Multispectral satellite imagery provides rich information about the Earth's surface. However, strong correlations among spectral bands often introduce redundancy and increase computational complexity. In this study, high-resolution WorldView-3 imagery is used to analyze spectral band relationships and classify differen...
V. Meskova, Marcos Bosques-Perez, M. Cabrerizo et al.· International Conference on...· 0 citations
Purpose Machine learning to enable precise, non-invasive detection of cerebral amyloid-beta (Aβ) pathology by integrating cognitive assessments, plasma biomarkers, and structural neuroimaging. Methods We developed an explainable multimodal machine-learning framework to predict amyloid PET visual read status using plasm...
Thony Yan Liang, Xue-Ting Cui, Micheal Adeyosoye et al.· Frontiers in Neuroscience· 0 citations
Alzheimer's disease (AD) selectively affects interconnected components of the hippocampal memory system, yet most MRI biomarkers characterize neurodegeneration using whole-hippocampal or isolated regional measurements. We tested whether amyloid-associated structural vulnerability is selectively concentrated in the corn...
Xue-Ting Cui, T. Y. Liang, Micheal Adeyosoye et al.· NeuroImage· 0 citations
An explainable multimodal machine-learning framework to predict progression from MCI to dementia within a clinically meaningful two-year period is developed and the convergence of cognitive impairment and region-specific neurodegeneration emerged as the strongest indicator of conversion risk.
Bipul Simkhada, T. Y. Liang, Xue-Ting Cui et al.· GeroScience· 1 citation· ⚡1
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