Neural correlates of superior intelligence: Stronger recruitment of posterior parietal cortex. - Kun Ho Lee; Yu Yong Choi; Jeremy R. Gray; Sun Hee Cho; Jeong-Ho Chae; Seungheun Lee; Kyungjin Kim (NeuroImage, 2006)

Heritability Estimation Methods of Multiple Brain Measures: A Preliminary MRI Study in Twins. - Yu Yong Choi; Kun Ho Lee (MIAD, 2011)

The relationship between the presence of sulcal pits and intelligence in human brains. - Kiho Im; Yu Yong Choi; Jin-Ju Yang; Kun Ho Lee; Sun I. Kim; Patricia Ellen Grant; Jong-Min Lee (NeuroImage, 2011)

Quantitative comparison and analysis of sulcal patterns using sulcal graph matching: A twin study. - Kiho Im; Rudolph Pienaar; Jong-Min Lee; Joon-Kyung Seong; Yu Yong Choi; Kun Ho Lee; Patricia Ellen Grant (NeuroImage, 2011)

Brain image segmentation using a combination of expectation-maximization algorithm and watershed transform. - Goo-Rak Kwon; Dibash Basukala; Sang-Woong Lee 001; Kun Ho Lee; Moonsoo Kang (Int. J. Imaging Syst. Technol., 2016)

Ensembles of Patch-Based Classifiers for Diagnosis of Alzheimer Diseases. - Samsuddin Ahmed; Kyu Yeong Choi; Jang Jae Lee; Byeong C. Kim; Goo-Rak Kwon; Kun Ho Lee; Ho Yub Jung (IEEE Access, 2019)

Hippocampus Localization Using a Two-Stage Ensemble Hough Convolutional Neural Network. - Abol Basher; Kyu Yeong Choi; Jang Jae Lee; Bumshik Lee; Byeong C. Kim; Kun Ho Lee; Ho Yub Jung (IEEE Access, 2019)

Automatic Localization and Discrete Volume Measurements of Hippocampi From MRI Data Using a Convolutional Neural Network. - Abol Basher; Byeong C. Kim; Kun Ho Lee; Ho Yub Jung (IEEE Access, 2020)

3D-Deep Learning Based Automatic Diagnosis of Alzheimer's Disease with Joint MMSE Prediction Using Resting-State fMRI. - Thanh Duc Nguyen; Seungjun Ryu; Muhammad Naveed Iqbal Qureshi; Min Choi; Kun Ho Lee; Boreom Lee (Neuroinformatics, 2020)

Volumetric Feature-Based Alzheimer's Disease Diagnosis From sMRI Data Using a Convolutional Neural Network and a Deep Neural Network. - Abol Basher; Byeong C. Kim; Kun Ho Lee; Ho Yub Jung (IEEE Access, 2021)

Age-Related Changes in the Characteristics of the Elderly Females Using the Signal Features of an Earlobe Photoplethysmogram. - Jeong-Woo Seo; Jungmi Choi; Kun Ho Lee; Jaeuk U. Kim (Sensors, 2021)

Robust Hippocampus Localization From Structured Magnetic Resonance Imaging Using Similarity Metric Learning. - Samsuddin Ahmed; Kun Ho Lee; Ho Yub Jung (IEEE Access, 2022)

Individualized diagnosis of preclinical Alzheimer's Disease using deep neural networks. - Jinhee Park; Sehyeon Jang; Jeonghwan Gwak; Byeong C. Kim; Jang Jae Lee; Kyu Yeong Choi; Kun Ho Lee; Sung Chan Jun; Gil-Jin Jang; Sangtae Ahn (Expert Syst. Appl., 2022)

Saccadic eye movement variables as biomarkers for cognitive decline in elderly individuals. - Julius Opwonya; Boncho Ku; Kahye Kim; Kun Ho Lee; Joong Il Kim; Jaeuk U. Kim (EMBC, 2023)

Estimating explainable Alzheimer's disease likelihood map via clinically-guided prototype learning. - Ahmad Wisnu Mulyadi; Wonsik Jung; Kwanseok Oh; Jee Seok Yoon; Kun Ho Lee; Heung-Il Suk (NeuroImage, 2023)

Machine learning-based quantification for disease uncertainty increases the statistical power of genetic association studies. - Jun Young Park; Jang Jae Lee; Younghwa Lee; Dongsoo Lee; Jungsoo Gim; Lindsay A. Farrer; Kun Ho Lee; Sungho Won (Bioinform., 2023)

Multi-stream deep learning framework to predict mild cognitive impairment with Rey Complex Figure Test. - Junyoung Park; Eun Hyun Seo; Sunjun Kim; SangHak Yi; Kun Ho Lee; Sungho Won (CoRR, 2024)

Smart Insole-Based Classification of Alzheimer's Disease Using Few-Shot Learning Facilitated by Multi-Scale Metric Learning. - Younghoon Jeon; Jaeyong Kang; Byeong C. Kim; Kun Ho Lee; Jong-In Song; Jeonghwan Gwak (IEEE Trans. Consumer Electron., 2024)

A quantitatively interpretable model for Alzheimer's disease prediction using deep counterfactuals. - Kwanseok Oh; Da-Woon Heo; Ahmad Wisnu Mulyadi; Wonsik Jung; Eunsong Kang; Kun Ho Lee; Heung-Il Suk (NeuroImage, 2025)