Publications by authors named "Goo-Rak Kwon"

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Diagnosis of Alzheimer's disease via optimized lightweight convolution-attention and structural MRI.
Uttam Khatri, Goo-Rak Kwon

Comput Biol Med· March 2024

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Explainable Vision Transformer with Self-Supervised Learning to Predict Alzheimer's Disease Progression Using 18F-FDG PET.
Uttam Khatri, Goo-Rak Kwon

Bioengineering (Basel)· October 2023

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Resting-State Functional Connectivity Difference in Alzheimer's Disease and Mild Cognitive Impairment Using Threshold-Free Cluster Enhancement.
Ramesh Kumar Lama, Goo-Rak Kwon

Diagnostics (Basel)· September 2023

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A novel scaled-gamma-tanh (SGT) activation function in 3D CNN applied for MRI classification.
Bijen Khagi, Goo-Rak Kwon

Sci Rep· September 2022

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Alzheimer's Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield and Amygdala Volume of Structural MRI.
Uttam Khatri, Goo-Rak Kwon

Front Aging Neurosci· May 2022

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Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Cortical and Subcortical Features from MRI T1 Brain Images Utilizing Four Different Types of Datasets.
Saidjalol Toshkhujaev, Kun Ho Lee, Kyu Yeong Choi, Jang Jae Lee, Goo-Rak Kwon

J Healthc Eng· August 2021

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An Efficient Combination among sMRI, CSF, Cognitive Score, and 4 Biomarkers for Classification of AD and MCI Using Extreme Learning Machine.
Uttam Khatri, Goo-Rak Kwon

Comput Intell Neurosci· April 2021

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Diagnosis of Alzheimer's Disease Using Brain Network.
Ramesh Kumar Lama, Goo-Rak Kwon

Front Neurosci· February 2021

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Classification and Graphical Analysis of Alzheimer's Disease and Its Prodromal Stage Using Multimodal Features From Structural, Diffusion, and Functional Neuroimaging Data and the APOE Genotype.
Yubraj Gupta, Ji-In Kim, Byeong Chae Kim, Goo-Rak Kwon

Front Aging Neurosci· July 2020

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Alzheimer's Disease Diagnosis Based on Cortical and Subcortical Features.
Yubraj Gupta, Kun Ho Lee, Kyu Yeong Choi, Jang Jae Lee, Byeong Chae Kim, Goo-Rak Kwon

J Healthc Eng· March 2020

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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, Jang Jae Lee, Byeong Chae Kim, Goo Rak Kwon

PLoS One· March 2020

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Pixel-Label-Based Segmentation of Cross-Sectional Brain MRI Using Simplified SegNet Architecture-Based CNN.
Bijen Khagi, Goo-Rak Kwon

J Healthc Eng· November 2019

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Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers.
Yubraj Gupta, Ramesh Kumar Lama, Goo-Rak Kwon,

Front Comput Neurosci· October 2019

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Twin SVM-Based Classification of Alzheimer's Disease Using Complex Dual-Tree Wavelet Principal Coefficients and LDA.
Saruar Alam, Goo-Rak Kwon, Ji-In Kim, Chun-Su Park

J Healthc Eng· July 2019

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Diagnosis of Alzheimer's Disease Using Dual-Tree Complex Wavelet Transform, PCA, and Feed-Forward Neural Network.
Debesh Jha, Ji-In Kim, Goo-Rak Kwon

J Healthc Eng· July 2019

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Pathological Brain Detection Using Weiner Filtering, 2D-Discrete Wavelet Transform, Probabilistic PCA, and Random Subspace Ensemble Classifier.
Debesh Jha, Ji-In Kim, Moo-Rak Choi, Goo-Rak Kwon

Comput Intell Neurosci· July 2018

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Segmentation of Planar Surfaces from Laser Scanning Data Using the Magnitude of Normal Position Vector for Adaptive Neighborhoods.
Changjae Kim, Ayman Habib, Muwook Pyeon, Goo-rak Kwon, Jaehoon Jung

Sensors (Basel)· January 2016

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Level set method with automatic selective local statistics for brain tumor segmentation in MR images.
Kiran Thapaliya, Jae-Young Pyun, Chun-Su Park, Goo-Rak Kwon

Comput Med Imaging Graph· July 2014

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