Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 (Record no. 174728)
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| fixed length control field | 11094nam a22006855i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-031-16431-6 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240423125137.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
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| fixed length control field | 220914s2022 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783031164316 |
| -- | 978-3-031-16431-6 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-031-16431-6 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA1501-1820 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA1634 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYT |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM016000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYT |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 |
| Medium | [electronic resource] : |
| Remainder of title | 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part I / |
| Statement of responsibility, etc | edited by Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2022. |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer Nature Switzerland : |
| -- | Imprint: Springer, |
| -- | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XL, 768 p. 251 illus., 239 illus. in color. |
| Other physical details | online resource. |
| 336 ## - | |
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| -- | computer |
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| -- | online resource |
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| -- | text file |
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| 490 1# - SERIES STATEMENT | |
| Series statement | Lecture Notes in Computer Science, |
| International Standard Serial Number | 1611-3349 ; |
| Volume number/sequential designation | 13431 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Brain Development and Atlases -- Progression models for imaging data with Longitudinal Variational Auto Encoders -- Boundary-Enhanced Self-Supervised Learning for Brain Structure Segmentation -- Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline -- 3D Global Fourier Network for Alzheimer’s Disease Diagnosis using Structural MRI -- CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis -- Interpretable differential diagnosis for Alzheimer’s disease and Frontotemporal dementia -- Is a PET all you need? A multi-modal study for Alzheimer’s disease using 3D CNNs -- Unsupervised Representation Learning of Cingulate Cortical Folding Patterns -- Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer’s disease detection -- Extended Electrophysiological Source Imaging with Spatial Graph Filters -- DWI and Tractography -- Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data -- Atlas-powered deep learning (ADL) - application to diffusion weighted MRI -- One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation -- Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner -- An adaptive network with extragradient for diffusion MRI-based microstructure estimation -- Shape-based features of white matter fiber-tracts associated with outcome in Major Depression Disorder -- White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning -- Segmentation of Whole-brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points -- TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers -- Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression -- Functional Brain Networks -- Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification -- Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome -- Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network -- Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network -- Interpretable signature of consciousness in resting-state functional network brain activity -- Nonlinear Conditional Time-varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels -- fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits -- Multi-head Attention-based Masked Sequence Model for Mapping Functional Brain Networks -- Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template Learning -- RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis -- Modelling Cycles in Brain Networks with the Hodge Laplacian -- Predicting Spatio-Temporal Human Brain Response Using fMRI -- Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer -- Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior -- Embedding Human Brain Function via Transformer -- How Much to Aggregate: Learning Adaptive Node-wise Scales on Graphs for Brain Networks -- Combining multiple atlases to estimate data-driven mappings between functional connectomes using optimal transport -- The Semi-constrained Network-Based Statistic (scNBS): integrating local and global information for brain network inference -- Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder -- Neuroimaging -- Characterization of brain activity patterns across states of consciousness based on variational auto-encoders -- Conditional VAEs for confound removal and normative modelling of neurodegenerative diseases -- Semi-supervised learning with data harmonisation for biomarker discovery from resting state fMRI -- Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning -- Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer’s Disease -- Heart and Lung Imaging -- AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images -- Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans -- What Makes for Automatic Reconstruction of Pulmonary Segments -- CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs -- Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation -- Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision -- Diffusion Deformable Model for 4D Temporal Medical Image Generation -- SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-Sequence MRI Diagnosis -- Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification -- Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View -- CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays -- Reinforcement learning for active modality selection during diagnosis -- Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings -- Attention mechanisms for physiological signal deep learning: which attention should we take? -- Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance -- Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose -- RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment -- A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000.-LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection -- Consistency-based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification -- Self-Rating Curriculum Learning for Localization and Segmentation of Tuberculosis on Chest Radiograph -- Rib Suppression in Digital Chest Tomosynthesis -- Multi-Task Lung Nodule Detection in Chest Radiographs with a Dual Head Network -- Dermatology -- Data-Driven Deep Supervision for Skin Lesion Classification -- Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images -- FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis -- Reliability-aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies. . |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Image processing |
| General subdivision | Digital techniques. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer vision. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Application software. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Education |
| General subdivision | Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Social sciences |
| General subdivision | Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Biomedical engineering. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Imaging, Vision, Pattern Recognition and Graphics. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer and Information Systems Applications. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine Learning. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computers and Education. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Application in Social and Behavioral Sciences. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Biomedical Engineering and Bioengineering. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Wang, Linwei. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Dou, Qi. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Fletcher, P. Thomas. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Speidel, Stefanie. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Li, Shuo. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783031164309 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783031164323 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Lecture Notes in Computer Science, |
| -- | 1611-3349 ; |
| Volume number/sequential designation | 13431 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-031-16431-6">https://doi.org/10.1007/978-3-031-16431-6</a> |
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| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-CSE-Springer |
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