Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 (Record no. 97060)
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fixed length control field | 12699nam a22006615i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-030-87234-2 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730202529.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
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fixed length control field | 210923s2021 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9783030872342 |
-- | 978-3-030-87234-2 |
024 7# - OTHER STANDARD IDENTIFIER | |
Standard number or code | 10.1007/978-3-030-87234-2 |
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 2021 |
Medium | [electronic resource] : |
Remainder of title | 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII / |
Statement of responsibility, etc. | edited by Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert. |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2021. |
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 | 2021. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | XXXIX, 801 p. 277 illus., 258 illus. in color. |
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 | 12907 |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Clinical Applications - Abdomen -- Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy -- Learning-based attenuation quantification in abdominal ultrasound -- Colorectal Polyp Classification from White-light Colonoscopy Images via Domain Alignment -- Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics -- Deep-Cleansing: Deep-learning based Electronic Cleansing in Dual-energy CT Colonography -- Clinical Applications - Breast -- Interactive smoothing parameter optimization in DBT Reconstruction using Deep learning -- Synthesis of Contrast-enhanced Spectral Mammograms from Low-energy Mammograms Using cGAN-Based Synthesis Network -- Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms -- Graph Transformers for Characterization and Interpretation of Surgical Margins -- Domain Generalization for Mammography Detection viaMulti-style and Multi-view Contrastive Learning -- Learned super resolution ultrasound for improved breast lesion characterization -- BI-RADS Classification of Calcification on Mammograms -- Supervised Contrastive Pre-Training for Mammographic Triage Screening Models -- Trainable summarization to improve breast tomosynthesis classification -- Clinical Applications - Dermatology -- Multi-level Relationship Capture Network for Automated Skin Lesion Recognition -- Culprit-Prune-Net: Efficient Continual Sequential Multi-Domain Learning with Application to Skin Lesion Classification -- End-to-end Ugly Duckling Sign Detection for Melanoma Identification with Transformers -- Automatic Severity Rating for Improved Psoriasis Treatment -- Clinical Applications - Fetal Imaging -- STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning -- Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps -- EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography -- AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes -- Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network -- Clinical Applications - Lung -- Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection -- M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Double Weakly Supervised Segmentation of COVID-19 -- Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs -- Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning -- RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting -- Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation -- Perceptual Quality Assessment of Chest Radiograph -- Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID19 -- Determination of error in 3D CT to 2D fluoroscopy image registration for endobronchial guidance -- Chest Radiograph Disentanglement for COVID-19 Outcome Prediction -- Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms -- LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN model of Infiltrates for COVID-19 Prognosis -- Clinical Applications - Neuroimaging - Brain Development -- Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation -- Surface-Guided Image Fusion for Preserving Cortical Details in Human Brain Templates -- Longitudinal Correlation Analysis for Decoding Multi-Modal Brain Development -- ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities -- Covariate Correcting Networks for Identifying Associations between Socioeconomic Factors and Brain Outcomes inChildren -- Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-Contrast CT Images -- Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation -- Joint PVL Detection and Manual Ability Classification using Semi-Supervised Multi-task Learning -- Clinical Applications - Neuroimaging - DWI And Tractography -- Active Cortex Tractography -- Highly Reproducible Whole Brain Parcellation in Individuals via Voxel Annotation with Fiber Clusters -- Accurate parameter estimation in fetal diffusion-weighted MRI - learning from fetal and newborn data -- Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation -- Disentangled and Proportional Representation Learning for Multi-View Brain Connectomes -- Quantifying structural connectivity in brain tumor patients -- Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Imagesfrom Multi-modal Structural MRI -- Clinical Applications - Neuroimaging - Functional Brain Networks -- Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold -- From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics -- Multi-Head GAGNN: A Multi-Head Guided Attention Graph Neural Network for Modeling Spatio-Temporal Patterns of Holistic Brain Functional Networks -- Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis -- Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates -- Efficient neural network approximation of robust PCA for automated analysis of calcium imaging data -- Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query -- Estimation of spontaneous neuronal activity using homomorphic filtering -- A Matrix Auto-encoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes -- Clinical Applications - Neuroimaging - Others -- Topological Receptive Field Model for Human Retinotopic Mapping -- SegRecon: Learning Joint Brain Surface Reconstruction and Segmentation from Images -- LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting -- Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging -- SyNCCT: Synthetic Non-Contrast Images of the Brain from Single-Energy Computed Tomography Angiography -- Local Morphological Measures Confirm that Folding within Small Partitions of the Human Cortex Follows Universal Scaling Law -- Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder -- Personalized Matching and Analysis of Cortical Folding Patterns via Patch-Based Intrinsic Brain Mapping -- Clinical Applications - Oncology -- A Location Constrained Dual-branch Network for Reliable Diagnosis of Jaw Tumors and Cysts -- Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint -- Parallel Capsule Networks for Classification of White Blood Cells -- Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy -- Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining -- Do we need complex image features to personalize treatment of patients with locally advanced rectal cancer? -- Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Computer vision. |
9 (RLIN) | 171914 |
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 | Bioinformatics. |
9 (RLIN) | 9561 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Pattern recognition systems. |
9 (RLIN) | 3953 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Medical informatics. |
9 (RLIN) | 4729 |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Computer Vision. |
9 (RLIN) | 171915 |
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 | Computational and Systems Biology. |
9 (RLIN) | 31619 |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Automated Pattern Recognition. |
9 (RLIN) | 31568 |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Health Informatics. |
9 (RLIN) | 31799 |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | de Bruijne, Marleen. |
Relator term | editor. |
Relationship | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
9 (RLIN) | 171916 |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Cattin, Philippe C. |
Relator term | editor. |
Relationship | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
9 (RLIN) | 171917 |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Cotin, Stéphane. |
Relator term | editor. |
Relationship | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
9 (RLIN) | 171918 |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Padoy, Nicolas. |
Relator term | editor. |
Relationship | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
9 (RLIN) | 171919 |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Speidel, Stefanie. |
Relator term | editor. |
Relationship | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
9 (RLIN) | 171920 |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Zheng, Yefeng. |
Relator term | editor. |
Relationship | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
9 (RLIN) | 171921 |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Essert, Caroline. |
Relator term | editor. |
Authority record control number or standard number | (orcid) |
Real World Object URI | 0000-0003-2572-9730 |
Relationship | edt |
-- | http://id.loc.gov/vocabulary/relators/edt |
9 (RLIN) | 171922 |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
9 (RLIN) | 171923 |
773 0# - HOST ITEM ENTRY | |
Title | Springer Nature eBook |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Printed edition: |
International Standard Book Number | 9783030872335 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Printed edition: |
International Standard Book Number | 9783030872359 |
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 | 12907 |
9 (RLIN) | 171924 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-030-87234-2">https://doi.org/10.1007/978-3-030-87234-2</a> |
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942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks-Lecture Notes in CS |
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