LEADER 00877nam--2200337---450- 001 990001986750203316 005 20050915140105.0 035 $a000198675 035 $aUSA01000198675 035 $a(ALEPH)000198675USA01 035 $a000198675 100 $a20040907d1960----km-y0itay0103----ba 101 0 $afre 102 $aFR 105 $a||||||||001yy 200 1 $a<> fete$fRoger Vailland 210 $aParis$cGallimard$d1960 215 $a285 p.$d21 cm 410 0$12001 454 1$12001 461 1$1001-------$12001 700 1$aVAILLAND,$bRoger$0197130 801 0$aIT$bsalbc$gISBD 912 $a990001986750203316 951 $aVI.4.A. 1241 (II f B 210)$b70686 L.M.$cII f B 959 $aBK 969 $aUMA 979 $aSIAV1$b10$c20040907$lUSA01$h1342 979 $aCOPAT4$b90$c20050915$lUSA01$h1401 996 $aFete$91047308 997 $aUNISA LEADER 04615nam 22007215 450 001 9910349404903321 005 20251225203655.0 010 $a9783030007553 010 $a3030007553 024 7 $a10.1007/978-3-030-00755-3 035 $a(CKB)4100000006674689 035 $a(DE-He213)978-3-030-00755-3 035 $a(MiAaPQ)EBC6285165 035 $a(PPN)230538754 035 $a(EXLCZ)994100000006674689 100 $a20180914d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aConnectomics in NeuroImaging $eSecond International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings /$fedited by Guorong Wu, Islem Rekik, Markus D. Schirmer, Ai Wern Chung, Brent Munsell 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (X, 147 p. 56 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v11083 311 08$a9783030007546 311 08$a3030007545 327 $aTowards Ultra-high Resolution 3D Reconstruction of a Whole Rat Brain from 3D-PLI Data -- FOD-based Registration for Susceptibility Distortion Correction in Connectome Imaging -- GIFE: Efficient and Robust Group-wise Isometric Fiber Embedding -- Multi-Modal Brain Tensor Factorization: Preliminary Results with AD Patients -- Intact Connectional Morphometricity Learning Using Multi-View Morphological Brain Networks with Application to Autism Spectrum Disorder -- Neonatal Morphometric Similarity Networks Predict Atypical Brain Development Associated with Preterm Birth -- Heritability Estimation of Reliable Connectomic Features -- Topological Data Analysis of Functional MRI Connectivity in Time and Space Domains -- Riemannian Regression and Classification Models of Brain Networks Applied to Autism -- Defining Patient Specific Functional Parcellations in Lesional Cohorts via Markov Random Fields -- Data-Specific Feature Selection Method Identification for Most Reproducible Connectomic Feature Discovery Fingerprinting Brain States -- Towards Effective Functional Connectome Fingerprinting -- Connectivity-Driven Brain Parcellation via Consensus Clustering -- GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion -- Structural Subnetwork Evolution Across the Lifespan: Rich-club, Feeder, Seeder. 330 $aThis book constitutes the refereed proceedings of the Second International Workshop on Connectomics in NeuroImaging, CNI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018. The 15 full papers presented were carefully reviewed and selected from 20 submissions. The papers deal with new advancements in network construction, analysis, and visualization techniques in connectomics and their use in clinical diagnosis and group comparison studies as well as in various neuroimaging applications. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v11083 606 $aArtificial intelligence 606 $aComputer vision 606 $aComputer arithmetic and logic units 606 $aComputer science$xMathematics 606 $aMathematical statistics 606 $aArtificial Intelligence 606 $aComputer Vision 606 $aArithmetic and Logic Structures 606 $aProbability and Statistics in Computer Science 615 0$aArtificial intelligence. 615 0$aComputer vision. 615 0$aComputer arithmetic and logic units. 615 0$aComputer science$xMathematics. 615 0$aMathematical statistics. 615 14$aArtificial Intelligence. 615 24$aComputer Vision. 615 24$aArithmetic and Logic Structures. 615 24$aProbability and Statistics in Computer Science. 676 $a612.82 676 $a616.80475 702 $aWu$b Guorong$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRekik$b Islem$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSchirmer$b Markus D$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChung$b Ai Wern$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMunsell$b Brent$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349404903321 996 $aConnectomics in NeuroImaging$92263619 997 $aUNINA