Two persistent homology pipelines quantify regional thinning and pairwise structural similarity in T1 MRI, separating AD from CN subjects at ROC-AUC 0.895 and tracking longitudinal change without template registration.
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Patient identity and clinical features predict brain tumor segmentation accuracy more strongly than model choice, with localized spatial biases consistent across models and no formal fairness guarantees in any.
Hybrid eTFCE-GRF retrieves exact cluster sizes via union-find in one pass and converts them to analytical p-values using GRF theory, delivering permutation-free TFCE inference that is faster and exact.
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Homology-based Morphometry of Brain Atrophy: Methods and Applications
Two persistent homology pipelines quantify regional thinning and pairwise structural similarity in T1 MRI, separating AD from CN subjects at ROC-AUC 0.895 and tracking longitudinal change without template registration.
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Fairboard: a quantitative framework for equity assessment of healthcare models
Patient identity and clinical features predict brain tumor segmentation accuracy more strongly than model choice, with localized spatial biases consistent across models and no formal fairness guarantees in any.
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Hybrid eTFCE-GRF: Exact Cluster-Size Retrieval with Analytical p-Values for Voxel-Based Morphometry
Hybrid eTFCE-GRF retrieves exact cluster sizes via union-find in one pass and converts them to analytical p-values using GRF theory, delivering permutation-free TFCE inference that is faster and exact.