Connectomics in NeuroImaging: Third International Workshop, CNI 2019, Held in Conjunction with MICCA
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- Artikel-Nr.: 10395339
Beschreibung
Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson's Disease Diagnosis.- A Novel Graph Neural Network to Localize Eloquent Cortex in Brain Tumor Patients from Resting-State fMRI Connectivity.- Graph Morphology-Based Genetic Algorithm for Classifying Late Dementia States.- Covariance Shrinkage for Dynamic Functional Connectivity.- Rapid Acceleration of the Permutation Test via Transpositions.- Heat kernels with functional connectomes reveal atypical energy transport in peripheral subnetworks in autism.- A Mass Multivariate Edge-wise Approach for Combining Multiple Connectomes to Improve the Detection of Group Differences.- Adversarial Connectome Embedding for Mild Cognitive Impairment Identification using Cortical Morphological Networks.- A Machine Learning Framework for Accurate Functional Connectome Fingerprinting and an Application of a Siamese Network.- Test-Retest Reliability of Functional Networks for Evaluation of Data-Driven Parcellation.- Constraining Disease Progression Models Using Subject Specific Connectivity Priors.- Hemodynamic Matrix Factorization for Functional Magnetic Resonance Imaging.- Network Dependency Index Stratified Subnetwork Analysis of Functional Connectomes: An application to autism.
Eigenschaften
Breite: | 156 |
Gewicht: | 243 g |
Höhe: | 236 |
Länge: | 11 |
Seiten: | 139 |
Sprachen: | Englisch |
Autor: | Ai Wern Chung, Archana Venkataraman, Islem Rekik, Markus D. Schirmer, Minjeong Kim |
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