| Inconsistent outcomes of transcranial direct current stimulation may originate from anatomical differences among individuals: electric field simulation using individual MRI data JH Kim, DW Kim, WH Chang, YH Kim, K Kim, CH Im Neuroscience letters 564, 6-10, 2014 | 223 | 2014 |
| COMETS: A MATLAB toolbox for simulating local electric fields generated by transcranial direct current stimulation (tDCS) YJ Jung, JH Kim, CH Im Biomedical engineering letters 3, 39-46, 2013 | 108 | 2013 |
| Representation learning of resting state fMRI with variational autoencoder JH Kim, Y Zhang, K Han, Z Wen, M Choi, Z Liu NeuroImage 241, 118423, 2021 | 59 | 2021 |
| Altered functional connectivity in idiopathic rapid eye movement sleep behavior disorder: a resting-state EEG study JS Sunwoo, S Lee, JH Kim, JA Lim, TJ Kim, JI Byun, MH Jeong, KS Cha, ... Sleep 40 (6), zsx058, 2017 | 53 | 2017 |
| Brain areas responsible for vigilance: an EEG source imaging study JH Kim, DW Kim, CH Im Brain topography 30, 343-351, 2017 | 44 | 2017 |
| Naturalistic stimuli: A paradigm for multiscale functional characterization of the human brain Y Zhang, JH Kim, D Brang, Z Liu Current opinion in biomedical engineering 19, 100298, 2021 | 27 | 2021 |
| An image-guided transcranial direct current stimulation system: a pilot phantom study YJ Jung, JH Kim, D Kim, CH Im Physiological measurement 34 (8), 937, 2013 | 27 | 2013 |
| Inconsistent outcomes of transcranial direct current stimulation (tDCS) may be originated from the anatomical differences among individuals: A simulation study using individual … JH Kim, DW Kim, WH Chang, YH Kim, CH Im 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 20 | 2013 |
| What is the optimal anodal electrode position for inducing corticomotor excitability changes in transcranial direct current stimulation? M Lee, YH Kim, CH Im, JH Kim, C Park, WH Chang, A Lee Neuroscience letters 584, 347-350, 2015 | 18 | 2015 |
| Experience of early-life pain in premature infants is associated with atypical cerebellar development and later neurodevelopmental deficits KM Cook, J De Asis-Cruz, JH Kim, SK Basu, N Andescavage, J Murnick, ... BMC medicine 21 (1), 435, 2023 | 17 | 2023 |
| Gestational age-related changes in the fetal functional connectome: in utero evidence for the global signal JH Kim, J De Asis-Cruz, KM Cook, C Limperopoulos Cerebral Cortex 33 (5), 2302-2314, 2023 | 12 | 2023 |
| Functional connectivity-derived optimal gestational-age cut points for fetal brain network maturity J De Asis-Cruz, SD Barnett, JH Kim, C Limperopoulos Brain sciences 11 (7), 921, 2021 | 12 | 2021 |
| Toward a more informative representation of the fetal–neonatal brain connectome using variational autoencoder JH Kim, J De Asis-Cruz, D Krishnamurthy, C Limperopoulos Elife 12, e80878, 2023 | 10 | 2023 |
| Interhemispheric and intrahemispheric connectivity from the left pars opercularis within the language network is modulated by transcranial stimulation in healthy subjects WK Yoo, M Vernet, JH Kim, AK Brem, S Bashir, F Ifert-Miller, CH Im, ... Frontiers in human neuroscience 14, 63, 2020 | 5 | 2020 |
| Examining the relationship between fetal cortical thickness, gestational age, and maternal psychological distress J De Asis-Cruz, JH Kim, D Krishnamurthy, C Lopez, K Kapse, ... Developmental Cognitive Neuroscience 63, 101282, 2023 | 4 | 2023 |
| Systematic evaluation of head motion on resting‐state functional connectivity MRI in the neonate JH Kim, J De Asis‐Cruz, K Kapse, C Limperopoulos Human Brain Mapping, 2022 | 3 | 2022 |
| Separating group-and individual-level brain signatures in the newborn functional connectome: A deep learning approach JH Kim, J De Asis-Cruz, C Limperopoulos NeuroImage 299, 120806, 2024 | 2 | 2024 |
| Cerebellar volume and functional connectivity in neonates predicts social and emotional development in toddlers JH Kim, K Kapse, C Limperopoulos, J De Asis-Cruz Frontiers in Neuroscience 18, 1294527, 2024 | 2 | 2024 |
| Representational Learning of fMRI Data Using Variational Autoencoder JH Kim Purdue University Graduate School, 2021 | 1 | 2021 |
| Deep-learning based Embedding of Functional Connectivity Profiles for Precision Functional Mapping J Tu, JH Kim, PH Luckett, B Adeyemo, JS Shimony, JT Elison, ... bioRxiv, 2025.01. 29.635570, 2025 | | 2025 |
Chang-Hwan ImDepartment of Biomedical Engineering, Hanyang University, Seoul, Korea確認したメール アドレス: hanyang.ac.kr
