1. “APOE ε4 as a Predictor of Cognitive Decline and Its Interaction With Hippocampal Volume in Alzheimer’s Disease,” was submitted in Frontier at Oct. 21th, 2025.
2. “Interpretable 2D Deep Learning for Alzheimer’s Detection from sMRI: A Lightweight Residual CNN Approach with Comprehensive Preprocessing and Stratified Data Partitioning,” was submitted in MTAP at Apr. 28th, 2025.
3. Faizaan Fazal Khan, J.-H. Kim, Ji-In Kim, G.-R. Kwon, “Dataset-Aware Preprocessing for Hippocampal Segmentation: Insights from Ablation and Transfer Learning,” Mathematics, Vol. 13, Issue 20, pp. 1-21, Oct. 2025. (Ack. NRF-2021R1I1A3050703, 4299990114316, RISE) [SCIE, Rank 6%, JCR-Q1]
4. Vyshnavi Ramineni, J.-H. Kim, Chun-Su Park, Ji-In Kim, and G.-R. Kwon, “Attention-Enhanced Dual-Path CNN for Early Alzheimer’s Detection From Multi-Planar T1-Weighted MRI, IEEE ACCESS, Vol. 13, pp. 167984-167998, Sept. 2025. (Ack. NRF-2021R1I1A3050703, 4299990114316, RISE) [SCIE, 3.4] (DOI: 10.1109/ACCESS.2025.3613762)
5. Uttam Khatri, J.-H. Kim and G.-R. Kwon, “Multiscale Convolution-Attention Model for Efficient Alzheimer’s Disease and Mild Cognitive Impairment Diagnosis Approach Using sMRI,” Applied Soft Computing Journal, Elsevier, Dec. 2025. (Ack. NRF-2021R1I1A3050703, 4299990114316) [SCIE, 7.2, JCR-Q1 (9.4%)]
7. Faizaan Fazal Khan, J.-H. Kim, Chun-Su Park, Ji-In Kim, And G.-R. Kwon, "A Resource-Efficient 3D U-Net for Hippocampus Segmentation Using CLAHE and SCE-3DWT Techniques," IEEE ACCESS, Vol. 13. pp. 99923 - 99938, Jun. 2025. (Ack. NRF-2021R1I1A3050703, 4299990114316) [SCIE] (DOI: 10.1109/ACCESS.2025.3577266)
8. J.-H. Kim, G.-R. Kwon, “Efficient Classification of Photovoltaic Module Defects in Infrared Images,” IEEE Signal Processing Letters, Vol. 14, No. 8, pp. 1-5, Jun. 2025. (Chosun university) [SCIE] (DOI: 10.1109/LSP.2025.3577121)
9. J.-H. Kim and G.-R. Kwon, “Unsupervised Visual Anomaly Detection Using Self-Supervised Pre-Trained Transformer,” IEEE ACCESS, Vol. 12, pp. 127604-127613, Sept. 2024. (Chosun university) [SCIE, 3.4] (DOI: 10.1109/ACCESS.2024.3454753)
10. Uttam Khatri, J.-H. Kim, and G.-R. Kwon, “Alzheimer's Disease and Mild Cognitive Impairment Detection Using sMRI With Efficient Receptive Field and Enhanced Multi-Axis Attention Fusion,” IEEE ACCESS, Vol. 12, pp. 100848-100861, Jul. 2024. (Ack. NRF-2021R1I1A3050703, 4299990114316) [SCIE] (DOI: 10.1109/ACCESS.2024.3430325)
11. Uttam Khatri and G.-R. Kwon, “Diagnosis of Alzheimer's disease via optimized lightweight convolution-attention and structural MRI,” Computers in Biology and Medicine, Elesevier, Vol. 171, Article 108116, pp. 1-18, Mar. 2024. (Ack. S3312710, 4299990114316, NRF-2021R1I1A3050703) [SCIE, 7.7, JCR-Q1 (7.217%)] (https://doi.org/10.1016/j.compbiomed.2024.108116)
12. Uttam Khatri and G.-R. Kwon, “Explainable Vision Transformer with Self-Supervised Learning to Predict Alzheimer’s Disease Progression Using 18F-FDG PET,” Bioengineering in MDPI, Vol, 10, Issue 1225, Oct. 2023. (Ack. S3312710, 4299990114316, NRF - 2021R1I1A3050703) [SCIE, 4.6, Journal Rank: JCR-Q2] (https://doi.org/10.3390/bioengineering10101225)
13. Ramesh Kumar Lama and G.-R. Kwon, “Resting-State Functional Connectivity Difference in Alzheimer’s Disease and Mild Cognitive Impairment Using Threshold Free Cluster Enhancement,” Diagnostics in MDPI, Vol.13, Issue 3074, Oct. 2023. (Ack. S3312710, 4299990114316, NRF - 2021R1I1A3050703) [SCIE, 3.6, Journal Rank: JCR-Q2] (https://doi.org/10.3390/diagnostics13193074)
