Faculty

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Ho Sung Kim
Assistant Professor of Neurology
Neurology
2025 Zonal Avenue Health Sciences Campus Los Angeles

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.

Awards

Baxter Foundation: Donald E. and Delia B. Baxter Foundation Faculty Fellowship Award, 2017-2018

ISMRM 24th Annual Meeting & Exhibition: Young Investigator / Trainee Stipends Award, 2016

Canadian Institutes of Health Research: Banting Postdoctoral Fellowships, 2015-2017

Fonds de la recherche en sante/ Health Research Funds in Quebec (FRSQ): Post-doctoral fellowship, 2014-2016

Sleep: Sleep Research Society Abstract Excellence Award, 2013

10th Annual Meeting of Korean Sleep Research Society: Best Poster presentation award, 2013

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2011): Student Travel Award, 2011

American Epilepsy Society (AES 2011): Young Investigator Travel Award , 2011

American Epilepsy Society (AES 2010): Young Investigator Travel Award , 2010

Fonds de la recherche en santé / Health Research Funds in Quebec (FRSQ) : Doctoral Training Awards , 2009-2010

McGill University: Fellowship for returning graduate students , 2007

Hanyang University: Excellent Student Scholarship , 1998-2000

Publications

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. View in: PubMed

Microstructure of the Default Mode Network in Preterm Infants. AJNR Am J Neuroradiol. 2017 Feb; 38(2):343-348. View in: PubMed

Early changes in brain structure correlate with language outcomes in children with neonatal encephalopathy. Neuroimage: Clinical. 2017; 15:572-80. View in: PubMed

Morphological alterations in amygdalo-hippocampal substructures in narcolepsy patients with cataplexy. Brain Imaging Behav. 2016 Dec; 10(4):984-994. View in: PubMed

Surface-based morphometry reveals caudate subnuclear structural damage in patients with premotor Huntington disease. Brain Imaging Behav. 2016 Oct 11. View in: PubMed

Extensive migration of young neurons into the infant human frontal lobe. Science. 2016 Oct 7; 354(6308). View in: PubMed

NEOCIVET: Towards accurate morphometry of neonatal gyrification and clinical applications in preterm newborns. Neuroimage. 2016 Sep; 138:28-42. View in: PubMed

Hindbrain regional growth in preterm newborns and its impairment in relation to brain injury. Hum Brain Mapp. 2016 Feb; 37(2):678-88. View in: PubMed

Multi-template Mesiotemporal Lobe Segmentation: Effects of Surface and Volume Feature Modeling. Neuroinformatics. 2016; in revision. View in: PubMed

Brain Injury in the Preterm and Term Neonate. Current Radiology Reports. 2016; 4(39). View in: PubMed

A Surface Patch-Based Segmentation Method for Hippocampal Subfields. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016. 2016; 9901. View in: PubMed

Pyruvate to Lactate Metabolic Changes during Neurodevelopment Measured Dynamically Using Hyperpolarized 13C Imaging in Juvenile Murine Brain. Dev Neurosci. 2016; 38(1):34-40. View in: PubMed

Effects of long-term treatment on brain volume in patients with obstructive sleep apnea syndrome. Hum Brain Mapp. 2016 Jan; 37(1):395-409. View in: PubMed

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. View in: PubMed

Accurate cortical tissue classification on MRI by modeling cortical folding patterns. Hum Brain Mapp. 2015 Sep; 36(9):3563-74. View in: PubMed

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. View in: PubMed

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. View in: PubMed

Automated detection of cortical dysplasia type II in MRI-negative epilepsy. Neurology. 2014 Jul 01; 83(1):48-55. View in: PubMed

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. View in: PubMed

Patterns of subregional mesiotemporal disease progression in temporal lobe epilepsy. Neurology. 2013 Nov 19; 81(21):1840-7. View in: PubMed

Disentangling hippocampal shape anomalies in epilepsy. Front Neurol. 2013; 4:131. View in: PubMed

Surface-based multi-template automated hippocampal segmentation: application to temporal lobe epilepsy. Med Image Anal. 2012 Oct; 16(7):1445-55. View in: PubMed

Spatial patterns of water diffusion along white matter tracts in temporal lobe epilepsy. Neurology. 2012 Jul 31; 79(5):455-62. View in: PubMed

Automatic hippocampal segmentation in temporal lobe epilepsy: impact of developmental abnormalities. Neuroimage. 2012 Feb 15; 59(4):3178-86. View in: PubMed

Mapping thalamocortical network pathology in temporal lobe epilepsy. Neurology. 2012 Jan 10; 78(2):129-36. View in: PubMed

Increased temporolimbic cortical folding complexity in temporal lobe epilepsy. Neurology. 2011 Jan 11; 76(2):138-44. View in: PubMed

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. View in: PubMed

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. View in: PubMed

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. View in: PubMed

Longitudinal and cross-sectional analysis of atrophy in pharmacoresistant temporal lobe epilepsy. Neurology. 2009 May 19; 72(20):1747-54. View in: PubMed

Temporal lobe epilepsy: differential pattern of damage in temporopolar cortex and white matter. Hum Brain Mapp. 2008 Aug; 29(8):931-44. View in: PubMed

Basal temporal sulcal morphology in healthy controls and patients with temporal lobe epilepsy. Neurology. 2008 May 27; 70(22 Pt 2):2159-65. View in: PubMed

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. View in: PubMed

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