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Hang Joon Jo
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2020 – today
- 2023
- [j14]Daehun Kang, Myung-Ho In, Hang Joon Jo, Maria A. Halverson, Nolan Meyer, Zaki Ahmed, Erin M. Gray, Radhika Madhavan, Thomas K. F. Foo, Brice Fernandez, David F. Black, Kirk M. Welker, Joshua D. Trzasko, John Huston, Matt A. Bernstein, Yunhong Shu:
Improved Resting-State Functional MRI Using Multi-Echo Echo-Planar Imaging on a Compact 3T MRI Scanner with High-Performance Gradients. Sensors 23(9): 4329 (2023) - 2020
- [j13]Mona Nasseri, Václav Kremen, Petr Nejedly, Inyong Kim, Su-Youne Chang, Hang Joon Jo, Hari Guragain, Nathaniel Nelson, Edward E. Patterson, Beverly K. Sturges, Chelsea M. Crowe, Tim Denison, Benjamin H. Brinkmann, Gregory A. Worrell:
Semi-supervised training data selection improves seizure forecasting in canines with epilepsy. Biomed. Signal Process. Control. 57 (2020) - [j12]Hang Joon Jo, Richard C. Reynolds, Stephen J. Gotts, Daniel A. Handwerker, Irena Balzekas, Alex Martin, Robert W. Cox, Peter A. Bandettini:
Fast detection and reduction of local transient artifacts in resting-state fMRI. Comput. Biol. Medicine 120: 103742 (2020)
2010 – 2019
- 2017
- [j11]Muhammad Naveed Iqbal Qureshi, Jooyoung Oh, Dongrae Cho, Hang Joon Jo, Boreom Lee:
Multimodal Discrimination of Schizophrenia Using Hybrid Weighted Feature Concatenation of Brain Functional Connectivity and Anatomical Features with an Extreme Learning Machine. Frontiers Neuroinformatics 11: 59 (2017) - [j10]Myung-Ho In, Shinho Cho, Yunhong Shu, Hoon-Ki Min, Matt A. Bernstein, Oliver Speck, Kendall H. Lee, Hang Joon Jo:
Correction of metal-induced susceptibility artifacts for functional MRI during deep brain stimulation. NeuroImage 158: 26-36 (2017) - [c1]Muhammad Naveed Iqbal Qureshi, Hang Joon Jo, Boreom Lee:
ADHD subgroup discrimination with global connectivity features using hierarchical extreme learning machine: Resting-state FMRI study. ISBI 2017: 529-532 - 2014
- [j9]Chang-Hwan Im, Kiwoon Kwon, Hang Joon Jo, Pedro Serranho:
Applied Mathematics in Biomedical Sciences and Engineering 2014. J. Appl. Math. 2014: 470483:1-470483:2 (2014) - 2013
- [j8]Ziad S. Saad, Richard C. Reynolds, Hang Joon Jo, Stephen J. Gotts, Gang Chen, Alex Martin, Robert W. Cox:
Correcting Brain-Wide Correlation Differences in Resting-State FMRI. Brain Connect. 3(4): 339-352 (2013) - [j7]Hang Joon Jo, Stephen J. Gotts, Richard C. Reynolds, Peter A. Bandettini, Alex Martin, Robert W. Cox, Ziad S. Saad:
Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI. J. Appl. Math. 2013: 935154:1-935154:9 (2013) - 2012
- [j6]Ziad S. Saad, Stephen J. Gotts, Kevin Murphy, Gang Chen, Hang Joon Jo, Alex Martin, Robert W. Cox:
Trouble at Rest: How Correlation Patterns and Group Differences Become Distorted After Global Signal Regression. Brain Connect. 2(1): 25-32 (2012) - [j5]June Sic Kim, Chun Kee Chung, Hang Joon Jo, Jong-Min Lee, Jun Soo Kwon:
Regional thinning of cerebral cortical thickness in first-episode and chronic schizophrenia. Int. J. Imaging Syst. Technol. 22(1): 73-80 (2012) - 2010
- [j4]Jae-Hun Kim, Jong-Min Lee, Hang Joon Jo, Sook Hui Kim, Jung Hee Lee, Sung Tae Kim, Sang Won Seo, Robert W. Cox, Duk L. Na, Sun I. Kim, Ziad S. Saad:
Defining functional SMA and pre-SMA subregions in human MFC using resting state fMRI: Functional connectivity-based parcellation method. NeuroImage 49(3): 2375-2386 (2010) - [j3]Hang Joon Jo, Ziad S. Saad, W. Kyle Simmons, Lydia A. Milbury, Robert W. Cox:
Mapping sources of correlation in resting state FMRI, with artifact detection and removal. NeuroImage 52(2): 571-582 (2010)
2000 – 2009
- 2008
- [j2]Hang Joon Jo, Jong-Min Lee, Jae-Hun Kim, Chi-Hoon Choi, Bon-Mi Gu, Do-Hyung Kang, Jeonghun Ku, Jun Soo Kwon, Sun I. Kim:
Artificial shifting of fMRI activation localized by volume- and surface-based analyses. NeuroImage 40(3): 1077-1089 (2008) - 2007
- [j1]Hang Joon Jo, Jong-Min Lee, Jae-Hun Kim, Yong-Wook Shin, In-Young Kim, Jun Soo Kwon, Sun I. Kim:
Spatial accuracy of fMRI activation influenced by volume- and surface-based spatial smoothing techniques. NeuroImage 34(2): 550-564 (2007)
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