LEADER 12876nam 22006735 450 001 996466191303316 005 20200705045424.0 010 $a3-030-32245-9 024 7 $a10.1007/978-3-030-32245-8 035 $a(CKB)4100000009522939 035 $a(DE-He213)978-3-030-32245-8 035 $a(MiAaPQ)EBC5968234 035 $a(PPN)255296347 035 $a(EXLCZ)994100000009522939 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] $e22nd International Conference, Shenzhen, China, October 13?17, 2019, Proceedings, Part II /$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, 874 p.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11765 311 $a3-030-32244-0 327 $aImage Segmentation -- Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation -- Comparative Evaluation of Hand-Engineered and Deep-Learned Features for Neonatal Hip Bone Segmentation in Ultrasound -- Unsupervised Quality Control of Image Segmentation based on Bayesian Learning -- One Network To Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation -- 'Project & Excite' Modules for Segmentation of Volumetric Medical Scans -- Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation -- Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation -- Extreme Points Derived Confidence Map as a Cue For Class-Agnostic Segmentation Using Deep Neural Network -- Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation -- Instance Segmentation from Volumetric Biomedical Images without Voxel-Wise Labeling -- Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice -- Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation -- HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images -- PHiSeg: Capturing Uncertainty in Medical Image Segmentation -- Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data -- Supervised Uncertainty Quantification for Segmentation with Multiple Annotations -- 3D Tiled Convolution for Effective Segmentation of Volumetric Medical Images -- Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation -- Statistical intensity- and shape-modeling to automate cerebrovascular segmentation from TOF-MRA data -- Segmentation of Vessels in Ultra High Frequency Ultrasound Sequences using Contextual Memory -- Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion -- Mixed-Supervised Dual-Network for Medical Image Segmentation -- Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks -- Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation -- Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images -- Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation -- Radiomics-guided GAN for Segmentation of Liver Tumor without Contrast Agents -- Liver Segmentation in Magnetic Resonance Imaging via Mean Shape Fitting with Fully Convolutional Neural Networks -- Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation -- Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss -- Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation -- Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation -- 3D U2-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation -- Impact of Adversarial Examples on Deep Learning Segmentation Models -- Multi-Resolution Path CNN with Deep Supervision for Intervertebral Disc Localization and Segmentation -- Automatic paraspinal muscle segmentation in patients with lumbar pathology using deep convolutional neural network -- Constrained Domain Adaptation for Segmentation -- Image Registration -- Image-and-Spatial Transformer Networks for Structure-Guided Image Registration -- Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration -- A deep learning approach to MR-less spatial normalization for tau PET images -- TopAwaRe: Topology-Aware Registration -- Multimodal Data Registration for Brain Structural Association Networks -- Dual-Stream Pyramid Registration Network -- A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration -- Conditional Segmentation in Lieu of Image Registration -- On the applicability of registration uncertainty -- DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation -- Linear Time Invariant Model based Motion Correction (LiMo-Moco) of Dynamic Radial Contrast Enhanced MRI -- Incompressible image registration using divergence-conforming B-splines -- Cardiovascular Imaging -- Direct Quantification for Coronary Artery Stenosis Using Multiview Learning -- Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization -- Discriminative Coronary Artery Tracking via 3D CNN in Cardiac CT Angiography -- Multi-modality Whole-Heart and Great Vessel Segmentation in Congenital Heart Disease using Deep Neural Networks and Graph Matching -- Harmonic Balance Techniques in Cardiovascular Fluid Mechanics -- Deep learning within a priori temporal feature spaces for large-scale dynamic MR image reconstruction: Application to 5-D cardiac MR Multitasking -- k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations -- Model-based reconstruction for highly accelerated first-pass perfusion cardiac MRI -- Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view images -- Right Ventricle Segmentation in Short-Axis MRI Using A Shape Constrained Dense Connected U-net -- Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction -- A Fine-Grain Error Map Prediction and Segmentation Quality Assessment Framework for Whole-Heart Segmentation -- Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors -- Curriculum semi-supervised segmentation -- A Multi-modal Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information -- 3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata -- Discriminative Consistent Domain Generation for Semi-supervised Learning -- Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation -- MSU-Net: Multiscale Statistical U-Net for Real-time 3D Cardiac MRI Video Segmentation -- The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN -- Cardiac MRI Segmentation with Strong Anatomical Guarantees -- Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images -- Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets -- Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks -- Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation -- Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation -- Echocardiography View Classification Using Quality Transfer Star Generative Adversarial Networks -- Dual-view Joint Estimation of Left Ventricular Ejection Fraction with Uncertainty Modelling in Echocardiograms -- Frame Rate Up-Conversion in Echocardiography Using a Conditioned Variational Autoencoder and Generative Adversarial Model -- Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images -- DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning -- Texture-based classification of significant stenosis in CCTA multi-view images of coronary arteries -- Fourier Spectral Dynamic Data Assimilation: Interlacing CFD with 4D flow MRI -- Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging -- HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion -- Spectral CT based training dataset generation and augmentation for conventional CT vascular segmentation -- Context-Aware Inductive Bias Learning for Vessel Border Detection in Multi-modal Intracoronary Imaging -- Growth, Development, Atrophy and Progression -- Neural parameters estimation for brain tumor growth modeling -- Learning-Guided Infinite Network Atlas Selection for Predicting Longitudinal Brain Network Evolution from a Single Observation -- Deep Probabilistic Modeling of Glioma Growth -- Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brains -- Variational Autoencoder for Regression: Application to Brain Aging Analysis -- Early Development of Infant Brain Complex Network -- Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties -- Continually Modeling Alzheimer's Disease Progression via Deep Multi-Order Preserving Weight Consolidation -- Disease Knowledge Transfer across Neurodegenerative Diseases. 