G. Kwon

发表

Rotation and scale invariant upsampled log-polar fourier descriptor for copy-move forgery detection

Goo-Rak Kwon, Changjae Kim, Jihoon Lee, 2016, Multimedia Tools and Applications.

Color image interpolation for high resolution display based on adaptive directional lifting based wavelet transform

Goo-Rak Kwon, Jae-Young Pyun, Jongwoo Kim, 2014, 2014 IEEE International Conference on Consumer Electronics (ICCE).

Automatic Segmentation of Pulmonary Parenchyma Using Connected Component and Centroid Value

G. Kwon, T. Kiran, 2012 .

Alzheimer's Disease Detection Using Extreme Learning Machine, Complex Dual Tree Wavelet Principal Coefficients and Linear Discriminant Analysis

Saruar Alam, Goo-Rak Kwon, Jae-Young Pyun, 2018, Journal of Medical Imaging and Health Informatics.

A Binary Classifier Using Fully Connected Neural Network for Alzheimer's Disease Classification

G. Kwon, Rukesh Prajapati, 2022, J. Multim. Inf. Syst..

Detection of Brain Tumor Using Zernike Moments on Magnetic Resonance Images

G. Kwon, K. Thapaliya, 2013 .

Classification of Alzheimer’s Disease Based on Core-Large Scale Brain Network Using Multilayer Extreme Learning Machine

G. Kwon, R. Lama, Ji-In Kim, 2022, Mathematics.

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

G. Kwon, Uttam Khatri, 2022, Frontiers in Aging Neuroscience.

Multi-biomarkers-Base Alzheimer's Disease Classification

G. Kwon, Uttam Khatri, 2021, J. Multim. Inf. Syst..

A novel scaled-gamma-tanh (SGT) activation function in 3D CNN applied for MRI classification

G. Kwon, Bijen Khagi, 2022, Scientific Reports.

Automated Detection of Alzheimer’s Disease and Mild Cognitive Impairment Using Whole Brain MRI

G. Kwon, Fazal Ur Rehman Faisal, 2022, IEEE Access.

SIP-UNet: Sequential Inputs Parallel UNet Architecture for Segmentation of Brain Tissues from Magnetic Resonance Images

G. Kwon, Rukesh Prajapati, 2022, Mathematics.

Color image interpolation in the DCT domain using a wavelet-based differential value

S. Ko, G. Kwon, R. Lama, 2018, Multimedia Tools and Applications.

G. Kwon, Rukesh Prajapati, 2022, Applied Sciences.

Diagnosis of Alzheimer's Disease Using Dual-Tree Complex Wavelet Transform, PCA, and Feed-Forward Neural Network

Goo-Rak Kwon, Ji-In Kim, Debesh Jha, 2017, Journal of healthcare engineering.

3D CNN Design for the Classification of Alzheimer’s Disease Using Brain MRI and PET

Goo-Rak Kwon, Bijen Khagi, G. Kwon, 2020, IEEE Access.

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, Goo-Rak Kwon, Ramesh Kumar Lama, 2019, Front. Comput. Neurosci..

Alzheimer disease classification using KPCA, LDA, and multi‐kernel learning SVM

Saruar Alam, Goo-Rak Kwon, G. Kwon, 2017, Int. J. Imaging Syst. Technol..

Alzheimer Disease Detection in MRI Using Curvelet Transform with K-NN

Goo-Rak Kwon, Debesh Jha, Debesh Jha, 2016 .

Deterioration Diagnosis of Solar Module Using Thermal and Visible Image Processing

Goo-Rak Kwon, Sang-Woong Lee, Heon Jeong, 2020, Energies.

Convolutional Neural Network-Based Natural Image and MRI Classification Using Gaussian Activated Parametric (GAP) Layer

Bijen Khagi, Goo Rak Kwon, G. Kwon, 2021, IEEE Access.

VBM-Based Alzheimer’s Disease Detection from the Region of Interest of T1 MRI with Supportive Gaussian Smoothing and a Bayesian Regularized Neural Network

K. Lee, G. Kwon, K. Y. Choi, 2021, Applied Sciences.

An Efficient Combination among sMRI, CSF, Cognitive Score, and APOE ε4 Biomarkers for Classification of AD and MCI Using Extreme Learning Machine

Goo-Rak Kwon, Uttam Khatri, G. Kwon, 2020, Comput. Intell. Neurosci..

Ensembles of Patch-Based Classifiers for Diagnosis of Alzheimer Diseases

Ho Yub Jung, Kun Ho Lee, Goo-Rak Kwon, 2019, IEEE Access.

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, 2020, Frontiers in Aging Neuroscience.

Early diagnosis of Alzheimer’s disease using combined features from voxel-based morphometry and cortical, subcortical, and hippocampus regions of MRI T1 brain images

Kun Ho Lee, Yubraj Gupta, Byeong Chae Kim, 2019, PloS one.

Comparative analysis of Alzheimer's disease classification by CDR level using CNN, feature selection, and machine‐learning techniques

Goo-Rak Kwon, Ramesh Kumar Lama, Bijen Khagi, 2019, Int. J. Imaging Syst. Technol..

