Machine Learning in Clinical Neuroimaging (Record no. 97645)

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001 - CONTROL NUMBER
control field 978-3-031-17899-3
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730203905.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031178993
-- 978-3-031-17899-3
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-17899-3
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 Machine Learning in Clinical Neuroimaging
Medium [electronic resource] :
Remainder of title 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings /
Statement of responsibility, etc. edited by Ahmed Abdulkadir, Deepti R. Bathula, Nicha C. Dvornek, Mohamad Habes, Seyed Mostafa Kia, Vinod Kumar, Thomas Wolfers.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2022.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer Nature Switzerland :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent XI, 180 p. 56 illus., 49 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 Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume/sequential designation 13596
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Morphometry -- Joint Reconstruction and Parcellation of Cortical Surfaces -- A Study of Demographic Bias in CNN-based Brain MR Segmentation -- Volume is All You Need: Improving Multi-task Multiple Instance Learning for WMH Segmentation and Severity Estimation -- Self-Supervised Test-Time Adaptation for Medical Image Segmentation -- Accurate Hippocampus Segmentation Based on Self-Supervised Learning with Fewer Labeled Data -- Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-based Network -- Weakly Supervised Intracranial Hemorrhage Segmentation using Hierarchical Combination of Attention Maps from a Swin Transformer -- Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma -- Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-protocol Volumetric Consistency -- Diagnostics, Aging, and Neurodegeneration -- Non-parametric ODE-based Disease Progression Model of Brain Biomarkers in Alzheimer's Disease -- Lifestyle Factors that Promote Brain Structural Resilience in Individuals with Genetic Risk Factors for Dementia -- Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging -- Augmenting Magnetic Resonance Imaging with Tabular Features for Enhanced and Interpretable Medial Temporal Lobe Atrophy Prediction -- Automatic Lesion Analysis for Increased Efficiency in Outcome Prediction of Traumatic Brain Injury -- Autism Spectrum Disorder Classification Based on Interpersonal Neural Synchrony: Can Classification be Improved by Dyadic Neural Biomarkers Using Unsupervised Graph Representation Learning? -- fMRI-S4: Learning Short- and Long-range Dynamic fMRI Dependencies Using 1D Convolutions and State Space Models -- Data Augmentation via Partial Nonlinear Registration for Brain-age Prediction.
520 ## - SUMMARY, ETC.
Summary, etc. This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2022, held in Conjunction with MICCAI 2022, Singapore in September 2022. The book includes 17 papers which were carefully reviewed and selected from 23 full-length submissions. The 5th international workshop on Machine Learning in Clinical Neuroimaging (MLCN2022) aims to bring together the top researchers in both machine learning and clinical neuroscience as well as tech-savvy clinicians to address two main challenges: 1) development of methodological approaches for analyzing complex and heterogeneous neuroimaging data (machine learning track); and 2) filling the translational gap in applying existing machine learning methods in clinical practices (clinical neuroimaging track). The papers are categorzied into topical sub-headings: Morphometry; Diagnostics, and Aging, and Neurodegeneration. .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision.
9 (RLIN) 177551
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
9 (RLIN) 1831
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computers.
9 (RLIN) 8172
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Social sciences
General subdivision Data processing.
9 (RLIN) 83360
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Vision.
9 (RLIN) 177552
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine Learning.
9 (RLIN) 1831
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computing Milieux.
9 (RLIN) 55441
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Application in Social and Behavioral Sciences.
9 (RLIN) 31815
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Abdulkadir, Ahmed.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 177553
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bathula, Deepti R.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 177554
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dvornek, Nicha C.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 177555
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Habes, Mohamad.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 177556
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kia, Seyed Mostafa.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 177557
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kumar, Vinod.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 177558
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wolfers, Thomas.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 177559
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 177560
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031178986
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031179006
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
International Standard Serial Number 1611-3349 ;
Volume/sequential designation 13596
9 (RLIN) 23263
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-17899-3">https://doi.org/10.1007/978-3-031-17899-3</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-Lecture Notes in CS

No items available.