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Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 (Record no. 200459662)

MARC details
000 -LEADER
fixed length control field	10668nam a22006615i 4500
001 - CONTROL NUMBER
control field	978-3-030-87199-4
003 - CONTROL NUMBER IDENTIFIER
control field	DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20241121090047.0
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	210923s2021 sz \| s \|\|\|\| 0\|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number	9783030871994
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code	10.1007/978-3-030-87199-4
Source of number or code	doi
040 ## - CATALOGING SOURCE
Original cataloging agency	TR-AnTOB
Language of cataloging	eng
Description conventions	rda
Transcribing agency	TR-AnTOB
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title	İngilizce
060 ## - NATIONAL LIBRARY OF MEDICINE CALL NUMBER
Classification number	WN 180
072 #7 - SUBJECT CATEGORY CODE
Subject category code	UYQV
Source	bicssc

Subject category code	COM012000
Source	bisacsh

Subject category code	UYQV
Source	thema
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 III /
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	XXXVI, 648 p. 200 illus., 185 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	PDF
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	12903
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note	Machine Learning - Advances in Machine Learning Theory -- Towards Robust General Medical Image Segmentation -- Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation -- Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning -- A Hierarchical Feature Constraint to CamouflageMedical Adversarial Attacks -- Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation -- Machine Learning - Attention models -- UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation -- AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation -- Continuous-Time Deep Glioma Growth Models -- Spine-Transformers: Vertebra Detection and Localization in Arbitrary Field-of-View Spine CT with Transformers -- Multi-view analysis of unregistered medical images using cross-view transformers -- Machine Learning - Domain Adaptation -- Stain Mix-up: Unsupervised Domain Generalization for Histopathology Images -- A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation -- Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis -- Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation -- Controllable cardiac synthesis via disentangled anatomy arithmetic -- CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation -- Harmonization with Flow-based Causal Inference -- Uncertainty-Aware Label Rectification for Domain Adaptive Mitochondria Segmentation -- Semantic Consistent Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation -- Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation -- FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos -- Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction -- Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation -- Fully Test-time Adaptation for Image Segmentation -- OLVA: Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation -- Prototypical Interaction Graph for Unsupervised Domain Adaptation in Surgical Instrument Segmentation -- Unsupervised Domain Adaptation for Small Bowel Segmentation using Disentangled Representation -- Data-driven mapping between functional connectomes using optimal transport -- EndoUDA: A modality independent segmentation approach for endoscopy imaging -- Style Transfer Using Generative Adversarial Networks for Multi-Site MRI Harmonization -- Machine Learning - Federated Learning -- Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching -- FedPerl: Semi-Supervised Peer Learning for Skin Lesion Classification -- Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning -- Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures -- Federated Contrastive Learning for Volumetric Medical Image Segmentation -- Federated Contrastive Learning for Decentralized Unlabeled Medical Images -- Machine Learning - Interpretability / Explainability -- Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features -- Demystifying T1-MRI to FDG18-PET Image Translation via Representational Similarity -- Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation -- An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma -- Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data -- SPARTA: An Integrated Stability, Discriminability, and Sparsity based Radiomic Feature Selection Approach -- The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization for Medical Image Segmentation -- Fighting Class Imbalance with Contrastive Learning -- Interpretable gender classification from retinal fundus images using BagNets -- Explainable Classification of Weakly Annotated Wireless Capsule Endoscopy Images based on a Fuzzy Bag-of-Colour Features Model and Brain Storm Optimization -- Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models -- A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging -- Using Causal Analysis for Conceptual Deep Learning Explanation -- A spherical convolutional neural network for white matter structure imaging via diffusion MRI -- Sharpening Local Interpretable Model-agnostic Explanations for Histopathology: Improved Understandability and Reliability -- Improving the Explainability of Skin Cancer Diagnosis Using CBIR -- PAC Bayesian Performance Guarantees for (Stochastic) Deep Networks in Medical Imaging -- Machine Learning - Uncertainty -- Medical Matting: A New Perspective on Medical Segmentation with Uncertainty -- Confidence-aware Cascaded Network for Fetal Brain Segmentation on MR Images -- Orthogonal Ensemble Networks for Biomedical Image Segmentation -- Learning to Predict Error for MRI Reconstruction -- Uncertainty-Guided Progressive GANs for Medical Image Translation -- Variational Topic Inference for Chest X-Ray Report Generation -- Uncertainty Aware Deep Reinforcement Learning for Anatomical Landmark Detection in Medical Images.
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)	2455

