مقالات بحثية تمّ التفويض بإتاحتها للجميع - Jong-Hwan Leeمزيد من المعلومات
عدد المقالات البحثية غير المتاحة للجميع في أي موقع: 1
Mind reading: An automated classification of thought processes from imagery fMRI data
JH Lee, M Marzelli, FA Jolesz, SS Yoo
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on 6 …, 2010
التفويضات: US National Institutes of Health
عدد المقالات البحثية المتاحة للجميع في موقع ما: 21
Focused ultrasound modulates region-specific brain activity
SS Yoo, A Bystritsky, JH Lee, Y Zhang, K Fischer, BK Min, NJ McDannold, ...
Neuroimage 56 (3), 1267-1275, 2011
التفويضات: US National Institutes of Health
Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting …
J Kim, VD Calhoun, E Shim, JH Lee
Neuroimage 124, 127-146, 2016
التفويضات: US National Institutes of Health
Brain–machine interface via real-time fMRI: preliminary study on thought-controlled robotic arm
JH Lee, J Ryu, FA Jolesz, ZH Cho, SS Yoo
Neuroscience letters 450 (1), 1-6, 2009
التفويضات: US National Institutes of Health
Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasks
H Jang, SM Plis, VD Calhoun, JH Lee
NeuroImage 145, 314-328, 2017
التفويضات: US National Science Foundation, US National Institutes of Health
Neurofeedback fMRI‐mediated learning and consolidation of regional brain activation during motor imagery
SS Yoo, JH Lee, H O'Leary, LP Panych, FA Jolesz
International journal of imaging systems and technology 18 (1), 69-78, 2008
التفويضات: US National Institutes of Health
The inclusion of functional connectivity information into fMRI-based neurofeedback improves its efficacy in the reduction of cigarette cravings
DY Kim, SS Yoo, M Tegethoff, G Meinlschmidt, JH Lee
Journal of cognitive neuroscience 27 (8), 1552-1572, 2015
التفويضات: Swiss National Science Foundation
Stress response circuitry hypoactivation related to hormonal dysfunction in women with major depression
LM Holsen, SB Spaeth, JH Lee, LA Ogden, A Klibanski, ...
Journal of Affective Disorders 131 (1-3), 379-387, 2011
التفويضات: US National Institutes of Health
Smartphone-based psychotherapeutic micro-interventions to improve mood in a real-world setting
G Meinlschmidt, JH Lee, E Stalujanis, A Belardi, M Oh, EK Jung, HC Kim, ...
Frontiers in psychology 7, 1112, 2016
التفويضات: Swiss National Science Foundation
Brain hypoactivation, autonomic nervous system dysregulation, and gonadal hormones in depression: a preliminary study
LM Holsen, JH Lee, SB Spaeth, LA Ogden, A Klibanski, ...
Neuroscience Letters, 2012
التفويضات: US National Institutes of Health
Can we predict real‐time fMRI neurofeedback learning success from pretraining brain activity?
A Haugg, R Sladky, S Skouras, A McDonald, C Craddock, M Kirschner, ...
Human brain mapping 41 (14), 3839-3854, 2020
التفويضات: Swiss National Science Foundation, US National Institutes of Health, UK …
Predictors of real-time fMRI neurofeedback performance and improvement–a machine learning mega-analysis
A Haugg, FM Renz, AA Nicholson, C Lor, SJ Götzendorfer, R Sladky, ...
Neuroimage 237, 118207, 2021
التفويضات: Swiss National Science Foundation, German Research Foundation, European …
Automated classification of fMRI data employing trial-based imagery tasks
JH Lee, M Marzelli, FA Jolesz, SS Yoo
Medical image analysis 13 (3), 392-404, 2009
التفويضات: US National Institutes of Health
Personalized prediction of smartphone-based psychotherapeutic micro-intervention success using machine learning
G Meinlschmidt, M Tegethoff, A Belardi, E Stalujanis, M Oh, EK Jung, ...
Journal of affective disorders 264, 430-437, 2020
التفويضات: Swiss National Science Foundation
Application of independent component analysis for the data mining of simultaneous EEG–fMRI: preliminary experience on sleep onset
JH Lee, S Oh, FA Jolesz, H Park, SS Yoo
International Journal of Neuroscience 119 (8), 1118-1136, 2009
التفويضات: US National Institutes of Health
Visual perceptual learning modulates decision network in the human brain: The evidence from psychophysics, modeling, and functional magnetic resonance imaging
K Jia, X Xue, JH Lee, F Fang, J Zhang, S Li
Journal of Vision 18 (12), 9-9, 2018
التفويضات: Chinese Academy of Sciences, National Natural Science Foundation of China …
Multiphysics neuron model for cellular volume dynamics
J Lee, DA Boas, SJ Kim
IEEE Transactions on Biomedical Engineering 58 (10), 3000-3003, 2011
التفويضات: US National Institutes of Health
Independent vector analysis (IVA) for group fMRI processing of subcortical area
JH Lee, TW Lee, FA Jolesz, SS Yoo
International journal of imaging systems and technology 18 (1), 29-41, 2008
التفويضات: US National Institutes of Health
Deep learning methods and applications in neuroimaging
J Sui, MX Liu, JH Lee, J Zhang, V Calhoun
Journal of neuroscience methods 339, 108718, 2020
التفويضات: US National Institutes of Health, Chinese Academy of Sciences, National …
Determinants of real-time fMRI neurofeedback performance and improvement–a machine learning mega-analysis
A Haugg, FM Renz, AA Nicholson, C Lor, SJ Götzendorfer, R Sladky, ...
bioRxiv, 2020.10. 21.349118, 2020
التفويضات: Swiss National Science Foundation
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