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    Ho Sung Kim

    TitleAssistant Professor of Neurology
    SchoolKeck School of Medicine of USC
    DepartmentNeurology
    Address2025 Zonal Avenue
    Health Sciences Campus
    Los Angeles California 90033
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      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 has been recently launched at USC-INI and USC-LONI include mainly two 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 rapidly expands in line with my team's expertise of 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.
      In 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 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 of patients with various diseases and disorders such as stroke, epilepsy, dementia and sleep disorders.


      Collapse Biography 
      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 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.
      List All   |   Timeline
      1. H. Kim^, K.A. Shapiro^, M.L. Mandelli, E.E. Rogers, D. Gano, D.M. Ferriero, A.J. Barkovich, M.L. Gorno-Tempini, H.C. Glass, D. Xuan. Early changes in brain structure correlate with language outcomes in children with neonatal encephalopathy. Neuroimage: Clinical. 2017; 15:572-80.
      2. Possin KL, Kim H, Geschwind MD, Moskowitz T, Johnson ET, Sha SJ, Apple A, Xu D, Miller BL, Finkbeiner S, Hess CP, Kramer JH. Egocentric and allocentric visuospatial working memory in premotor Huntington's disease: A double dissociation with caudate and hippocampal volumes. Neuropsychologia. 2017 Apr 17; 101:57-64. PMID: 28427989.
        View in: PubMed
      3. Kim H, Suh S, Joo EY, Hong SB. Morphological alterations in amygdalo-hippocampal substructures in narcolepsy patients with cataplexy. Brain Imaging Behav. 2016 Dec; 10(4):984-994. PMID: 26446435.
        View in: PubMed
      4. Kim H, Caldairou B, Bernasconi A, Bernasconi N. Multi-template Mesiotemporal Lobe Segmentation: Effects of Surface and Volume Feature Modeling. Neuroinformatics. 2016; in revision.
      5. Cui J, Tymofiyeva O, Desikan R, Flynn T, Kim H, Gano D, Hess CP, Ferriero DM, Barkovich AJ, Xu D. Microstructure of the Default Mode Network in Preterm Infants. AJNR Am J Neuroradiol. 2017 Feb; 38(2):343-348. PMID: 28059709.
        View in: PubMed
      6. Kim H, Kim JH, Possin KL, Winer J, Geschwind MD, Xu D, Hess CP. Surface-based morphometry reveals caudate subnuclear structural damage in patients with premotor Huntington disease. Brain Imaging Behav. 2016 Oct 11. PMID: 27730480.
        View in: PubMed
      7. 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. Extensive migration of young neurons into the infant human frontal lobe. Science. 2016 Oct 7; 354(6308). PMID: 27846470.
        View in: PubMed
      8. Caldairou B, Bernhardt BC, Kulaga-Yoskovitz J, Kim H, Bernasconi N, Bernasconi A . A Surface Patch-Based Segmentation Method for Hippocampal Subfields. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016. 2016; 9901.
      9. Ho ML, Patton, AC, DeLong DR, Kim H, Gilbertson JR, Felmlee J, Watson RE. Brain Injury in the Preterm and Term Neonate. Current Radiology Reports. 2016; 4(39).
      10. Kim H, Lepage C, Maheshwary R, Jeon S, Evans AC, Hess CP, Barkovich AJ, Xu D. NEOCIVET: Towards accurate morphometry of neonatal gyrification and clinical applications in preterm newborns. Neuroimage. 2016 Sep; 138:28-42. PMID: 27184202; PMCID: PMC4982765 [Available on 09/01/17].
      11. Suh S, Kim H, Dang-Vu TT, Joo E, Shin C. 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. PMID: 26414892; PMCID: PMC4678334.
      12. Kim H, Gano D, Ho ML, Guo XM, Unzueta A, Hess C, Ferriero DM, Xu D, Barkovich AJ. Hindbrain regional growth in preterm newborns and its impairment in relation to brain injury. Hum Brain Mapp. 2016 Feb; 37(2):678-88. PMID: 26589992.
        View in: PubMed
      13. Chen Y, Kim H, Bok R, Sukumar S, Mu X, Sheldon RA, Barkovich AJ, Ferriero DM, Xu D. Pyruvate to Lactate Metabolic Changes during Neurodevelopment Measured Dynamically Using Hyperpolarized 13C Imaging in Juvenile Murine Brain. Dev Neurosci. 2016; 38(1):34-40. PMID: 26550989; PMCID: PMC4732911 [Available on 01/01/17].
      14. Kim H, Joo E, Suh S, Kim JH, Kim ST, Hong SB. Effects of long-term treatment on brain volume in patients with obstructive sleep apnea syndrome. Hum Brain Mapp. 2016 Jan; 37(1):395-409. PMID: 26503297; PMCID: PMC4715739 [Available on 01/01/17].
