Year |
Citation |
Score |
2018 |
Lee D, Yoo J, Tak S, Ye J. Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks. Ieee Transactions On Bio-Medical Engineering. PMID 29993390 DOI: 10.1109/Tbme.2018.2821699 |
0.334 |
|
2018 |
Tak S, Noh J, Cheong C, Zeidman P, Razi A, Penny WD, Friston KJ. A Validation of Dynamic Causal Modelling for 7T fMRI. Journal of Neuroscience Methods. PMID 29758234 DOI: 10.1016/J.Jneumeth.2018.05.002 |
0.316 |
|
2018 |
Bulgarelli C, Blasi A, Arridge S, Powell S, de Klerk C, Southgate V, Brigadoi S, Penny W, Tak S, Hamilton A. Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS-fMRI dataset. Neuroimage. PMID 29655936 DOI: 10.1016/J.Neuroimage.2018.04.022 |
0.35 |
|
2017 |
Jung K, Friston KJ, Pae C, Choi H, Tak S, Choi YK, Park B, Park CA, Cheong C, Park HJ. Effective connectivity during working memory and resting states: A DCM study. Neuroimage. PMID 29284140 DOI: 10.1016/J.Neuroimage.2017.12.067 |
0.326 |
|
2015 |
Lee YB, Lee J, Tak S, Lee K, Na DL, Seo S, Jeong Y, Ye JC. Sparse SPM: Sparse-Dictionary Learning for Resting-state Functional Connectivity MRI Analysis. Neuroimage. PMID 26524138 DOI: 10.1016/J.Neuroimage.2015.10.081 |
0.416 |
|
2015 |
Lee O, Tak S, Ye JC. A Unified Sparse Recovery and Inference Framework for Functional Diffuse Optical Tomography using Random Effect Model. Ieee Transactions On Medical Imaging. PMID 25730826 DOI: 10.1109/Tmi.2015.2407891 |
0.387 |
|
2015 |
Tak S, Kempny AM, Friston KJ, Leff AP, Penny WD. Dynamic causal modelling for functional near-infrared spectroscopy. Neuroimage. 111: 338-49. PMID 25724757 DOI: 10.1016/J.Neuroimage.2015.02.035 |
0.372 |
|
2015 |
Tak S, Polimeni JR, Wang DJ, Yan L, Chen JJ. Associations of resting-state fMRI functional connectivity with flow-BOLD coupling and regional vasculature. Brain Connectivity. 5: 137-46. PMID 25384681 DOI: 10.1089/Brain.2014.0299 |
0.451 |
|
2014 |
Tak S, Wang DJ, Polimeni JR, Yan L, Chen JJ. Dynamic and static contributions of the cerebrovasculature to the resting-state BOLD signal. Neuroimage. 84: 672-80. PMID 24099842 DOI: 10.1016/J.Neuroimage.2013.09.057 |
0.455 |
|
2014 |
Tak S, Ye JC. Statistical analysis of fNIRS data: a comprehensive review. Neuroimage. 85: 72-91. PMID 23774396 DOI: 10.1016/J.Neuroimage.2013.06.016 |
0.447 |
|
2014 |
Tak S, Wang DJ, Polimeni JR, Yan L, Chen JJ. Contribution of neurovascular factors to resting-state fMRI functional connectivity F1000research. 5. DOI: 10.7490/F1000Research.1096498.1 |
0.362 |
|
2012 |
Li H, Tak S, Ye JC. Lipschitz-Killing curvature based expected Euler characteristics for p-value correction in fNIRS. Journal of Neuroscience Methods. 204: 61-7. PMID 22074819 DOI: 10.1016/J.Jneumeth.2011.10.016 |
0.382 |
|
2012 |
Lee OK, Li H, Tak SH, Ye JC. Compressed sensing reconstruction of statistical parameter map for functional diffuse optical tomography Proceedings - International Symposium On Biomedical Imaging. 94-97. DOI: 10.1109/ISBI.2012.6235492 |
0.303 |
|
2011 |
Lee K, Tak S, Ye JC. A data-driven sparse GLM for fMRI analysis using sparse dictionary learning with MDL criterion. Ieee Transactions On Medical Imaging. 30: 1076-89. PMID 21138799 DOI: 10.1109/Tmi.2010.2097275 |
