LEADER 04550nam 22007095 450 001 9910349275003321 005 20251225200647.0 010 $a3-030-32391-9 024 7 $a10.1007/978-3-030-32391-2 035 $a(CKB)4100000009522854 035 $a(DE-He213)978-3-030-32391-2 035 $a(MiAaPQ)EBC5968222 035 $a(PPN)256201544 035 $a(EXLCZ)994100000009522854 100 $a20191008d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aConnectomics in NeuroImaging $eThird International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings /$fedited by Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Ai Wern Chung 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (X, 139 p. 53 illus., 51 illus. in color.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v11848 300 $aIncludes index. 311 08$a3-030-32390-0 327 $aUnsupervised 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. 330 $aThis book constitutes the refereed proceedings of the Third International Workshop on Connectomics in NeuroImaging, CNI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019. The 13 full papers presented were carefully reviewed and selected from 14 submissions. The papers deal with new advancements in network construction, analysis, and visualization techniques in connectomics and their use in clinical diagnosis and group comparison studies as well as in various neuroimaging applications. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v11848 606 $aArtificial intelligence 606 $aData mining 606 $aComputer science 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aArtificial Intelligence 606 $aData Mining and Knowledge Discovery 606 $aModels of Computation 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aComputer science. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 14$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aModels of Computation. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a612.82 676 $a616.80475 702 $aSchirmer$b Markus D$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVenkataraman$b Archana$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRekik$b Islem$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKim$b Minjeong$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChung$b Ai Wern$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349275003321 996 $aConnectomics in NeuroImaging$92263619 997 $aUNINA