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  1. No Access

    Chapter and Conference Paper

    Augmenting Magnetic Resonance Imaging with Tabular Features for Enhanced and Interpretable Medial Temporal Lobe Atrophy Prediction

    Medial temporal lobe atrophy (MTA) score is a key feature for Alzheimer’s disease (AD) diagnosis. Diagnosis of MTA from images acquired using magnetic resonance imaging (MRI) technology suffers from high inter...

    Dongsoo Lee, Chong Hyun Suh, **young Kim… in Machine Learning in Clinical Neuroimaging (2022)

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    Chapter and Conference Paper

    Volume is All You Need: Improving Multi-task Multiple Instance Learning for WMH Segmentation and Severity Estimation

    White matter hyperintensities (WMHs) are lesions with unusually high intensity detected in T2 fluid-attenuated inversion recovery (T2-FLAIR) MRI images, commonly attributed to vascular dementia (VaD) and chron...

    Wooseok Jung, Chong Hyun Suh, Woo Hyun Shim… in Machine Learning in Clinical Neuroimaging (2022)