Topical term or geographic name entry element	Artificial intelligence.

Topical term or geographic name entry element	Pattern recognition systems.
9 (RLIN)	1133

Topical term or geographic name entry element	Bioinformatics.
9 (RLIN)	1895

Topical term or geographic name entry element	Medical informatics.
9 (RLIN)	143530

Topical term or geographic name entry element	Computer Vision.
9 (RLIN)	2455

Topical term or geographic name entry element	Artificial Intelligence.

Topical term or geographic name entry element	Automated Pattern Recognition.

Topical term or geographic name entry element	Computational and Systems Biology.

Topical term or geographic name entry element	Health Informatics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	de Bruijne, Marleen.
Relator term	editor.
Authority record control number or standard number	(orcid)0000-0002-6328-902X
Relator code	edt
--	http://id.loc.gov/vocabulary/relators/edt

Personal name	Cattin, Philippe C.
Relator term	editor.
Authority record control number or standard number	(orcid)0000-0001-8785-2713
Relator code	edt
--	http://id.loc.gov/vocabulary/relators/edt

Personal name	Cotin, Stéphane.
Relator term	editor.
Authority record control number or standard number	(orcid)0000-0002-2661-505X
Relator code	edt
--	http://id.loc.gov/vocabulary/relators/edt

Personal name	Padoy, Nicolas.
Relator term	editor.
Authority record control number or standard number	(orcid)0000-0002-5010-4137
Relator code	edt
--	http://id.loc.gov/vocabulary/relators/edt

Personal name	Speidel, Stefanie.
Relator term	editor.
Authority record control number or standard number	(orcid)0000-0002-4590-1908
Relator code	edt
--	http://id.loc.gov/vocabulary/relators/edt

Personal name	Zheng, Yefeng.
Relator term	editor.
Authority record control number or standard number	(orcid)0000-0003-2195-2847
Relator code	edt
--	http://id.loc.gov/vocabulary/relators/edt

Personal name	Essert, Caroline.
Relator term	editor.
Authority record control number or standard number	(orcid)0000-0003-2572-9730
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)
9 (RLIN)	59873
773 0# - HOST ITEM ENTRY
Title	Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information	Printed edition:
International Standard Book Number	9783030871987

Relationship information	Printed edition:
International Standard Book Number	9783030872007
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	12903
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier	<a href="https://doi.org/10.1007/978-3-030-87199-4">https://doi.org/10.1007/978-3-030-87199-4</a>
Materials specified	Springer Nature eBook
Public note	Online access link to the resource
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type	E-Book
Source of classification or shelving scheme	Library of Congress Classification

Holdings
Withdrawn status	Lost status	Source of classification or shelving scheme	Not for loan	Collection code	Home library	Current library	Date acquired	Source of acquisition	Cost, normal purchase price	Inventory number	Full call number	Barcode	Date last seen	Cost, replacement price	Date shelved	Koha item type	Public note
		Library of Congress Classification	Geçerli değil-e-Kitap / Not applicable-e-Book	E-Kitap Koleksiyonu	Tıp Fakültesi Medikal Kütüphane	Merkez Kütüphane	01/01/2024	Satın Alma / Purchase	0.00	BİL/TIP/YAP	WN 180EBK	EBK03555	01/01/2024	0.00	01/01/2024	E-Book