0.437 |
|
2011 |
Tak S, Yoon SJ, Jang J, Yoo K, Jeong Y, Ye JC. Quantitative analysis of hemodynamic and metabolic changes in subcortical vascular dementia using simultaneous near-infrared spectroscopy and fMRI measurements. Neuroimage. 55: 176-84. PMID 21094685 DOI: 10.1016/J.Neuroimage.2010.11.046 |
0.319 |
|
2011 |
Lee K, Tak S, Ye JC. A data-driven spatially adaptive sparse generalized linear model for functional MRI analysis Proceedings - International Symposium On Biomedical Imaging. 1027-1030. DOI: 10.1109/ISBI.2011.5872576 |
0.336 |
|
2010 |
Tak S, Jang J, Lee K, Ye JC. Quantification of CMRO(2) without hypercapnia using simultaneous near-infrared spectroscopy and fMRI measurements. Physics in Medicine and Biology. 55: 3249-69. PMID 20479515 DOI: 10.1088/0031-9155/55/11/017 |
0.406 |
|
2009 |
Jang KE, Tak S, Jung J, Jang J, Jeong Y, Ye JC. Wavelet minimum description length detrending for near-infrared spectroscopy. Journal of Biomedical Optics. 14: 034004. PMID 19566297 DOI: 10.1117/1.3127204 |
0.419 |
|
2009 |
Ye JC, Tak S, Jang KE, Jung J, Jang J. NIRS-SPM: statistical parametric mapping for near-infrared spectroscopy. Neuroimage. 44: 428-47. PMID 18848897 DOI: 10.1016/J.Neuroimage.2008.08.036 |
0.435 |
|
2008 |
Jang KE, Tak S, Jang J, Jung J, Ye JC. Wavelet-MDL based detrending method for near infrared spectroscopy (NIRS) Proceedings of Spie. 6850. DOI: 10.1117/12.764141 |
0.417 |
|
2008 |
Tak S, Jang KE, Jung J, Jang J, Jeong Y, Ye JC. NIRS-SPM: statistical parametric mapping for near infrared spectroscopy Proceedings of Spie. 6850: 6850. DOI: 10.1117/12.762291 |
0.411 |
|
2008 |
Tak S, Jang KE, Jung J, Jang J, Jong CY. General linear model and inference for near infrared spectroscopy using global confidence region analysis 2008 5th Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Proceedings, Isbi. 476-479. DOI: 10.1109/ISBI.2008.4541036 |
0.32 |
|
2007 |
Ye JC, Tak S, Han Y, Park HW. Projection reconstruction MR imaging using FOCUSS. Magnetic Resonance in Medicine. 57: 764-75. PMID 17390360 DOI: 10.1002/Mrm.21202 |
0.31 |
|
Low-probability matches (unlikely to be authored by this person) |
2016 |
Tak S, Uga M, Flandin G, Dan I, Penny WD. Sensor space group analysis for fNIRS data. Journal of Neuroscience Methods. 264: 103-12. PMID 26952847 DOI: 10.1016/J.Jneumeth.2016.03.003 |
0.291 |
|
2022 |
Kim M, Lee S, Dan I, Tak S. A deep convolutional neural network for estimating hemodynamic response function with reduction of motion artifacts in fNIRS. Journal of Neural Engineering. PMID 35038682 DOI: 10.1088/1741-2552/ac4bfc |
0.275 |
|
2020 |
Lee S, Kim J, Tak S. Effects of Autonomous Sensory Meridian Response on the Functional Connectivity as Measured by Functional Magnetic Resonance Imaging. Frontiers in Behavioral Neuroscience. 14: 154. PMID 33192358 DOI: 10.3389/fnbeh.2020.00154 |
0.263 |
|
2019 |
Lee YJ, Moon HC, Tak S, Cheong C, Park YS. Atrophic Changes and Diffusion Abnormalities of Affected Trigeminal Nerves in Trigeminal Neuralgia Using 7-T MRI. Stereotactic and Functional Neurosurgery. 1-7. PMID 31537003 DOI: 10.1159/000502222 |
0.26 |
|
2023 |