      15. Kim H, Lepage C, Evans AC, Barkovich AJ, Xu D. 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.
      16. Kim H, Caldairou B, Hwang JW, Mansi T, Hong SJ, Bernasconi N, Bernasconi A. Accurate cortical tissue classification on MRI by modeling cortical folding patterns. Hum Brain Mapp. 2015 Sep; 36(9):3563-74. PMID: 26037453.
        View in: PubMed
      17. Joo EY, Kim H, Suh S, Hong SB. 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. PMID: 25061247; PMCID: PMC4098804.
      18. Hong SJ, Kim H, Schrader D, Bernasconi N, Bernhardt BC, Bernasconi A. Automated detection of cortical dysplasia type II in MRI-negative epilepsy. Neurology. 2014 Jul 01; 83(1):48-55. PMID: 24898923; PMCID: PMC4114179.
      19. Kim H, Bernhardt BC, Kulaga-Yoskovitz J, Caldairou B, Bernasconi A, Bernasconi N. 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. PMID: 25485376.
        View in: PubMed
      20. Bernhardt BC, Kim H, Bernasconi N. Patterns of subregional mesiotemporal disease progression in temporal lobe epilepsy. Neurology. 2013 Nov 19; 81(21):1840-7. PMID: 24142475; PMCID: PMC3821710.
      21. Kim H, Mansi T, Bernasconi N. Disentangling hippocampal shape anomalies in epilepsy. Front Neurol. 2013; 4:131. PMID: 24062718; PMCID: PMC3769634.
      22. Concha L, Kim H, Bernasconi A, Bernhardt BC, Bernasconi N. Spatial patterns of water diffusion along white matter tracts in temporal lobe epilepsy. Neurology. 2012 Jul 31; 79(5):455-62. PMID: 22815555; PMCID: PMC3405250.
      23. Kim H, Mansi T, Bernasconi N, Bernasconi A. Surface-based multi-template automated hippocampal segmentation: application to temporal lobe epilepsy. Med Image Anal. 2012 Oct; 16(7):1445-55. PMID: 22613821.
        View in: PubMed
      24. Bernhardt BC, Bernasconi N, Kim H, Bernasconi A. Mapping thalamocortical network pathology in temporal lobe epilepsy. Neurology. 2012 Jan 10; 78(2):129-36. PMID: 22205759.
        View in: PubMed
      25. Kim H, Chupin M, Colliot O, Bernhardt BC, Bernasconi N, Bernasconi A. Automatic hippocampal segmentation in temporal lobe epilepsy: impact of developmental abnormalities. Neuroimage. 2012 Feb 15; 59(4):3178-86. PMID: 22155377.
        View in: PubMed
      26. Kim H, Mansi T, Bernasconi N, Bernasconi A. 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. PMID: 22003730.
        View in: PubMed
      27. Kim H, Mansi T, Bernasconi A, Bernasconi N. 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. PMID: 21995048.
        View in: PubMed
      28. Voets NL, Bernhardt BC, Kim H, Yoon U, Bernasconi N. Increased temporolimbic cortical folding complexity in temporal lobe epilepsy. Neurology. 2011 Jan 11; 76(2):138-44. PMID: 21148116; PMCID: PMC3030232.
      29. Gerardin E, Chételat G, Chupin M, Cuingnet R, Desgranges B, Kim H, Niethammer M, Dubois B, Lehéricy S, Garnero L, Eustache F, Colliot O. 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. PMID: 19463957; PMCID: PMC3001345.
      30. Bernhardt BC, Worsley KJ, Kim H, Evans AC, Bernasconi A, Bernasconi N. Longitudinal and cross-sectional analysis of atrophy in pharmacoresistant temporal lobe epilepsy. Neurology. 2009 May 19; 72(20):1747-54. PMID: 19246420; PMCID: PMC2827310.
      31. Sankar T, Bernasconi N, Kim H, Bernasconi A. Temporal lobe epilepsy: differential pattern of damage in temporopolar cortex and white matter. Hum Brain Mapp. 2008 Aug; 29(8):931-44. PMID: 17636561.
        View in: PubMed
      32. Kim H, Bernasconi N, Bernhardt B, Colliot O, Bernasconi A. Basal temporal sulcal morphology in healthy controls and patients with temporal lobe epilepsy. Neurology. 2008 May 27; 70(22 Pt 2):2159-65. PMID: 18505994.
        View in: PubMed
      33. Kim H, Besson P, Colliot O, Bernasconi A, Bernasconi N. 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. PMID: 18979844.
        View in: PubMed
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