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Frontiers in Aging Neuroscience
|
November 1, 2024
Connectivity changes in two-channel prefrontal ERP associated with early cognitive decline in the elderly population: beta band responses to the auditory oddball stimuli
Jang-Han Bae, Minho Choi, Jang Jae Lee, et al.
Genes & Genomics
|
May 8, 2019
SNP genotype calling and quality control for multi-batch-based studies
Sujin Seo, Kyungtaek Park, Jang Jae Lee, et al.
The Journal of Advanced Prosthodontics
|
September 3, 2015
Color stability, water sorption and cytotoxicity of thermoplastic acrylic resin for non metal clasp denture
Dae-Eun Jang, Ji-Young Lee, Hyun-Seon Jang, et al.
The Journal of Advanced Prosthodontics
|
May 4, 2016
Effect of different grinding burs on the physical properties of zirconia
Kyung-Rok Lee, Han-Cheol Choe, Yu-Ri Heo, et al.
Sensors (Basel, Switzerland)
|
February 15, 2022
Crossing Frequency Method Applicable to Intermediate Pressure Plasma Diagnostics Using the Cutoff Probe
Si-Jun Kim, Jang-Jae Lee, Young-Seok Lee, et al.
Cerebral Cortex (New York, N.Y. : 1991)
|
September 17, 2023
Predicting mild cognitive impairments from cognitively normal brains using a novel brain age estimation model based on structural magnetic resonance imaging
Uk-Su Choi, Jun Young Park, Jang Jae Lee, et al.
Journal of Healthcare Engineering
|
April 5, 2019
Alzheimer's Disease Diagnosis Based on Cortical and Subcortical Features
Yubraj Gupta, Kun Ho Lee, Kyu Yeong Choi, et al.
Plos One
|
October 5, 2019
Early diagnosis of Alzheimer's disease using combined features from voxel-based morphometry and cortical, subcortical, and hippocampus regions of MRI T1 brain images
Yubraj Gupta, Kun Ho Lee, Kyu Yeong Choi, et al.
Frontiers in Aging Neuroscience
|
March 26, 2025
Alteration of prefrontal functional connectivity in preclinical Alzheimer's disease: an fNIRS study
Minhee Kim, Jang Jae Lee, Kyu Yeong Choi, et al.
Bioinformatics (Oxford, England)
|
September 4, 2023
Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies
Jun Young Park, Jang Jae Lee, Younghwa Lee, et al.
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of 4
Search research articles
Search
Showing results (1-10 of 32) with videos related to
Sort By:
Page
of 4
Frontiers in Aging Neuroscience
|
November 1, 2024
Connectivity changes in two-channel prefrontal ERP associated with early cognitive decline in the elderly population: beta band responses to the auditory oddball stimuli
Jang-Han Bae, Minho Choi, Jang Jae Lee, et al.
Genes & Genomics
|
May 8, 2019
SNP genotype calling and quality control for multi-batch-based studies
Sujin Seo, Kyungtaek Park, Jang Jae Lee, et al.
The Journal of Advanced Prosthodontics
|
September 3, 2015
Color stability, water sorption and cytotoxicity of thermoplastic acrylic resin for non metal clasp denture
Dae-Eun Jang, Ji-Young Lee, Hyun-Seon Jang, et al.
The Journal of Advanced Prosthodontics
|
May 4, 2016
Effect of different grinding burs on the physical properties of zirconia
Kyung-Rok Lee, Han-Cheol Choe, Yu-Ri Heo, et al.
Sensors (Basel, Switzerland)
|
February 15, 2022
Crossing Frequency Method Applicable to Intermediate Pressure Plasma Diagnostics Using the Cutoff Probe
Si-Jun Kim, Jang-Jae Lee, Young-Seok Lee, et al.
Cerebral Cortex (New York, N.Y. : 1991)
|
September 17, 2023
Predicting mild cognitive impairments from cognitively normal brains using a novel brain age estimation model based on structural magnetic resonance imaging
Uk-Su Choi, Jun Young Park, Jang Jae Lee, et al.
Journal of Healthcare Engineering
|
April 5, 2019
Alzheimer's Disease Diagnosis Based on Cortical and Subcortical Features
Yubraj Gupta, Kun Ho Lee, Kyu Yeong Choi, et al.
Plos One
|
October 5, 2019
Early diagnosis of Alzheimer's disease using combined features from voxel-based morphometry and cortical, subcortical, and hippocampus regions of MRI T1 brain images
Yubraj Gupta, Kun Ho Lee, Kyu Yeong Choi, et al.
Frontiers in Aging Neuroscience
|
March 26, 2025
Alteration of prefrontal functional connectivity in preclinical Alzheimer's disease: an fNIRS study
Minhee Kim, Jang Jae Lee, Kyu Yeong Choi, et al.
Bioinformatics (Oxford, England)
|
September 4, 2023
Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies
Jun Young Park, Jang Jae Lee, Younghwa Lee, et al.
Page
of 4