Chu T, Lee S, Jung IY, Song Y, Kim HA, Shin JW, Tak S. Task-residual effective connectivity of motor network in transient ischemic attack. Communications Biology. 6: 843. PMID 37580508 DOI: 10.1038/s42003-023-05212-3 |
0.195 |
|
2021 |
Yücel MA, Lühmann AV, Scholkmann F, Gervain J, Dan I, Ayaz H, Boas D, Cooper RJ, Culver J, Elwell CE, Eggebrecht A, Franceschini MA, Grova C, Homae F, Lesage F, ... ... Tak S, et al. Best practices for fNIRS publications. Neurophotonics. 8: 012101. PMID 33442557 DOI: 10.1117/1.NPh.8.1.012101 |
0.177 |
|
2024 |
Tak S, Han G, Leem SH, Lee SY, Paek K, Kim JA. Prediction of anticancer drug resistance using a 3D microfluidic bladder cancer model combined with convolutional neural network-based image analysis. Frontiers in Bioengineering and Biotechnology. 11: 1302983. PMID 38268938 DOI: 10.3389/fbioe.2023.1302983 |
0.12 |
|
2008 |
Sang HL, Jong HK, Jeong SP, Jung MC, Sang JP, Yun SJ, Tak S, Woo KM. Texture analysis of lesion perfusion volumes in dynamic contrast-enhanced breast MRI 2008 5th Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Proceedings, Isbi. 1545-1548. DOI: 10.1109/ISBI.2008.4541304 |
0.099 |
|
2021 |
Tak S, Lee S, Park CA, Cheong EN, Seok JW, Sohn JH, Cheong C. Altered Effective Connectivity within the Fronto-Limbic Circuitry in Response to Negative Emotional Task in Female Patients with Major Depressive Disorder. Brain Connectivity. PMID 33403894 DOI: 10.1089/brain.2020.0859 |
0.091 |
|
2016 |
Tak S, Uga M, Flandin G, Dan I, Penny WD. Sensor space group analysis for fNIRS data Journal of Neuroscience Methods. 264: 103-112. DOI: 10.1016/j.jneumeth.2016.03.003 |
0.09 |
|
2023 |
Song Y, Cho JH, Kim H, Eum YJ, Cheong EN, Choi S, Park JH, Tak S, Park B, Sohn JH, Cho G, Cheong C. Association between taurine level in the hippocampus and major depressive disorder in young women: a proton magnetic resonance spectroscopy study at 7 Tesla. Biological Psychiatry. PMID 37678539 DOI: 10.1016/j.biopsych.2023.08.025 |
0.084 |
|
2024 |
Kim MK, Park J, Tak S, Paek K, Bang G, Woo SM, Ravichandran NK, Hong WG, Kang HW, Kim H, Bae JY, Kim JA. A long-term storable gel-laden chip composite built in a multi-well plate enablingcell encapsulation for high-throughput liver model. Biofabrication. 16. PMID 38390723 DOI: 10.1088/1758-5090/ad28ef |
0.078 |
|
2022 |
Paek K, Kim S, Tak S, Kim MK, Park J, Chung S, Park TH, Kim JA. A high-throughput biomimetic bone-on-a-chip platform with artificial intelligence-assisted image analysis for osteoporosis drug testing. Bioengineering & Translational Medicine. 8: e10313. PMID 36684077 DOI: 10.1002/btm2.10313 |
0.075 |
|
2023 |
Choi J, Tak S, Jung HM, Cha S, Hwang E, Lee D, Lee JH, Ryu KS, Park C. Kinetic evidence in favor of glyoxalase III and against deglycase activity of DJ-1. Protein Science : a Publication of the Protein Society. e4641. PMID 37060572 DOI: 10.1002/pro.4641 |
0.056 |
|
2021 |
Yücel MA, Lühmann AV, Scholkmann F, Gervain J, Dan I, Ayaz H, Boas D, Cooper RJ, Culver J, Elwell CE, Eggebrecht A, Franceschini MA, Grova C, Homae F, Lesage F, ... ... Tak S, et al. Errata: Best practices for fNIRS publications. Neurophotonics. 8: 019802. PMID 33575435 DOI: 10.1117/1.NPh.8.1.019802 |
0.045 |
|
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