Search Results - "Jo, Hang Joon"

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  1. 1

    Multiclass Classification for the Differential Diagnosis on the ADHD Subtypes Using Recursive Feature Elimination and Hierarchical Extreme Learning Machine: Structural MRI Study by Qureshi, Muhammad Naveed Iqbal, Min, Beomjun, Jo, Hang Joon, Lee, Boreom

    Published in PloS one (08-08-2016)
    “…The classification of neuroimaging data for the diagnosis of certain brain diseases is one of the main research goals of the neuroscience and clinical…”
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    Classification of femur fracture in pelvic X-ray images using meta-learned deep neural network by Lee, Changhwan, Jang, Jongseong, Lee, Seunghun, Kim, Young Soo, Jo, Hang Joon, Kim, Yeesuk

    Published in Scientific reports (13-08-2020)
    “…In the medical field, various studies using artificial intelligence (AI) techniques have been attempted. Numerous attempts have been made to diagnose and…”
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  3. 3

    Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI by Gotts, Stephen J., Jo, Hang Joon, Reynolds, Richard C., Bandettini, Peter A., Martin, Alex, Cox, Robert W., Saad, Ziad S.

    Published in Journal of Applied Mathematics (01-01-2013)
    “…Artifactual sources of resting-state (RS) FMRI can originate from head motion, physiology, and hardware. Of these sources, motion has received considerable…”
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    Can hippocampal subfield measures supply information that could be used to improve the diagnosis of Alzheimer’s disease? by Kannappan, Balaji, te Nijenhuis, Jan, Choi, Yu Yong, Lee, Jang Jae, Choi, Kyu Yeong, Balzekas, Irena, Jung, Ho Yub, Choe, Youngshik, Song, Min Kyung, Chung, Ji Yeon, Ha, Jung-Min, Choi, Seong-Min, Kim, Hoowon, Kim, Byeong C, Jo, Hang Joon, Lee, Kun Ho

    Published in PloS one (03-11-2022)
    “…The diagnosis of Alzheimer’s disease (AD) needs to be improved. We investigated if hippocampal subfield volume measured by structural imaging, could supply…”
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    Cortical inhibitory markers of lifetime suicidal behavior in depressed adolescents by Lewis, Charles P, Nakonezny, Paul A, Blacker, Caren J, Vande Voort, Jennifer L, Port, John D, Worrell, Gregory A, Jo, Hang Joon, Daskalakis, Zafiris J, Croarkin, Paul E

    Published in Neuropsychopharmacology (New York, N.Y.) (01-08-2018)
    “…Although suicide is the second-leading cause of death in adolescents and young adults worldwide, little progress has been made in developing reliable…”
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    Correction of metal-induced susceptibility artifacts for functional MRI during deep brain stimulation by In, Myung-Ho, Cho, Shinho, Shu, Yunhong, Min, Hoon-Ki, Bernstein, Matt A., Speck, Oliver, Lee, Kendall H., Jo, Hang Joon

    Published in NeuroImage (Orlando, Fla.) (01-09-2017)
    “…Functional magnetic resonance imaging (fMRI) is an emerging tool for investigating brain activation associated with, or modulated by, deep brain stimulation…”
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    Resting‐state functional connectivity modulates the BOLD activation induced by nucleus accumbens stimulation in the swine brain by Cho, Shinho, Hachmann, Jan T., Balzekas, Irena, In, Myung‐Ho, Andres‐Beck, Lindsey G., Lee, Kendall H., Min, Hoon‐Ki, Jo, Hang Joon

    Published in Brain and behavior (01-12-2019)
    “…Introduction While the clinical efficacy of deep brain stimulation (DBS) the treatment of motor‐related symptoms is well established, the mechanism of action…”
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    Quantifying agreement between anatomical and functional interhemispheric correspondences in the resting brain by Jo, Hang Joon, Saad, Ziad S, Gotts, Stephen J, Martin, Alex, Cox, Robert W

    Published in PloS one (08-11-2012)
    “…The human brain is composed of two broadly symmetric cerebral hemispheres, with an abundance of reciprocal anatomical connections between homotopic locations…”
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    Exploring brain functional connectivity in rest and sleep states: a fNIRS study by Nguyen, Thien, Babawale, Olajide, Kim, Tae, Jo, Hang Joon, Liu, Hanli, Kim, Jae Gwan

    Published in Scientific reports (01-11-2018)
    “…This study investigates the brain functional connectivity in the rest and sleep states. We collected EEG, EOG, and fNIRS signals simultaneously during rest and…”
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  13. 13

    Correction: Quantifying Agreement between Anatomical and Functional Interhemispheric Correspondences in the Resting Brain by Jo, Hang Joon, Saad, Ziad S., Gotts, Stephen J., Martin, Alex, Cox, Robert W.

    Published in PloS one (24-05-2013)
    “…There is a sentence missing from the Acknowledgments: The authors thank David A. Leopold and Brian E. Russ for helpful discussions. Citation: Jo HJ, Saad ZS,…”
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  14. 14

    Two distinct forms of functional lateralization in the human brain by Gotts, Stephen J, Jo, Hang Joon, Wallace, Gregory L, Saad, Ziad S, Cox, Robert W, Martin, Alex

    “…The hemispheric lateralization of certain faculties in the human brain has long been held to be beneficial for functioning. However, quantitative relationships…”
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  15. 15

    The perils of global signal regression for group comparisons: a case study of Autism Spectrum Disorders by Gotts, Stephen J, Saad, Ziad S, Jo, Hang Joon, Wallace, Gregory L, Cox, Robert W, Martin, Alex

    Published in Frontiers in human neuroscience (12-07-2013)
    “…We have previously argued from a theoretical basis that the standard practice of regression of the Global Signal from the fMRI time series in functional…”
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    Applied Mathematics in Biomedical Sciences and Engineering 2014 by Im, Chang-Hwan, Kwon, Kiwoon, Jo, Hang Joon, Serranho, Pedro

    Published in Journal of Applied Mathematics (2014)
    “…Chang-Hwan Im 1 and Kiwoon Kwon 2 and Hang Joon Jo 3 and Pedro Serranho 4 1, Department of Biomedical Engineering, Hanyang University, 222 Wangsimni-ro,…”
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    Trouble at rest: how correlation patterns and group differences become distorted after global signal regression by Saad, Ziad S, Gotts, Stephen J, Murphy, Kevin, Chen, Gang, Jo, Hang Joon, Martin, Alex, Cox, Robert W

    Published in Brain connectivity (01-02-2012)
    “…Resting-state functional magnetic resonance imaging (RS-FMRI) holds the promise of revealing brain functional connectivity without requiring specific tasks…”
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    Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning Machine by Qureshi, Muhammad Naveed Iqbal, Oh, Jooyoung, Cho, Dongrae, Jo, Hang Joon, Lee, Boreom

    Published in Frontiers in neuroinformatics (08-09-2017)
    “…Multimodal features of structural and functional magnetic resonance imaging (MRI) of the human brain can assist in the diagnosis of schizophrenia. We performed…”
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    Multivariate pattern classification on BOLD activation pattern induced by deep brain stimulation in motor, associative, and limbic brain networks by Cho, Shinho, Min, Hoon-Ki, In, Myung-Ho, Jo, Hang Joon

    Published in Scientific reports (05-05-2020)
    “…Deep brain stimulation (DBS) has been shown to be an effective treatment for movement disorders and it is now being extended to the treatment of psychiatric…”
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