330 $aThe six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy. Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression. Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging. Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis. Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11765 606 $aOptical data processing 606 $aPattern recognition 606 $aArtificial intelligence 606 $aHealth informatics 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 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23060 615 0$aOptical data processing. 615 0$aPattern recognition. 615 0$aArtificial intelligence. 615 0$aHealth informatics. 615 14$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 615 24$aArtificial Intelligence. 615 24$aHealth Informatics. 676 $a006.6 676 $a006.37 702 $aShen$b Dinggang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLiu$b Tianming$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPeters$b Terry M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aStaib$b Lawrence H$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aEssert$b Caroline$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhou$b Sean$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYap$b Pew-Thian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKhan$b Ali$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996466191303316 996 $aMedical Image Computing and Computer Assisted Intervention ? MICCAI 2019$92513530 997 $aUNISA LEADER 05459nam 22007335 450 001 9910983051603321 005 20251225183632.0 010 $a9789819601783$b(electronic bk.) 010 $z9789819601776 024 7 $a10.1007/978-981-96-0178-3 035 $a(MiAaPQ)EBC31784440 035 $a(Au-PeEL)EBL31784440 035 $a(CKB)36590103200041 035 $a(DE-He213)978-981-96-0178-3 035 $a(OCoLC)1472987600 035 $a(EXLCZ)9936590103200041 100 $a20241116d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aKnowledge and Systems Sciences $e23rd International Symposium, KSS 2024, Hobart, TAS, Australia, November 16?17, 2024, Proceedings /$fedited by Xijin Tang, Van Nam Huynh, Haoxiang Xia, Quan Bai 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (357 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2269 311 08$aPrint version: Tang, Xijin Knowledge and Systems Sciences Singapore : Springer,c2024 9789819601776 327 $a -- Complex Networks and Modeling . -- The Temporal Structural Pattern in Scientific Collaborative Behavior from the Perspective of Complex Network. -- The Analysis of Innovation Network in China?s Hydrogen Energy Industry from the Perspective of Patents. -- Construction and Evaluation of a Subjects Synergistic Network for Cross-regional Major Infectious Disease Emergency Response. -- Evolution of cumulative reciprocity in structured populations. -- Opinion Dynamics. -- Simulating Social Network Dynamics with LLM Agents: An Analysis of Information Propagation and Echo Chambers. -- How Public Opinion Risks in Social Hot Events Are Generated: A fsQCA Perspective. -- Vulnerability Measurement of Social Media Users to Online Public Opinion in Emergency Context. -- Analyzing Replies and Interactions among Users with Different Stances: A Case Study of the Russia Ukraine Conflict. -- Explainable Machine Learning-based Research on Key Factors in the Formation of Public Opinion on Similar Events. -- Knowledge Technologies and Systems Engineering. -- UMCap: User Memory Augmented Method for Personalized Image Descriptions. -- Research on the Construction Method of Island Chain Knowledge Graph. -- A Knowledge and Data Driven Method for Air Combat Intention Recognition. -- Model-Based Systems Engineering Supporting Architecture Modeling of Air Traffic Management System and Model Verifying Based on SMT. -- Mission Modeling for the Perseverance Rover based on KARMA Language. -- Social Media oriented Fake News Detection based on Social Context and Cascade Graph. -- Data Augmentation Using Large Language Model for Fake Review Identification. -- Knowledge Management. -- Digital Transformation Mechanisms for Emergency Management in Chemical Enterprises: An Industrial Agglomeration Perspective. -- Research on the Credibility Evaluation Method of Online Medical Community Answer Content Based on Domain Knowledge Graph. -- A Comprehensive Framework for Sentiment Analysis and Cold-Start Recommendations in Vietnam Hospitality Sector. -- Mining Complementary Relationships of Items for Diversified Recommendation. -- A Novel Two-Stage Approach for Customer Satisfaction Analysis. -- Predicting the decision-making performance based on self-attention and long-short term memory network. -- A Domain Knowledge-based Railway Equipment Fault Diagnosis Framework. 330 $aThis book constitutes the refereed proceedings of the 23rd International Symposium on Knowledge and Systems Sciences, KSS 2024, held in Hobart, Tasmania, Australia, during November 16?17, 2024. The 23 full papers presented in this book were carefully reviewed and selected from 50 submissions. They are organized in the following topical sections: Complex networks and modeling; Opinion dynamics; Knowledge technologies and systems engineering; Knowledge management. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2269 606 $aData mining 606 $aArtificial intelligence 606 $aDatabase management 606 $aComputer networks 606 $aData structures (Computer science) 606 $aInformation theory 606 $aData Mining and Knowledge Discovery 606 $aArtificial Intelligence 606 $aDatabase Management 606 $aComputer Communication Networks 606 $aData Structures and Information Theory 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aDatabase management. 615 0$aComputer networks. 615 0$aData structures (Computer science) 615 0$aInformation theory. 615 14$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aDatabase Management. 615 24$aComputer Communication Networks. 615 24$aData Structures and Information Theory. 676 $a006.312 700 $aTang$b Xijin$01448634 701 $aHuynh$b Van-Nam$01434764 701 $aXia$b Haoxiang$01784457 701 $aBai$b Quan$01782731 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910983051603321 996 $aKnowledge and Systems Sciences$94316066 997 $aUNINA