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000915831 019__ $$a1125988447$$a1126628882
000915831 020__ $$a9783030322489$$q(electronic book)
000915831 020__ $$a3030322483$$q(electronic book)
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000915831 0247_ $$a10.1007/978-3-030-32248-9$$2doi
000915831 0247_ $$a10.1007/978-3-030-32
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000915831 049__ $$aISEA
000915831 050_4 $$aRC78.7.D53
000915831 08204 $$a616.07/57$$223
000915831 1112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(22nd :$$d2019 :$$cShenzhen Shi, China)
000915831 24510 $$aMedical image computing and computer assisted intervention -- MICCAI 2019 :$$b22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings.$$nPart III /$$cDinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan (eds.).
000915831 2463_ $$aMICCAI 2019
000915831 264_1 $$aCham, Switzerland :$$bSpringer,$$c2019.
000915831 300__ $$a1 online resource (xxxviii, 888 pages) :$$billustrations.
000915831 336__ $$atext$$btxt$$2rdacontent
000915831 337__ $$acomputer$$bc$$2rdamedia
000915831 338__ $$aonline resource$$bcr$$2rdacarrier
000915831 4901_ $$aLecture notes in computer science ;$$v11766
000915831 4901_ $$aLNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
000915831 500__ $$aInternational conference proceedings.
000915831 500__ $$aIncludes author index.
000915831 5050_ $$aConnectivity implicated in AD and MCI -- Interpretable Feature Learning Using Multi-Output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis -- Interpretable Multimodality Embedding Of Cerebral Cortex Using Attention Graph Network For Identifying Bipolar Disorder -- Miscellaneous Neuroimaging -- Doubly Weak Supervision of Deep Learning Models for Head CT -- Detecting Acute Strokes from Non-Contrast CT Scan Data Using Deep Convolutional Neural Networks -- FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images -- Regression-based Line Detection Network for Delineation of Largely Deformed Brain Midline -- Siamese U-Net with Healthy Template for Accurate Segmentation of Intracranial Hemorrhage -- Automated Infarct Segmentation from Follow-up Non-Contrast CT Scans in Patients with Acute Ischemic Stroke Using Dense Multi-Path Contextual Generative Adversarial Network -- Recurrent sub-volume analysis of head CT scans for the detection of intracranial hemorrhage -- Cephalometric Landmark Detection by Attentive Feature Pyramid Fusion and Regression-Voting fast, consistent tractography segmentation across populations and dMRI acquisitions -- Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling -- Optimal experimental design for biophysical modelling in multidimensional diffusion MRI -- DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography -- Fast and Scalable Optimal Transport for Brain Tractograms -- A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes -- Constructing Consistent Longitudinal Brain Networks by Group-wise Graph Learning -- Functional Neuroimaging (fMRI) -- Multi-layer temporal network analysis reveals increasing temporal reachability and spreadability in the first two years of life -- A matched filter decomposition of fMRI into resting and task components -- Identification of Abnormal Circuit Dynamics in Major Depressive Disorder via Multiscale Neural Modeling of Resting-state fMRI -- Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network -- Invertible Network for Classification and Biomarker Selection for ASD -- Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data -- Revealing Functional Connectivity by Learning Graph Laplacian -- Constructing Multi-Scale Connectome Atlas by Learning Common Topology of Brain Networks -- Autism Classification Using Topological Features and Deep Learning: A Cautionary Tale -- Identify Hierarchical Structures from Task-based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net -- A Deep Learning Framework for Noise Component Detection from Resting-state Functional MRI -- A Novel Graph Wavelet Model for Brain Multi-Scale Functional-structural Feature Fusion -- Combining Multiple Behavioral Measures and Multiple Connectomes via Multiway Canonical Correlation Analysis -- Decoding brain functional.
000915831 506__ $$aAccess limited to authorized users.
000915831 520__ $$aThe six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy. Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression. Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging. Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis. Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging.
000915831 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 15, 2019).
000915831 650_0 $$aDiagnostic imaging$$xData processing$$vCongresses.
000915831 650_0 $$aComputer-assisted surgery$$vCongresses.
000915831 7001_ $$aShen, Dinggang,$$eeditor.
000915831 7001_ $$aLiu, Tianming,$$cDr.,$$eeditor.
000915831 7001_ $$aPeters, Terry M.,$$d1948 January 5-$$eeditor.
000915831 7001_ $$aStaib, Lawrence,$$eeditor.
000915831 7001_ $$aEssert, Caroline,$$eeditor.
000915831 7001_ $$aZhou, Xiangyun Sean,$$eeditor.
000915831 7001_ $$aYap, Pew-Thian,$$eeditor.
000915831 7001_ $$aKhan, Ali,$$eeditor.
000915831 830_0 $$aLecture notes in computer science ;$$v11766.
000915831 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
000915831 852__ $$bebk
000915831 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-32248-9$$zOnline Access$$91397441.1
000915831 909CO $$ooai:library.usi.edu:915831$$pGLOBAL_SET
000915831 980__ $$aEBOOK
000915831 980__ $$aBIB
000915831 982__ $$aEbook
000915831 983__ $$aOnline
000915831 994__ $$a92$$bISE