An efficient POCS-based post-processing technique using wavelet transform in HDTV

Sung-Jea Ko, Goo-Rak Kwon, Yoon Kim, 2005, IEEE Trans. Consumer Electron..

Genetics Information with Functional Brain Networks for Dementia Classification

G. Kwon, Ji-In Kim, Uttam Khatri, 2023, Mathematics.

An Efficient Deep Neural Network Binary Classifier for Alzheimer’s Disease Classification

G. Kwon, Rukesh Prajapati, Uttam Khatri, 2021, 2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC).

Efficient image splicing detection algorithm based on markov features

Chun-Su Park, G. Kwon, N. T. Pham, 2018, Multimedia Tools and Applications.

Energy efficient Dijkstra-based weighted sum minimization routing protocol for WSN

Goo-Rak Kwon, Seokjoo Shin, Madiha Razzaq, 2018, 2018 Third International Conference on Fog and Mobile Edge Computing (FMEC).

Pixel-Label-Based Segmentation of Cross-Sectional Brain MRI Using Simplified SegNet Architecture-Based CNN

Goo-Rak Kwon, Bijen Khagi, G. Kwon, 2018, Journal of healthcare engineering.

Classification of Alzheimer’s Disease and Mild-Cognitive Impairment Base on High-Order Dynamic Functional Connectivity at Different Frequency Band

G. Kwon, Uttam Khatri, 2022, Mathematics.

Diagnosis of Alzheimer’s Disease Using Brain Network

G. Kwon, R. Lama, 2021, Frontiers in Neuroscience.

Alzheimer's Disease Diagnosis Based on Cortical and Subcortical Features

Goo-Rak Kwon, Kun Ho Lee, Yubraj Gupta, 2019, Journal of healthcare engineering.

Efficient image splicing detection algorithm based on markov features

Goo-Rak Kwon, Chun-Su Park, Nam Thanh Pham, 2018, Multimedia Tools and Applications.

Performance of classification based on PCA, linear SVM, and Multi-kernel SVM

Saruar Alam, Goo-Rak Kwon, Jae-Young Pyun, 2016, 2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN).

Image interpolation for high-resolution display based on the complex dual-tree wavelet transform and hidden Markov model

Goo-Rak Kwon, Ramesh Kumar Lama, Moo-Rak Choi, 2016, Multimedia Tools and Applications.

Level set method with automatic selective local statistics for brain tumor segmentation in MR images

Goo-Rak Kwon, Jae-Young Pyun, Chun-Su Park, 2013, Comput. Medical Imaging Graph..

Network-Aware Reference Frame Control for Error-Resilient H.264/AVC Video Streaming Service

Goo-Rak Kwon, Jae-Young Pyun, Hui-Seon Gang, 2016, Mob. Inf. Syst..

Real-time face detection and phone-to-face distance measuring for speech recognition for multi-modal interface in mobile device

Jae-Won Lee, Sung-Hoon Hong, G. Kwon, 2016, Multimedia Tools and Applications.

Pathological Brain Detection Using Weiner Filtering, 2D-Discrete Wavelet Transform, Probabilistic PCA, and Random Subspace Ensemble Classifier

Goo-Rak Kwon, Ji-In Kim, Debesh Jha, 2017, Comput. Intell. Neurosci..

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

Kun Ho Lee, Yubraj Gupta, Goo-Rak Kwon, 2020, Journal of healthcare engineering.

Alzheimer’s disease Classification from Brain MRI based on transfer learning from CNN

Goo-Rak Kwon, Bijen Khagi, Chung Ghiu Lee, 2018, 2018 11th Biomedical Engineering International Conference (BMEiCON).

A New Encryption-then-Compression Scheme on Gray Images Using the Markov Random Field

Yang Feng, Goo-Rak Kwon, Hao Xie, 2018 .

Alzheimer disease classification based on TSVM and Kernel SVM

Goo-Rak Kwon, Moonsoo Kang, Samar Alam, 2017, 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN).

Brain image segmentation using a combination of expectation‐maximization algorithm and watershed transform

Goo-Rak Kwon, Sang-Woong Lee, Kun Ho Lee, 2016, Int. J. Imaging Syst. Technol..

Hybrid Image-Retrieval Method for Image-Splicing Validation

Goo-Rak Kwon, Chun-Su Park, Nam Thanh Pham, 2019, Symmetry.

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, 2017, Journal of healthcare engineering.

Segmentation of Planar Surfaces from Laser Scanning Data Using the Magnitude of Normal Position Vector for Adaptive Neighborhoods

Jaehoon Jung, Goo-Rak Kwon, Changjae Kim, 2016, Sensors.

Double random phase encoding with a Poisson-multinomial distribution for efficient colorful image authentication

Ayesha Akter Lata, I. Moon, G. Kwon, 2018, Multimedia Tools and Applications.

Video transmission adopting scalable video coding over time-varying networks

Sung-Jea Ko, Goo-Rak Kwon, Nam-Hyeong Kim, 2006, IEEE Transactions on Consumer Electronics.