Seung-Schik Yoo - researchr alias

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Viewing Publication 1 - 27 from 27

2023

Multivariable-incorporating super-resolution residual network for transcranial focused ultrasound simulationMinWoo Shin, Zhuogang Peng, Hyo-Jin Kim, Seung-Schik Yoo, KyungHo Yoon. cmpb, 237:107591, July 2023. [doi]

2022

Deep Neural Network for Navigation of a Single-Element Transducer During Transcranial Focused Ultrasound Therapy: Proof of ConceptMinwook Choi, Minyeong Jang, Seung-Schik Yoo, Gunwoo Noh, KyungHo Yoon. titb, 26(11):5653-5664, 2022. [doi]

2019

Mediation analysis of triple networks revealed functional feature of mindfulness from real-time fMRI neurofeedbackHyun-Chul Kim, Marion Tegethoff, Gunther Meinlschmidt, Esther Stalujanis, Angelo Belardi, Sungman Jo, Juhyeon Lee, Dong-Youl Kim, Seung-Schik Yoo, Jong-Hwan Lee. neuroimage, 195:409-432, 2019. [doi]

2018

Focused ultrasound brain stimulation to anesthetized rats induces long-term changes in somatosensory evoked potentialsSeung-Schik Yoo, KyungHo Yoon, Phillip Croce, Amanda Cammalleri, Ryan W. Margolin, Wonhye Lee. imst, 28(2):106-112, 2018. [doi]

2015

Recursive approach of EEG-segment-based principal component analysis substantially reduces cryogenic pump artifacts in simultaneous EEG-fMRI dataHyun-Chul Kim, Seung-Schik Yoo, Jong-Hwan Lee. neuroimage, 104:437-451, 2015. [doi]

The Inclusion of Functional Connectivity Information into fMRI-based Neurofeedback Improves Its Efficacy in the Reduction of Cigarette CravingsDong-Youl Kim, Seung-Schik Yoo, Marion Tegethoff, Gunther Meinlschmidt, Jong-Hwan Lee. jocn, 27(8):1552-1572, 2015. [doi]

2014

2012

Image-guided navigation of single-element focused ultrasound transducerHyungmin Kim, Alan Chiu, Shinsuk Park, Seung-Schik Yoo. imst, 22(3):177-184, 2012. [doi]

2011

2010

The Unrested Resting Brain: Sleep Deprivation Alters Activity within the Default-mode NetworkNinad Gujar, Seung-Schik Yoo, Peter Hu, Matthew P. Walker. jocn, 22(8):1637-1648, 2010. [doi]

Mind reading: An automated classification of thought processes from imagery fMRI dataJong-Hwan Lee, Matthew Marzelli, Ferenc A. Jolesz, Seung-Schik Yoo. icmlc 2010: 3174-3179 [doi]

2009

Automated classification of fMRI data employing trial-based imagery tasksJong-Hwan Lee, Matthew Marzelli, Ferenc A. Jolesz, Seung-Schik Yoo. mia, 13(3):392-404, 2009. [doi]

2008

Independent vector analysis (IVA): Multivariate approach for fMRI group studyJong-Hwan Lee, Te-Won Lee, Ferenc A. Jolesz, Seung-Schik Yoo. neuroimage, 40(1):86-109, 2008. [doi]

Independent vector analysis (IVA) for group fMRI processing of subcortical areaJong-Hwan Lee, Te-Won Lee, Ferenc A. Jolesz, Seung-Schik Yoo. imst, 18(1):29-41, 2008. [doi]

Composite MR contrast agents for conditional cell-labelingMatthew Marzelli, Krisztina Fischer, Young Beom Kim, Robert V. Mulkern, Seung-Schik Yoo, HyunWook Park, Zang Hee Cho. imst, 18(1):79-84, 2008. [doi]

Guest editorial: Special issue on human brain imagingHyunWook Park, Seung-Schik Yoo. imst, 18(1):1, 2008. [doi]

Neurofeedback fMRI-mediated learning and consolidation of regional brain activation during motor imagerySeung-Schik Yoo, Jong-Hwan Lee, Heather O'Leary, Lawrence P. Panych, Ferenc A. Jolesz. imst, 18(1):69-78, 2008. [doi]

2007

Multivariate Analysis of fMRI Group Data Using Independent Vector AnalysisJong-Hwan Lee, Te-Won Lee, Ferenc A. Jolesz, Seung-Schik Yoo. ica 2007: 633-640 [doi]

2004

Functional MRI of auditory verbal working memory: long-term reproducibility analysisXingchang Wei, Seung-Schik Yoo, Chandlee C. Dickey, Kelly H. Zou, Charles R. G. Guttmann, Lawrence P. Panych. neuroimage, 21(3):1000-1008, 2004. [doi]

Modulation of cerebellar activities by acupuncture stimulation: evidence from fMRI studySeung-Schik Yoo, Eng-Keat Teh, Russell A. Blinder, Ferenc A. Jolesz. neuroimage, 22(2):932-940, 2004. [doi]

2003

2001

Multiresolution Data Acquisition and Detection in Functional MRISeung-Schik Yoo, Charles R. G. Guttmann, Lawrence P. Panych. neuroimage, 14(6):1476-1485, 2001. [doi]

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