| Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging E Gerardin, G Chételat, M Chupin, R Cuingnet, B Desgranges, HS Kim, ... Neuroimage 47 (4), 1476-1486, 2009 | 531 | 2009 |
| Extensive migration of young neurons into the infant human frontal lobe MF Paredes, D James, S Gil-Perotin, H Kim, JA Cotter, C Ng, K Sandoval, ... Science 354 (6308), aaf7073, 2016 | 353 | 2016 |
| Longitudinal and cross-sectional analysis of atrophy in pharmacoresistant temporal lobe epilepsy BC Bernhardt, KJ Worsley, H Kim, AC Evans, A Bernasconi, N Bernasconi Neurology 72 (20), 1747-1754, 2009 | 283 | 2009 |
| A large, open source dataset of stroke anatomical brain images and manual lesion segmentations SL Liew, JM Anglin, NW Banks, M Sondag, KL Ito, H Kim, J Chan, J Ito, ... Scientific data 5 (1), 1-11, 2018 | 261 | 2018 |
| Automated detection of cortical dysplasia type II in MRI-negative epilepsy SJ Hong, H Kim, D Schrader, N Bernasconi, BC Bernhardt, A Bernasconi Neurology 83 (1), 48-55, 2014 | 196 | 2014 |
| Hippocampal substructural vulnerability to sleep disturbance and cognitive impairment in patients with chronic primary insomnia: MRI morphometry H Kim, EY Joo, S Suh, SB Hong Sleep 37 (7), 2014 | 188 | 2014 |
| Spatial patterns of water diffusion along white matter tracts in temporal lobe epilepsy L Concha, H Kim, A Bernasconi, BC Bernhardt, N Bernasconi Neurology 79 (5), 455-462, 2012 | 141 | 2012 |
| Mapping thalamocortical network pathology in temporal lobe epilepsy BC Bernhardt, N Bernasconi, H Kim, A Bernasconi Neurology 78 (2), 129-136, 2012 | 118 | 2012 |
| Patterns of subregional mesiotemporal disease progression in temporal lobe epilepsy H Kim, BC Bernhardt, N Bernasconi Neurology 81 (21), 1840-1847, 2013 | 102 | 2013 |
| A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms SL Liew, BP Lo, MR Donnelly, A Zavaliangos-Petropulu, JN Jeong, ... Scientific data 9 (1), 320, 2022 | 86 | 2022 |
| The association between cardiac physiology, acquired brain injury, and postnatal brain growth in critical congenital heart disease H Kim, S Peyvandi, J Lau, AJ Barkovich, A Campbell, S Miller, D Xu, ... The Journal of thoracic and cardiovascular surgery 155 (1), 291-300. e3, 2018 | 78 | 2018 |
| Style Transfer Using Generative Adversarial Networks for Multi-Site MRI Harmonization M Liu, P Maiti, SI Thomopoulos, A Zhu, Y Chai, H Kim, N Jahanshad Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 …, 2021 | 76 | 2021 |
| Effects of long‐term treatment on brain volume in patients with obstructive sleep apnea syndrome H Kim, EY Joo, S Suh, JH Kim, ST Kim, SB Hong Human brain mapping 37 (1), 395-409, 2016 | 76 | 2016 |
| Age-related differences in brain morphology and the modifiers in middle-aged and older adults L Zhao, W Matloff, K Ning, H Kim, ID Dinov, AW Toga Cerebral Cortex 29 (10), 4169-4193, 2019 | 73 | 2019 |
| The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke SL Liew, A Zavaliangos‐Petropulu, N Jahanshad, CE Lang, KS Hayward, ... Human brain mapping 43 (1), 129-148, 2022 | 72 | 2022 |
| Cortical Thinning and Altered Cortico-Cortical Structural Covariance of the Default Mode Network in Patients with Persistent Insomnia Symptoms. H Kim, S Suh, TT Dang-Vu, E Joo, C Shin Sleep, 2015 | 72 | 2015 |
| Increased temporolimbic cortical folding complexity in temporal lobe epilepsy NL Voets, BC Bernhardt, H Kim, U Yoon, N Bernasconi Neurology 76 (2), 138-144, 2011 | 72 | 2011 |
| Automatic hippocampal segmentation in temporal lobe epilepsy: impact of developmental abnormalities H Kim, M Chupin, O Colliot, BC Bernhardt, N Bernasconi, A Bernasconi Neuroimage 59 (4), 3178-3186, 2012 | 70 | 2012 |
| Quantitative surface analysis of combined MRI and PET enhances detection of focal cortical dysplasias H Kim, YL Tan, S Lee, T Tihan, L Ver Hoef, SG Mueller, AJ Barkovich, ... Neuroimage 166, 10-18, 2018 | 64 | 2018 |
| Retrospective correction of motion artifact affected structural MRI images using deep learning of simulated motion BA Duffy, W Zhang, H Tang, L Zhao, M Law, AW Toga, H Kim Medical Imaging with Deep Learning (MIDL 2018), 2018 | 63 | 2018 |
Duan XuProfessor of Radiology, UCSFEmail verificata su ucsf.edu
