H
Hyo Jong Lee
Researcher at Chonbuk National University
Publications - 227
Citations - 4405
Hyo Jong Lee is an academic researcher from Chonbuk National University. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 30, co-authored 199 publications receiving 3244 citations. Previous affiliations of Hyo Jong Lee include University of Texas MD Anderson Cancer Center & Seoul National University.
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Journal ArticleDOI
Anti-inflammatory effects of chlorogenic acid in lipopolysaccharide-stimulated RAW 264.7 cells.
TL;DR: Chlorogenic acid significantly inhibited not only NO production but also the expression of COX-2 and iNOS, without any cytotoxicity and inhibited the nuclear translocation of NF-κB.
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DIELECTRIC PROPERTIES OF MNb2O6 COMPOUNDS (WHERE M = Ca, Mn, Co, Ni, OR Zn)
TL;DR: The microwave dielectric properties of MNb2O6 compounds have been investigated as a function of M ions in this paper, and the temperature coefficient of the resonant frequency was found to correlate strongly with the M ions.
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Dielectric Properties of AB2O6 Compounds at Microwave Frequencies (A=Ca, Mg, Mn, Co, Ni, Zn, and B=Nb, Ta)
TL;DR: The microwave dielectric properties of AB2O6 compounds, where A=Ca, Mg, Mn, Co, Ni, or Zn, and B=Nb or Ta, were investigated in this article.
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Function biomedical informatics research network recommendations for prospective multicenter functional MRI studies
Gary H. Glover,Bryon A. Mueller,Jessica A. Turner,Jessica A. Turner,Theo G.M. van Erp,Thomas T. Liu,Douglas N. Greve,James T. Voyvodic,Jerod M. Rasmussen,Gregory G. Brown,David Keator,Vince D. Calhoun,Vince D. Calhoun,Hyo Jong Lee,Judith M. Ford,Judith M. Ford,Daniel H. Mathalon,Daniel H. Mathalon,Michele T. Diaz,Daniel S. O'Leary,Syam Gadde,Adrian Preda,Kelvin O. Lim,Cynthia G. Wible,Cynthia G. Wible,Hal S. Stern,Aysenil Belger,Gregory McCarthy,Burak Ozyurt,Steven G. Potkin +29 more
TL;DR: It is concluded that when MC‐fMRI studies are organized well with careful attention to unification of hardware, software and procedural aspects, the process can be a highly effective means for accessing a desired participant demographics while accelerating scientific discovery.
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Patterns of Gray Matter Abnormalities in Schizophrenia Based on an International Mega-analysis
Cota Navin Gupta,Vince D. Calhoun,Vince D. Calhoun,Vince D. Calhoun,Srinivas Rachakonda,Jiayu Chen,Veena Patel,Jingyu Liu,Judith M. Segall,Barbara Franke,Marcel P. Zwiers,Alejandro Arias-Vasquez,Jan K. Buitelaar,Simon E. Fisher,Simon E. Fisher,Guillén Fernández,Theo G.M. van Erp,Steven G. Potkin,Judith M. Ford,Daniel H. Mathalon,Sarah McEwen,Hyo Jong Lee,Bryon A. Mueller,Douglas N. Greve,Ole A. Andreassen,Ingrid Agartz,Ingrid Agartz,Randy L. Gollub,Scott R. Sponheim,Stefan Ehrlich,Stefan Ehrlich,Lei Wang,Godfrey D. Pearlson,David C. Glahn,Emma Sprooten,Andrew R. Mayer,Julia M. Stephen,Rex E. Jung,José M. Cañive,José M. Cañive,Juan R. Bustillo,Jessica A. Turner,Jessica A. Turner +42 more
TL;DR: This mega-analysis confirms that the commonly found GMC loss in patients with schizophrenia in the anterior temporal lobe, insula, and medial frontal lobe form a single, consistent spatial pattern even in such a diverse dataset.