Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 (Record no. 89497)
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| 000 -LEADER | |
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| fixed length control field | 11983nam a22006495i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-030-59728-3 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730174544.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 201002s2020 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783030597283 |
| -- | 978-3-030-59728-3 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-030-59728-3 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA1634 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQV |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM016000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQV |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.37 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 |
| Medium | [electronic resource] : |
| Remainder of title | 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII / |
| Statement of responsibility, etc. | edited by Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2020. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Cham : |
| Name of producer, publisher, distributor, manufacturer | Springer International Publishing : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XXXVII, 817 p. 30 illus. |
| Other physical details | online resource. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Encoding format | |
| Source | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Image Processing, Computer Vision, Pattern Recognition, and Graphics, |
| International Standard Serial Number | 3004-9954 ; |
| Volume/sequential designation | 12267 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Brain Development and Atlases -- A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer's Disease -- A computational framework for dissociating development-related from individually variable flexibility in regional modularity assignment in early infancy -- Domain-invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains -- Parkinson's Disease Detection from fMRI-derived Brainstem Regional Functional Connectivity Networks -- Persistent Feature Analysis of Multimodal Brain Networks Using Generalized Fused Lasso for EMCI Identification -- Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN based Generative Adversarial Network -- From Connectomic to Task-evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-state Functional Connectivity -- Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting -- COVLET: Covariance-based Wavelet-like Transform for Statistical Analysis of Brain Characteristics in Children -- Species-Shared and -Specific Structural Connections Revealed by Dirty Multi-Task Regression -- Self-weighted Multi-Task Learning for Subjective Cognitive Decline Diagnosis -- Unified Brain Network with Functional and Structural Data -- Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease -- Infant Cognitive Scores Prediction With Multi-stream Attention-based Temporal Path Signature Features -- Masked Multi-Task Network for Case-level Intracranial Hemorrhage Classification in Brain CT Volumes -- Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates -- Supervised Multi-topology Network Cross-diffusion for Population-Driven Brain Network Atlas Estimation -- Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast -- BDB-Net: Boundary-enhanced DualBranch Network for Whole Brain Segmentation -- Brain Age Estimation From MRI Using a Two-Stage Cascade Network with a Ranking Loss -- Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation -- Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmüller Map in Retinotopic Mapping -- Multi-Scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection -- Construction of Spatiotemporal Infant Cortical Surface Functional Templates -- DWI and Tractography -- Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles -- Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity -- White Matter Tract Segmentation with Self-supervised Learning -- Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks -- Tractogram filtering of anatomically non-plausible fibers with geometric deep learning -- Unsupervised Deep Learning for Susceptibility Distortion Correction in Connectome Imaging -- Hierarchical geodesic modeling on the diffusion orientation distribution function for longitudinal DW-MRI analysis -- TRAKO: Efficient Transmission of Tractography Data for Visualization -- Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report Generation -- Trajectories from Distribution-valued Functional Curves: A Unified Wasserstein Framework -- Characterizing Intra-Soma Diffusion with Spherical Mean Spectrum Imaging -- Functional Brain Networks -- Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold -- Neural Architecture Search for Optimization of Spatial-temporal Brain Network Decomposition -- Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer's Disease Analysis -- Enriched Representation Learning in Resting-State fMRI for Early MCI Diagnosis -- Whole MILC: generalizing learned dynamics across tasks, datasets, and populations -- A physics-informed geometric learning model for pathological tau spread in Alzheimer's disease -- A deep pattern recognition approach for inferring respiratory volume fluctuations from fMRI data -- A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism -- Poincare embedding reveals edge-based functional networks of the brain -- The constrained network-based statistic: a new level of inference for neuroimaging -- Learning Personal Representations from fMRIby Predicting Neurofeedback Performance -- A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data -- Detecting Changes of Functional Connectivity by Dynamic Graph Embedding Learning -- Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE) -- Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification -- Global Diffeomorphic Phase Alignment of Time-series from Resting-state fMRI Data -- Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis -- A shared neural encoding model for the prediction of subject-specific fMRI response -- Neuroimaging -- Topology-Aware Generative Adversarial Network for Joint Prediction of Multiple Brain Graphs from a Single Brain Graph -- Edge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction -- Fisher-Rao Regularized Transport Analysis of the Glymphatic System and Waste Drainage -- Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline -- Differentiable Deconvolution for Improved Stroke Perfusion Analysis -- Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder -- Deep Representation Learning For Multimodal Brain Networks -- Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis -- Patch-based abnormality maps for improved deep learning-based classification of Huntington's disease -- A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation -- Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE -- Spatial Component Analysis to Mitigate Multiple Testing in Voxel-Based Analysis -- MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases -- PIANO: Perfusion Imaging via Advection-diffusion -- Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data -- Image-level Harmonization of Multi-Site Data using Image-and-Spatial Transformer Networks -- A Disentangled Latent Space for Cross-Site MRI Harmonization -- Automated Acquisition Planning for Magnetic Resonance Spectroscopy in Brain Cancer -- Positron Emission Tomography -- Simultaneous Denoising and Motion Estimation for Low-dose Gated PET using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning -- Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy -- Multi-Modality Information Fusionfor Radiomics-based Neural Architecture Search -- Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network -- Rethinking PET Image Reconstruction: Ultra-Low-Dose, Sinogram and Deep Learning -- Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network -- Collimatorless Scintigraphy for Imaging Extremely Low Activity Targeted Alpha Therapy (TAT) with Weighted Robust Least Square (WRLS). |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: segmentation; shape models and landmark detection Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer vision. |
| 9 (RLIN) | 113018 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence. |
| 9 (RLIN) | 3407 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Social sciences |
| General subdivision | Data processing. |
| 9 (RLIN) | 83360 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Education |
| General subdivision | Data processing. |
| 9 (RLIN) | 82607 |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer Vision. |
| 9 (RLIN) | 113019 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial Intelligence. |
| 9 (RLIN) | 3407 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer Application in Social and Behavioral Sciences. |
| 9 (RLIN) | 31815 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computers and Education. |
| 9 (RLIN) | 41129 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Martel, Anne L. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 113020 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Abolmaesumi, Purang. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 113021 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Stoyanov, Danail. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 113022 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mateus, Diana. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 113023 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Zuluaga, Maria A. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 113024 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Zhou, S. Kevin. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 113025 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Racoceanu, Daniel. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 113026 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Joskowicz, Leo. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 113027 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 9 (RLIN) | 113028 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030597276 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030597290 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Image Processing, Computer Vision, Pattern Recognition, and Graphics, |
| International Standard Serial Number | 3004-9954 ; |
| Volume/sequential designation | 12267 |
| 9 (RLIN) | 113029 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-030-59728-3">https://doi.org/10.1007/978-3-030-59728-3</a> |
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| -- | ZDB-2-LNC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-Lecture Notes in CS |
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