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.
et al.: Multimodal population brain imaging in the UK Biobank prospective epidemiological study
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2representative citing papers
Disease trajectory embeddings from longitudinal EHR data serve as structural priors to enhance multi-organ IDP representation learning, improving AUC and MAE for disease prediction across 159 conditions in UK Biobank.
citing papers explorer
-
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.
-
From Trajectories to Phenotypes: Disease Progression as Structural Priors for Multi-organ Imaging Representation Learning
Disease trajectory embeddings from longitudinal EHR data serve as structural priors to enhance multi-organ IDP representation learning, improving AUC and MAE for disease prediction across 159 conditions in UK Biobank.