LEADER 04865oam 2200733I 450 001 9910457023203321 005 20200520144314.0 010 $a1-135-19629-X 010 $a1-135-19630-3 010 $a1-282-97517-X 010 $a9786612975172 010 $a0-203-86980-X 024 7 $a10.4324/9780203869802 035 $a(CKB)2550000000002172 035 $a(EBL)465370 035 $a(OCoLC)574760499 035 $a(SSID)ssj0000344061 035 $a(PQKBManifestationID)11263666 035 $a(PQKBTitleCode)TC0000344061 035 $a(PQKBWorkID)10292030 035 $a(PQKB)10648802 035 $a(MiAaPQ)EBC465370 035 $a(Au-PeEL)EBL465370 035 $a(CaPaEBR)ebr10361709 035 $a(CaONFJC)MIL297517 035 $a(OCoLC)860759337 035 $a(EXLCZ)992550000000002172 100 $a20180706d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aUnderstanding non-monogamies /$fedited by Meg Barker and Darren Langdridge 210 1$aNew York :$cRoutledge,$d2010. 215 $a1 online resource (325 p.) 225 1 $aRoutledge research in gender and society ;$v23 300 $aDescription based upon print version of record. 311 $a0-415-65296-0 311 $a0-415-80055-2 320 $aIncludes bibliographical references and index. 327 $aBook Cover; Title; Copyright; Contents; Figures; Part I Situating Non-Monogamies; 1 Introduction; 2 Deconstructing Monogamy: Boundaries, Identities, and Fluidities across Relationships; Part II Representing Non-Monogamies; 3 Non-Monogamy and Fiction; 4 'Science Says She's Gotta Have It': Reading for Racial Resonances in Woman-Centered Poly Literature; 5 Discursive Constructions of Polyamory in Mono-Normative Media Culture; Part III Distinguishing Non-Monogamies; 6 Relationship Innovation in Male Couples; 7 Swinging: Pushing the Boundaries of Monogamy? 327 $a8 There Were Three in the Bed: Discursive Desire and the Sex Lives of Swingers9 Geeks, Goddesses, and Green Eggs: Political Mobilization and the Cultural Locus of the Polyamorous Community in the San Francisco Bay Area; 10 Social Sex: Young Women and Early Sexual Relationships; Part IV Intersecting Non-Monogamies; 11 Paradoxes in Gender Relations: [Post] Feminism and Bisexual Polyamory; 12 Trans and Non-Monogamies; 13 'Many Partners, Many Friends': Gay and Bisexual Mormon Men's Views of Non-Monogamous Relationships 327 $a14 Non-Monogamy in Queer BDSM Communities: Putting the Sex Back into Alternative Relationship Practices and Discourse15 Asexual Relationships: What Does Asexuality Have to Do with Polyamory?; 16 Disability and Polyamory: Exploring the Edges of Inter-Dependence, Gender and Queer Issues in Non-Monogamous Relationships; Part V Extending Non-Monogamies; 17 Strategies in Polyamorous Parenting; 18 'To Pass, Border or Pollute': Polyfamilies Go to School; 19 Developing a 'Responsible' Foster Care Praxis: Poly as a Framework for Examining Power and Propriety in Family Contexts 327 $aPart IV Counseling Non-Monogamies20 The Power Mechanisms of Jealousy; 21 Making Friends with Jealousy: Therapy with Polyamorous Clients; 22 Promiscuities: Politics, Imagination, Spirituality and Hypocrisy; Part VII Theorizing Non-Monogamies; 23 Conditions of Freedom in Practices of Non-Monogamous Commitment; 24 Sex, Space and Discourse: Non/Monogamy and Intimate Privilege in the Public Sphere; 25 What's Queer about Non-Monogamy Now?; 26 Love without Borders?: Intimacy, Identity and the State of Compulsory Monogamy; References; Contributors; Index 330 $aMost social scientific work on intimate relationships has assumed a monogamous structure, or has considered anything other than monogamy only in the context of 'infidelity'. Yet, in recent years there has been a growing interest among researchers and the public in exploring various patterns of intimacy that involve open non-monogamy. This volume gathers contributions from academics, activists, and practitioners throughout the world to explore non-monogamous relationships. Featuring both empirical and theoretical pieces, contributors examine the history and cultural basis of various forms of 410 0$aRoutledge research in gender and society ;$v23. 606 $aNon-monogamous relationships 606 $aBisexuality 606 $aGroup sex 608 $aElectronic books. 615 0$aNon-monogamous relationships. 615 0$aBisexuality. 615 0$aGroup sex. 676 $a306.84/23 701 $aBarker$b Meg$0937186 701 $aLangdridge$b Darren$0953776 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910457023203321 996 $aUnderstanding non-monogamies$92156505 997 $aUNINA LEADER 13399nam 22007095 450 001 996466178703316 005 20200705045314.0 010 $a3-030-32248-3 024 7 $a10.1007/978-3-030-32248-9 035 $a(CKB)4100000009522940 035 $a(DE-He213)978-3-030-32248-9 035 $a(MiAaPQ)EBC5968212 035 $a(PPN)256282943 035 $a(EXLCZ)994100000009522940 100 $a20191009d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMedical Image Computing and Computer Assisted Intervention ? MICCAI 2019$b[electronic resource] $e22nd International Conference, Shenzhen, China, October 13?17, 2019, Proceedings, Part III /$fedited by Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XXXVIII, 888 p. 359 illus., 314 illus. in color.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11766 300 $aIncludes index. 