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Kangjoo Lee
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A data-driven sparse GLM for fMRI analysis using sparse dictionary learning with MDL criterion
K Lee, S Tak, JC Ye
IEEE Transactions on Medical Imaging 30 (5), 1076-1089, 2010
2122010
Quantification of CMRO2 without hypercapnia using simultaneous near-infrared spectroscopy and fMRI measurements
S Tak, J Jang, K Lee, JC Ye
Physics in Medicine & Biology 55 (11), 3249, 2010
682010
Sparse SPM: Group Sparse-dictionary learning in SPM framework for resting-state functional connectivity MRI analysis
YB Lee, J Lee, S Tak, K Lee, DL Na, SW Seo, Y Jeong, JC Ye, ...
NeuroImage 125, 1032-1045, 2016
582016
A hitchhiker’s guide to working with large, open-source neuroimaging datasets
C Horien, S Noble, AS Greene, K Lee, DS Barron, S Gao, D O’Connor, ...
Nature human behaviour 5 (2), 185-193, 2021
572021
Disruption, emergence and lateralization of brain network hubs in mesial temporal lobe epilepsy
K Lee, HM Khoo, JM Lina, F Dubeau, J Gotman, C Grova
NeuroImage: Clinical 20, 71-84, 2018
532018
Detection of abnormal resting-state networks in individual patients suffering from focal epilepsy: an initial step toward individual connectivity assessment
CL Dansereau, P Bellec, K Lee, F Pittau, J Gotman, C Grova
Frontiers in neuroscience 8, 111355, 2014
382014
Low-motion fMRI data can be obtained in pediatric participants undergoing a 60-minute scan protocol
C Horien, S Fontenelle IV, K Joseph, N Powell, C Nutor, D Fortes, ...
Scientific reports 10 (1), 21855, 2020
23*2020
Arousal impacts distributed hubs modulating the integration of brain functional connectivity
K Lee, C Horien, D O'Connor, B Garand-Sheridan, F Tokoglu, ...
NeuroImage 258, 119364, 2022
192022
SPARK: Sparsity-based analysis of reliable k-hubness and overlapping network structure in brain functional connectivity
K Lee, JM Lina, J Gotman, C Grova
NeuroImage 134, 434–449, 2016
192016
An altered balance of integrated and segregated brain activity is a marker of cognitive deficits following sleep deprivation
NE Cross, FB Pomares, A Nguyen, AA Perrault, A Jegou, M Uji, K Lee, ...
PLoS biology 19 (11), e3001232, 2021
92021
A protocol for working with open-source neuroimaging datasets
C Horien, K Lee, ML Westwater, S Noble, L Tejavibulya, T Kayani, ...
STAR protocols 3 (1), 101077, 2022
72022
Automatic classification and removal of structured physiological noise for resting state functional connectivity MRI analysis
K Lee, HM Khoo, C Fourcade, J Gotman, C Grova
Magnetic Resonance Imaging 58, 97-107, 2019
72019
Disruption, emergence and lateralization of brain network hubs in mesial temporal lobe epilepsy. Neuroimage Clin. 2018; 20: 71–84
K Lee, HM Khoo, JM Lina, F Dubeau, J Gotman, C Grova
6
Statistical parametric mapping of fMRI data using sparse dictionary learning
K Lee, JC Ye
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2010
42010
Characterization and optimization of a quasi-monolithic detector module with depth-encoding for small animal PET
YH Chung, SJ Lee, CH Baek, KJ Lee, Y Choi
Journal of the Korean Physical Society 54 (1), 244-249, 2009
32009
Sparse dictionary learning for resting-state fmri analysis
K Lee, PK Han, JC Ye
Wavelets and Sparsity XIV 8138, 500-506, 2011
22011
A data-driven fmri analysis using k-svd sparse dictionary learning
K Lee, JC Ye
International Society of Magnetic Resonance in medicine (ISMRM), 2010
22010
Large language models surpass human experts in predicting neuroscience results
X Luo, A Rechardt, G Sun, KK Nejad, F Yáñez, B Yilmaz, K Lee, ...
arXiv preprint arXiv:2403.03230, 2024
12024
Creating Diverse and Inclusive Scientific Practices for Research Datasets and Dissemination
J Kam, AP Badhwar, V Borghesani, K Lee, S Noble, PR Raamana, ...
OSF, 2024
12024
Human brain state dynamics reflect individual neuro-phenotypes
K Lee, JL Ji, C Fonteneau, L Berkovitch, M Rahmati, L Pan, G Repovš, ...
bioRxiv, 2023
12023
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Articles 1–20