.
      View in: PubMed   Mentions: 39     Fields:    Translation:HumansCells
    43. Surface-based multi-template automated hippocampal segmentation: application to temporal lobe epilepsy. Med Image Anal. 2012 Oct; 16(7):1445-55. Kim H, Mansi T, Bernasconi N, Bernasconi A. PMID: 22613821.
      View in: PubMed   Mentions: 8     Fields:    Translation:Humans
    44. Mapping thalamocortical network pathology in temporal lobe epilepsy. Neurology. 2012 Jan 10; 78(2):129-36. Bernhardt BC, Bernasconi N, Kim H, Bernasconi A. PMID: 22205759.
      View in: PubMed   Mentions: 40     Fields:    Translation:Humans
    45. Automatic hippocampal segmentation in temporal lobe epilepsy: impact of developmental abnormalities. Neuroimage. 2012 Feb 15; 59(4):3178-86. Kim H, Chupin M, Colliot O, Bernhardt BC, Bernasconi N, Bernasconi A. PMID: 22155377.
      View in: PubMed   Mentions: 23     Fields:    Translation:Humans
    46. Vertex-wise shape analysis of the hippocampus: disentangling positional differences from volume changes. Med Image Comput Comput Assist Interv. 2011; 14(Pt 2):352-9. Kim H, Mansi T, Bernasconi A, Bernasconi N. PMID: 21995048.
      View in: PubMed   Mentions: 3     Fields:    Translation:Humans
    47. Robust surface-based multi-template automated algorithm to segment healthy and pathological hippocampi. Med Image Comput Comput Assist Interv. 2011; 14(Pt 3):445-53. Kim H, Mansi T, Bernasconi N, Bernasconi A. PMID: 22003730.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    48. Increased temporolimbic cortical folding complexity in temporal lobe epilepsy. Neurology. 2011 Jan 11; 76(2):138-44. Voets NL, Bernhardt BC, Kim H, Yoon U, Bernasconi N. PMID: 21148116.
      View in: PubMed   Mentions: 23     Fields:    Translation:Humans
    49. Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging. Neuroimage. 2009 Oct 01; 47(4):1476-86. Gerardin E, Chételat G, Chupin M, Cuingnet R, Desgranges B, Kim HS, Niethammer M, Dubois B, Lehéricy S, Garnero L, Eustache F, Colliot O, Alzheimer's Disease Neuroimaging Initiative . PMID: 19463957.
      View in: PubMed   Mentions: 98     Fields:    Translation:Humans
    50. Longitudinal and cross-sectional analysis of atrophy in pharmacoresistant temporal lobe epilepsy. Neurology. 2009 May 19; 72(20):1747-54. Hanna RF, Ward TJ, Chow DS, Lagana SM, Moreira RK, Emond JC, Weintraub JL, Prince MR, Bernhardt BC, Worsley KJ, Kim H, Evans AC, Bernasconi A, Bernasconi N. PMID: 19246420.
      View in: PubMed   Mentions: 84     Fields:    Translation:Humans
    51. Temporal lobe epilepsy: differential pattern of damage in temporopolar cortex and white matter. Hum Brain Mapp. 2008 Aug; 29(8):931-44. Sankar T, Bernasconi N, Kim H, Bernasconi A. PMID: 17636561.
      View in: PubMed   Mentions: 9     Fields:    Translation:HumansCells
    52. Basal temporal sulcal morphology in healthy controls and patients with temporal lobe epilepsy. Neurology. 2008 May 27; 70(22 Pt 2):2159-65. Kim H, Bernasconi N, Bernhardt B, Colliot O, Bernasconi A. PMID: 18505994.
      View in: PubMed   Mentions: 11     Fields:    Translation:Humans
    53. Surface-based vector analysis using heat equation interpolation: a new approach to quantify local hippocampal volume changes. Med Image Comput Comput Assist Interv. 2008; 11(Pt 1):1008-15. Kim H, Besson P, Colliot O, Bernasconi A, Bernasconi N. PMID: 18979844.
      View in: PubMed   Mentions: 12     Fields:    Translation:HumansCells
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