311 $a3-030-32247-5 327 $aNeuroimage Reconstruction and Synthesis -- Isotropic MRI Super-Resolution Reconstruction with Multi-Scale Gradient Field Prior -- A Two-Stage Multi-Loss Super-Resolution Network For Arterial Spin Labeling Magnetic Resonance Imaging -- Model Learning: Primal Dual Networks for Fast MR imaging -- Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging -- Joint Reconstruction of PET + Parallel-MRI in a Bayesian Coupled-Dictionary MRF Framework -- Deep Learning Based Framework for Direct Reconstruction of PET Images -- Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction -- Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans using Sparse Fidelity Loss and Adversarial Regularization -- Single Image Based Reconstruction of High Field-like MR Images -- Deep Neural Network for QSM Background Field Removal -- RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting -- RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting -- GANReDL: Medical Image enhancement using a generative adversarial network with real-order derivative induced loss functions -- Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks -- Semi-Supervised VAE-GAN for Out-of-Sample Detection Applied to MRI Quality Control -- Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-Modal Neuroimages -- Predicting the Evolution of White Matter Hyperintensities in Brain MRI using Generative Adversarial Networks and Irregularity Map -- CoCa-GAN: Common-feature-learning-based Context-aware Generative Adversarial Network for Glioma Grading -- Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression -- Neuroimage Segmentation -- Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation -- 3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI -- Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants -- VoteNet: A Deep Learning Label Fusion Method for Multi-Atlas Segmentation -- Weakly Supervised Brain Lesion Segmentation via Attentional Representation Learning -- Scalable Neural Architecture Search for 3D Medical Image Segmentation -- Unified Attentional Generative Adversarial Network for Brain Tumor Segmentation From Multimodal Unpaired Images -- High Resolution Medical Image Segmentation using Data-swapping Method -- X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies -- Multi-View Semi-supervised 3D Whole Brain Segmentation with a Self-Ensemble Network -- CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke -- Brain Segmentation from k-space with End-to-end Recurrent Attention Network -- Spatial Warping Network for 3D Segmentation of the Hippocampus in MR Images -- CompareNet: Anatomical Segmentation Network with Deep Non-local Label Fusion -- A Joint 3D+2D Fully Convolutional Framework for Subcortical Segmentation -- U-ReSNet: Ultimate coupling of Registration and Segmentation with deep Nets -- Generative adversarial network for segmentation of motion affected neonatal brain MRI -- Interactive deep editing framework for medical image segmentation -- Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked Slices -- Improving Multi-Atlas Segmentation by Convolutional Neural Network Based Patch Error Estimation -- Unsupervised deep learning for Bayesian brain MRI segmentation -- Online atlasing using an iterative centroid -- ARS-Net: Adaptively Rectified Supervision Network for Automated 3D Ultrasound Image Segmentation -- Complete Fetal Head Compounding from Multi-View 3D Ultrasound -- SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation -- Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation -- RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation -- Deep Cascaded Attention Networks for Multi-task Brain Tumor Segmentation -- Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation -- 3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation -- Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion -- Multi-task Attention-based Semi-supervised Learning for Medical Image Segmentation -- AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation -- Automated Parcellation of the Cortex using Structural Connectome Harmonics -- Hierarchical parcellation of the cerebellum -- Intrinsic Patch-based Cortical Anatomical Parcellation using Graph Convolutional Neural Network on Surface Manifold -- Cortical Surface Parcellation using Spherical Convolutional Neural Networks -- A Soft STAPLE Algorithm Combined with Anatomical Knowledge -- Diffusion Weighted Magnetic Resonance Imaging -- Multi-Stage Image Quality Assessment of Diffusion MRI via Semi-Supervised Nonlocal Residual Networks -- Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks -- Surface-based Tracking of U-fibers in the Superficial White Matter -- Probing Brain Micro-Architecture by Orientation Distribution Invariant Identification of Diffusion Compartments -- Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments -- Topographic Filtering of Tractograms as Vector Field Flows -- Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE -- Super-Resolved q-Space Deep Learning -- Joint Identification of Network Hub Nodes by Multivariate Graph Inference -- Deep white matter analysis: 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 connectivity 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. 330 $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. 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