Ho Kim, PhD
Employee of Affiliated Org.
Radiology
School of Medicine

In the fields of medical image processing and analysis, I have studied on multi-spectral 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. I also applied various 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. Here in UCSF radiology, I continue to expand aforementioned techniques to the analysis of fetal/neonatal brain MRIs, which has been challenged by tissue intensity variability, low tissue contrast, small brain size, moving artifact and etc.

• Effects of long-term treatment on brain volume in patients with obstructive sleep apnea syndrome.
  Human brain mapping 2015 Kim H, Joo E, Suh S, Kim JH, Kim ST, Hong SB
• NEOCIVET: Extraction of cortical surface and analysis of neonatal gyrification using a modified CIVET pipeline
  Medical Image Computing and Computer-Assisted Intervention 2015 Kim H, Lepage C, Evans AC, Barkovich AJ, Xu D
• Cortical Thinning and Altered Cortico-Cortical Structural Covariance of the Default Mode Network in Patients with Persistent Insomnia Symptoms
  Sleep 2015 Kim H*, Suh S*, Dang-Vu TT, Joo E, Shin C
• Accurate cortical tissue classification on MRI by modeling cortical folding patterns.
  Human brain mapping 2015 Kim H, Caldairou B, Hwang JW, Mansi T, Hong SJ, Bernasconi N, Bernasconi A
• Multivariate Hippocampal Subfield Analysis of Local MRI Intensity and Volume: Application to Temporal Lobe Epilepsy
  Medical Image Computing and Computer-Assisted Intervention 2014 Kim H, Bernhardt BC, Kulaga-Yoskovitz J, Caldairou B, Bernasconi B, Bernasconi N
• Automated detection of cortical dysplasia type II in MRI-negative epilepsy.
  Neurology 2014 Hong SJ, Kim H, Schrader D, Bernasconi N, Bernhardt BC, Bernasconi A
• Subfield specific vulnerability of the hippocampus to sleep disturbance and cognitive impairment in patients with chronic primary insomnia: MR local volumetry
  Sleep 2014 Kim H*, Joo EY*, Suh S, Hong SB
• Patterns of subregional mesiotemporal disease progression in temporal lobe epilepsy. Neurology
  Neurology 2013 Kim H*, Bernhardt BC*, Bernasconi N
• Disentangling hippocampal shape anomalies in epilepsy.
  Frontiers in neurology 2013 Kim H, Mansi T, Bernasconi N
• Spatial patterns of water diffusion along white matter tracts in temporal lobe epilepsy.
  Neurology 2012 Concha L, Kim H, Bernasconi A, Bernhardt BC, Bernasconi N
• Surface-based multi-template automated hippocampal segmentation: application to temporal lobe epilepsy.
  Medical image analysis 2012 Kim H, Mansi T, Bernasconi N, Bernasconi A
• Mapping thalamocortical network pathology in temporal lobe epilepsy.
  Neurology 2011 Bernhardt BC, Bernasconi N, Kim H, Bernasconi A
• Automatic hippocampal segmentation in temporal lobe epilepsy: impact of developmental abnormalities.
  NeuroImage 2011 Kim H, Chupin M, Colliot O, Bernhardt BC, Bernasconi N, Bernasconi A
• Robust surface-based multi-template automated algorithm to segment healthy and pathological hippocampi.
  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention 2011 Kim H, Mansi T, Bernasconi N, Bernasconi A
• Vertex-wise shape analysis of the hippocampus: disentangling positional differences from volume changes.
  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention 2011 Kim H, Mansi T, Bernasconi A, Bernasconi N
• Increased temporolimbic cortical folding complexity in temporal lobe epilepsy.
  Neurology 2010 Voets NL, Bernhardt BC, Kim H, Yoon U, Bernasconi N
• Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging.
  NeuroImage 2009 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
• Longitudinal and cross-sectional analysis of atrophy in pharmacoresistant temporal lobe epilepsy.
  Neurology 2009 Bernhardt BC, Worsley KJ, Kim H, Evans AC, Bernasconi A, Bernasconi N
• Temporal lobe epilepsy: differential pattern of damage in temporopolar cortex and white matter.
  Human brain mapping 2008 Sankar T, Bernasconi N, Kim H, Bernasconi A
• Basal temporal sulcal morphology in healthy controls and patients with temporal lobe epilepsy.
  Neurology 2008 Kim H, Bernasconi N, Bernhardt B, Colliot O, Bernasconi A
• Surface-based vector analysis using heat equation interpolation: a new approach to quantify local hippocampal volume changes.
  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention 2008 Kim H, Besson P, Colliot O, Bernasconi A, Bernasconi N
• ECG Acquisition and Management System for Knowledge Discovery in Database: Data Modeling, Design, and Implementation
  Medical Data Analysis 2002 Y. Cho, H. Kim, M.J. Jeon, D. Kang, H. Choi, J.M. Lee, I.Y. Kim, S.I. Kim