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Goo‐Rak Kwon | doi.page

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Goo‐Rak Kwon

Ewha Womans University(KR)Chosun University(KR)

Publications by Year

Research Areas

Brain Tumor Detection and Classification, Advanced Steganography and Watermarking Techniques, Medical Image Segmentation Techniques, Video Coding and Compression Technologies, Dementia and Cognitive Impairment Research

Most-Cited Works

→ Prediction and Classification of Alzheimer’s Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers(2019)151 cited
→ Ensembles of Patch-Based Classifiers for Diagnosis of Alzheimer Diseases(2019)147 cited
→ Diagnosis of Alzheimer’s Disease Using Dual-Tree Complex Wavelet Transform, PCA, and Feed-Forward Neural Network(2017)104 cited
→ Automated Detection of Alzheimer’s Disease and Mild Cognitive Impairment Using Whole Brain MRI(2022)83 cited
→ 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(2022)77 cited
→ Twin SVM-Based Classification of Alzheimer’s Disease Using Complex Dual-Tree Wavelet Principal Coefficients and LDA(2017)74 cited

→ Comparative analysis of Alzheimer's disease classification by CDR level using CNN, feature selection, and machine‐learning techniques(2019)

69 cited

→ Alzheimer’s disease Classification from Brain MRI based on transfer learning from CNN(2018)69 cited

→ An Efficient Deep Neural Network Binary Classifier for Alzheimer’s Disease Classification(2021)66 cited

→ Alzheimer disease classification using KPCA, LDA, and multi‐kernel learning SVM(2017)64 cited