14. Uttam Khatri, Ji-In Kim and G.-R. Kwon, “Genetics Information with Functional Brain Networks for Dementia Classification,” Mathematics, Vol. 11, Issue 6, 1529, Mar. 2023. (Ack. S3312710, 4299990114316, NRF‐2021R1I1A3050703) [SCIE, 2.592, Rank 6%, JCR-Q1] (https://doi.org/10.3390/math11061529)
15. Rukesh Prajapati and G.-R. Kwon, “Dissimilarity Corrective Generative Adversarial Network for Brain Image Segmentation,” Applied sciences in MDPI, Vol. 12, Issue 24, pp. 1-13, Dec. 2022. (Ack. S3312710, 4299990114316, NRF‐2021R1I1A3050703) [SCIE, 2.838] (DOI: 10.3390/app122412944)
16. Bijen Khagi and G.-R. Kwon, “A novel Scaled-Gamma-Tanh (SGT) activation function in 3D CNN applied for MRI classification,” Scientific reports, Vol. 12, No. 14978, 1-14, Sept. 2022. (Ack. NRF-2021R1I1A3050703) [SCIE 4.996, JCR-Q1] (DOI: https://doi.org/10.1038/s41598-022-19020-y)
17. Rukesh Prajapati and G.-R. Kwon, “SIP-UNet: Sequential Inputs Parallel UNet Architecture for segmentation of Brain Tissues from Magnetic Resonance Images,” Mathematics (Section of Computational Intelligence: Theory and Applications), Vol. 10, Issue 15, 2755, Aug. 2022. (Ack. NRF-2021R1I1A3050703, 4299990114316) [SCIE, JCR-Q1] (DOI: https://doi.org/10.3390/math10152755)
18. Ramesh Kumar Lama, Ji-In Kim, and G.-R. Kwon, “Classification of Alzheimer’s disease based on Core-large Scale Brain Network using Multilayer Extreme Learning Machine,” Mathematics (Section of Probability and Statistics), Vol. 10, Issue 12, 1967, Jun. 2022. (Ack. NRF-2021R1I1A3050703, 4299990114316) [SCIE, JCR-Q1] (DOI: 10.3390/math10121967)
19. Fazal Ur Rehman Faisal and G.-R. Kwon, “Automated Detection of Alzheimer’s Disease and Mild Cognitive Impairment Using Whole Brain MRI,” IEEE ACCESS, Vol. 10, pp. 65055-65066, Jun. 2022. (Ack. NRF-2021R1I1A3050703, 4299990114316) [SCIE] (DOI: 10.1109/ACCESS.2022.3180073)
20. Uttam Khatri and G.-R. Kwon, “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,” Frontiers in Aging neuroscience, Vol. 14, Article 818871, May 2022. (Ack. NRF-2021R1I1A3050703, 4299990114316) [SCIE, 27%, JCR-Q1] (https://doi.org/10.3389/fnagi.2022.818871)
21. Uttam Khatri and G.-R. Kwon, “Classification of Alzheimer’s disease and Mild-cognitive Im-pairment base on High-order Dynamic Functional Connectivity at Different Frequency Band,” Mathematics, Vol. 10, Issue 5, pp. 1-18, Mar. 2022. (Ack. NRF-2021R1I1A3050703, 4299990114316) [SCIE, 2.884, JCR-Q1] (https://doi.org/10.3390/math10050805)
22. Bijen Khagi and G.-R. Kwon, “Convolutional Neural Network-Based Natural Image and MRI Classification Using Gaussian Activated Parametric (GAP) Layer,” IEEE ACCESS, Vol. 9, pp. 96930-96947, Jun. 2021. (Ack.NRF‐2019R1A4A1029769, NRF‐2021R1I1A3050703) [SCIE, 3.367] (DOI: 10.1109/ACCESS.2021.3093455)
23. Bijen Khagi, K. H. Lee, K. Y. Choi, J. J. Lee, G.‐R. Kwon, and H.‐D. Yang, “VBM-Based Alzheimer’s Disease Detection from the Region of Interest of T1 MRI with Supportive Gaussian Smoothing and a Bayesian Regularized Neural Network,” Applied sciences in MDPI, Vol. 11, Issue 13, pp. 1-22, Jul. 2021. (Ack.NRF‐2019R1A4A1029769, NRF‐2021R1I1A3050703) [SCIE, 2.679] (DOI: 10.3390/app11136175)
24. Ji-In Kim, Hui-seon Gang, Jae-Young Pyun, Goo-Rak Kwon, “Implementation of QR Code Recognition Technology using Smartphone Camera for Indoor Positioning,” Energy in MDPI, Vol. 14, Issue 10, May 2021. [2.702, SCIE] DOI: https://doi.org/10.3390/en14102759
25. Ramesh Kumar Lama and G.-R. Kwon, “Diagnosis of Alzheimer’s disease using Brain Network,” Frontiers in Neuroscience, Vol. 15, Article 605115, pp. 1-13, Feb. 2021. (Ack. NRF-2019R1A4A1029769) [3.707, SCIE].
(Ack. NRF-2021R1I1A3050703, 4299990114316)