Papers Multi-Subject Fmri Data Alignment
“Multi-Subject Fmri Data Alignment” 태그가 달린 논문 4편 · 필터 해제
Identification of Novel Diagnostic Neuroimaging Biomarkers for Autism Spectrum Disorder Through Convolutional Neural Network-Based Analysis of Functional, Structural, and Diffusion Tensor Imaging Data Towards Enhanced Autism Diagnosis
Autism spectrum disorder is one of the leading neurodevelopmental disorders in our world, present in over 1% of the population and rapidly increasing in prevalence, yet the condition lacks a robust, objective, and effici…
Brain Lesion Segmentation From MriClassification with Binary Neural NetworkDiagnosticMotion Correction In Multishot Mri+3Supervised Hyperalignment for multi-subject fMRI data alignment
Hyperalignment has been widely employed in Multivariate Pattern (MVP) analysis to discover the cognitive states in the human brains based on multi-subject functional Magnetic Resonance Imaging (fMRI) datasets. Most of th…
Multi-Subject Fmri Data AlignmentTime SeriesTime Series AnalysisGradient Hyperalignment for multi-subject fMRI data alignment
Multi-subject fMRI data analysis is an interesting and challenging problem in human brain decoding studies. The inherent anatomical and functional variability across subjects make it necessary to do both anatomical and f…
Brain DecodingGeneral ClassificationMulti-Subject Fmri Data AlignmentLocal Discriminant Hyperalignment for multi-subject fMRI data alignment
Multivariate Pattern (MVP) classification can map different cognitive states to the brain tasks. One of the main challenges in MVP analysis is validating the generated results across subjects. However, analyzing multi-su…
Multi-Subject Fmri Data Alignment