Kichang Kwak
Affiliations: | University of North Carolina, Chapel Hill, Chapel Hill, NC |
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| Park CJ, Park YH, Kwak K, et al. (2024) Deep learning-based quantification of brain atrophy using 2D T1-weighted MRI for Alzheimer's disease classification. Frontiers in Aging Neuroscience. 16: 1423515 |
| Kwak K, Stanford W, Dayan E. (2022) Identifying the regional substrates predictive of Alzheimer's disease progression through a convolutional neural network model and occlusion. Human Brain Mapping |
| Ryu DW, Hong YJ, Cho JH, et al. (2022) Automated brain volumetric program measuring regional brain atrophy in diagnosis of mild cognitive impairment and Alzheimer's disease dementia. Brain Imaging and Behavior |
| Sadiq MU, Kwak K, Dayan E, et al. (2022) Model-based stratification of progression along the Alzheimer disease continuum highlights the centrality of biomarker synergies. Alzheimer's Research & Therapy. 14: 16 |
| Kwak K, Giovanello KS, Bozoki A, et al. (2021) Subtyping of mild cognitive impairment using a deep learning model based on brain atrophy patterns. Cell Reports. Medicine. 2: 100467 |
| Kwak K, Niethammer M, Giovanello KS, et al. (2021) Differential Role for Hippocampal Subfields in Alzheimer's Disease Progression Revealed with Deep Learning. Cerebral Cortex (New York, N.Y. : 1991) |
| Kwak K, Yun HJ, Park G, et al. (2018) Multi-Modality Sparse Representation for Alzheimer's Disease Classification. Journal of Alzheimer's Disease : Jad |
| Kim YJ, Kim HJ, Park JH, et al. (2016) Synergistic effects of longitudinal amyloid and vascular changes on lobar microbleeds. Neurology |
| Moon WJ, Park JY, Yun WS, et al. (2016) A Comparison of Substantia Nigra T1 Hyperintensity in Parkinson's Disease Dementia, Alzheimer's Disease and Age-Matched Controls: Volumetric Analysis of Neuromelanin Imaging. Korean Journal of Radiology. 17: 633-40 |
| Ye BS, Lee Y, Kwak K, et al. (2016) Posterior Ventricular Enlargement to Differentiate Dementia with Lewy Bodies from Alzheimer's Disease. Journal of Alzheimer's Disease : Jad |