Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance (Запис № 579813)

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control field 978-3-032-14417-1
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control field 20260304124212.0
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783032144171
-- 978-3-032-14417-1
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-032-14417-1
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
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Subject category code UYT
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Subject category code COM016000
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Subject category code UYT
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082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006
Edition number 23
245 10 - TITLE STATEMENT
Title Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance
Medium [electronic resource] :
Remainder of title Second MICCAI Challenge, LISA 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings /
Statement of responsibility, etc edited by Natasha Lepore, Marius George Linguraru.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2026.
264 #1 -
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-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2026.
300 ## - PHYSICAL DESCRIPTION
Extent X, 133 p. 34 illus., 28 illus. in color.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
Міжнародний стандартний серійний номер для назви серії (ISSN) 1611-3349 ;
Том/ позначення послідовності 16411
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note -- Task 1 - Automatic Ultra-Low Field MR Image Quality Assessment -- BRIQA: Balanced Reweighting in Image Quality Assessment of Pediatric Brain MRI. -- Robust Multi-Label Classification of MRI Artifacts in Low-Field Neonatal Brain Imaging via View-Conditional Dual Task Learning. -- Task 2b - Automatic Basal Ganglia Segmentation from Ultra-Low Field MRI -- Towards Robust Basal Ganglia Segmentation in Ultra-Low-Field Pediatric MRI via an Optimized MS-TCNet. -- Tasks 2a and 2b - Automatic Hippocampal and Basal Ganglia Segmentation form Ultra-Low Field MRI -- Segmenting Brain Regions in Low Field Pediatric Brain MR Images using (symmetric) nnU-Net ResEnc. -- Segmenting infant brains across magnetic fields: Domain randomization and annotation curation in ultra-low field MRI. -- Enforcing Anatomical Symmetry with Euclidean Distance Transforms for Low-Field MRI Bilateral Structure Segmentation. -- Coordinate Transformations Make Segmentation Models More Data-Efficient. -- Atlas-Augmented Semantic Segmentation for Robust Ultra-Low-Field Pediatric Brain Imaging. -- Automated Pediatric Brain Hippocampal and Basal Ganglia Segmentation in Ultra-Low Field Magnetic Resonance Images. -- Tasks 1, 2a and 2b Combined -- Application of Vision Transformers to Multi-Task Learning in the LISA 2025 MRI Challenge. -- Automatic Quality Assurance and Subcortical Brain Segmentation in Pediatric Ultra-Low-Field MRI: Exploring Ordinal Learning and Foundation Model Adaptation.
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
520 ## - SUMMARY, ETC.
Summary, etc This open access book constitutes the proceedings of the LISA 2025 Challenge, held in conjunction with MICCAI 2025 in Daejeon, South Korea, during September 27, 2025. The LISA Challenge serves as a benchmarking platform for developing evaluating automatic image analysis and machine learning algorithms. The 11 full papers included in the book were carefully reviewed and selected from 14 final submissions.The papers are organized in topical sections as follows: Task 1 - Automatic Ultra-Low Field MR Image Quality Assessment; Task 2b - Automatic Basal Ganglia Segmentation from Ultra-Low Field MRI; Tasks 2a and 2b - Automatic Hippocampal and Basal Ganglia Segmentation form Ultra-Low Field MRI; and Tasks 1, 2a and 2b Combined. .
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-- Accessibility summary: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub.
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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 Computational neuroscience.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Nuclear magnetic resonance.
9 (RLIN) 23615
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 Computational Neuroscience.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Magnetic Resonance (NMR, EPR).
9 (RLIN) 23616
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lepore, Natasha.
Relator term editor.
-- (orcid)0000-0002-8379-674X
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Linguraru, Marius George.
Relator term editor.
-- (orcid)0000-0001-6175-8665
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Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 19068
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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 9783032144164
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783032144188
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
-- 1611-3349 ;
Volume number/sequential designation 16411
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-032-14417-1">https://doi.org/10.1007/978-3-032-14417-1</a>
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