Neuroprobe is a new suite of decoding tasks on the BrainTreebank iEEG dataset for evaluating multi-modal language processing in the brain during naturalistic movie viewing.
An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.NeuroImage
4 Pith papers cite this work. Polarity classification is still indexing.
representative citing papers
CAHAL introduces a physics-informed mixture-of-experts super-resolution network for clinical MRI that conditions on resolution and anisotropy and uses edge-penalised, Fourier, and segmentation-guided losses to reduce hallucinations compared with prior generative methods.
PCA-derived global factor from gray-matter isotropic volume fraction in NODDI data correlates with specific cognitive scores in HCP Young Adult cohort.
Bootstrapped multi-level analysis of functional connectivity data reveals reduced DMN connectivity, increased deactivation, and 13 significantly differing regions (mostly frontal) in schizophrenia versus controls.
citing papers explorer
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Neuroprobe: Evaluating Intracranial Brain Responses to Naturalistic Stimuli
Neuroprobe is a new suite of decoding tasks on the BrainTreebank iEEG dataset for evaluating multi-modal language processing in the brain during naturalistic movie viewing.
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CAHAL: Clinically Applicable resolution enHAncement for Low-resolution MRI scans
CAHAL introduces a physics-informed mixture-of-experts super-resolution network for clinical MRI that conditions on resolution and anisotropy and uses edge-penalised, Fourier, and segmentation-guided losses to reduce hallucinations compared with prior generative methods.
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General Microstructure Factor Analysis of Diffusion MRI in Gray-Matter Predicts Cognitive Scores
PCA-derived global factor from gray-matter isotropic volume fraction in NODDI data correlates with specific cognitive scores in HCP Young Adult cohort.
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Diffuse and Localized Functional Dysconnectivity in Schizophrenia: a Bootstrapped Top-Down Approach
Bootstrapped multi-level analysis of functional connectivity data reveals reduced DMN connectivity, increased deactivation, and 13 significantly differing regions (mostly frontal) in schizophrenia versus controls.