LEADER 05374nam 22006615 450 001 996466431003316 005 20200801143018.0 010 $a3-030-35817-8 024 7 $a10.1007/978-3-030-35817-4 035 $a(CKB)4100000009844904 035 $a(DE-He213)978-3-030-35817-4 035 $a(MiAaPQ)EBC5977968 035 $a(PPN)250217961 035 $a(EXLCZ)994100000009844904 100 $a20191113d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGraph Learning in Medical Imaging$b[electronic resource] $eFirst International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings /$fedited by Daoqiang Zhang, Luping Zhou, Biao Jie, Mingxia Liu 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (IX, 182 p. 87 illus., 68 illus. in color.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11849 311 $a3-030-35816-X 320 $aIncludes bibliographical references and index. 327 $aGraph Hyperalignment for Multi-Subject fMRI Functional Alignment -- Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks -- Adaptive Thresholding of Functional Connectivity Networks for fMRI-based Brain Disease Analysis -- Graph-kernel-based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification -- Linking convolutional neural networks with graph convolutional networks: application in pulmonary artery-vein separation -- Comparative Analysis of Magnetic Resonance Fingerprinting Dictionaries via Dimensionality Reduction -- Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients -- Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography -- Triplet Graph Convolutional Network forMulti-scale Analysis of Functional Connectivityusing Functional MRI -- Multi-Scale Graph Convolutional Network for Mild Cognitive Impairment Detection -- DeepBundle: Fiber Bundle Parcellation With Graph CNNs -- Identification of Functional Connectivity Features in Depression Subtypes Using a Data-Driven Approach -- Movie-watching fMRI Reveals Inter-subject Synchrony Alteration in Functional Brain Activity in ADHD -- Weakly- and Semi- Supervised Graph CNN for identifying Basal Cell Carcinoma on Pathological images -- Geometric Brain Surface Network For Brain Cortical Parcellation -- Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images using 3D Mask R-CNN -- Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis -- Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram -- OCD Diagnosis via Smoothing Sparse Network and Stacked Sparse Auto-Encoder Learning -- A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism -- CNS: CycleGAN-assisted Neonatal Segmentation Model for Cross-Datasets. 330 $aThis book constitutes the refereed proceedings of the First International Workshop on Graph Learning in Medical Imaging, GLMI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019. The 21 full papers presented were carefully reviewed and selected from 42 submissions. The papers focus on major trends and challenges of graph learning in medical imaging and present original work aimed to identify new cutting-edge techniques and their applications in medical imaging. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11849 606 $aArtificial intelligence 606 $aOptical data processing 606 $aPattern recognition 606 $aApplication software 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028 615 0$aArtificial intelligence. 615 0$aOptical data processing. 615 0$aPattern recognition. 615 0$aApplication software. 615 14$aArtificial Intelligence. 615 24$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 615 24$aComputer Appl. in Social and Behavioral Sciences. 676 $a006.3 702 $aZhang$b Daoqiang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhou$b Luping$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJie$b Biao$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLiu$b Mingxia$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466431003316 996 $aGraph Learning in Medical Imaging$92504518 997 $aUNISA