05374nam 22006615 450 99646643100331620200801143018.03-030-35817-810.1007/978-3-030-35817-4(CKB)4100000009844904(DE-He213)978-3-030-35817-4(MiAaPQ)EBC5977968(PPN)250217961(EXLCZ)99410000000984490420191113d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierGraph Learning in Medical Imaging[electronic resource] First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings /edited by Daoqiang Zhang, Luping Zhou, Biao Jie, Mingxia Liu1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (IX, 182 p. 87 illus., 68 illus. in color.) Image Processing, Computer Vision, Pattern Recognition, and Graphics ;118493-030-35816-X Includes bibliographical references and index.Graph 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.This 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.Image Processing, Computer Vision, Pattern Recognition, and Graphics ;11849Artificial intelligenceOptical data processingPattern recognitionApplication softwareArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XComputer Appl. in Social and Behavioral Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/I23028Artificial intelligence.Optical data processing.Pattern recognition.Application software.Artificial Intelligence.Image Processing and Computer Vision.Pattern Recognition.Computer Appl. in Social and Behavioral Sciences.006.3Zhang Daoqiangedthttp://id.loc.gov/vocabulary/relators/edtZhou Lupingedthttp://id.loc.gov/vocabulary/relators/edtJie Biaoedthttp://id.loc.gov/vocabulary/relators/edtLiu Mingxiaedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996466431003316Graph Learning in Medical Imaging2504518UNISA