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Frontiers in Neuroscience|February 22, 2021
Diagnosis of Alzheimer's Disease Using Brain NetworkRamesh Kumar Lama, Goo-Rak KwonDiagnostics (Basel, Switzerland)|October 14, 2023
Resting-State Functional Connectivity Difference in Alzheimer's Disease and Mild Cognitive Impairment Using Threshold-Free Cluster EnhancementRamesh Kumar Lama, Goo-Rak KwonFrontiers in Computational Neuroscience|November 5, 2019
Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging BiomarkersYubraj Gupta, Ramesh Kumar Lama, Goo-Rak Kwon, et al.Journal of Healthcare Engineering|September 21, 2020
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 DatasetsSaidjalol Toshkhujaev, Kun Ho Lee, Kyu Yeong Choi, et al.Journal of Healthcare Engineering|December 5, 2018
Pixel-Label-Based Segmentation of Cross-Sectional Brain MRI Using Simplified SegNet Architecture-Based CNNBijen Khagi, Goo-Rak KwonScientific Reports|September 2, 2022
A novel scaled-gamma-tanh (SGT) activation function in 3D CNN applied for MRI classificationBijen Khagi, Goo-Rak KwonBioengineering (Basel, Switzerland)|October 28, 2023
Explainable Vision Transformer with Self-Supervised Learning to Predict Alzheimer's Disease Progression Using 18F-FDG PETUttam Khatri, Goo-Rak KwonFrontiers in Aging Neuroscience|June 16, 2022
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 MRIUttam Khatri, Goo-Rak KwonComputational Intelligence and Neuroscience|June 23, 2020
An Efficient Combination among sMRI, CSF, Cognitive Score, and <i>APOE ε</i>4 Biomarkers for Classification of AD and MCI Using Extreme Learning MachineUttam Khatri, Goo-Rak KwonComputers in Biology and Medicine|February 12, 2024
Diagnosis of Alzheimer's disease via optimized lightweight convolution-attention and structural MRIUttam Khatri, Goo-Rak KwonPageof 3