AI & dataIn silico
Expert Evaluation of Deep Learning Approaches to White Matter Hyperintensity Segmentation in Older Adults
AAIC 2025 Abstract
Abstract
Background: White matter hyperintensities (WMHs) are critical markers of cerebrovascular health and neurodegenerative disease. Accurate and reproducible quantification of WMHs is essential for characterizing vascular contributions to aging, cognition, and Alzheimer disease and related dementias.
The paper
Adam Martersteck, Siobhan McDermott, C W VanDyke, Emily Joy Rogalski
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Karthik Ramakrishnan Sreenivasan, Maria Kharitonova, Sophia Moore, Rhiana Schafer, Amanda Cook Maher, Elizabeth C. Finger, Felicia C. Goldstein, Ozioma C. Okonkwo, Angela Roberts,University of Chicago
AAIC 2025 Abstract · 23 Dec 2025 · CC BY
Presented at AAIC 2025
