Machine Learning for Medical Image Reconstruction : (Record no. 200467731)

MARC details
000 -LEADER
fixed length control field 03912nam a22005775i 4500
001 - CONTROL NUMBER
control field 200467731
003 - CONTROL NUMBER IDENTIFIER
control field TR-AnTOB
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260327131158.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210929s2021 sz | o |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 3030885526
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-030-88552-6
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (CKB)4100000012037908
System control number (MiAaPQ)EBC6737923
System control number (Au-PeEL)EBL6737923
System control number (OCoLC)1272989641
System control number (PPN)25805204X
System control number (BIP)81776933
System control number (BIP)81480639
System control number (DE-He213)978-3-030-88552-6
System control number (EXLCZ)994100000012037908
040 ## - CATALOGING SOURCE
Original cataloging agency MiAaPQ
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency MiAaPQ
Modifying agency MiAaPQ
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title İngilizce
060 ## - NATIONAL LIBRARY OF MEDICINE CALL NUMBER
Classification number WN 180
Item number M149 2021
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
Subject category code COM004000
Source bisacsh
Subject category code UYQ
Source thema
096 ## - LOCALLY ASSIGNED NLM-TYPE CALL NUMBER (OCLC)
Classification number WN 180
Item number M149 2021EBK
245 10 - TITLE STATEMENT
Title Machine Learning for Medical Image Reconstruction :
Remainder of title 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings /
Statement of responsibility, etc. edited by Nandinee Haq, Patricia Johnson, Andreas Maier, Tobias Würfl, Jaejun Yoo.
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 1 online resource (147 pages)
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
490 1# - SERIES STATEMENT
Series statement Image Processing, Computer Vision, Pattern Recognition, and Graphics,
International Standard Serial Number 3004-9954 ;
Volume/sequential designation 12964
500 ## - GENERAL NOTE
General note Includes index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Deep Learning for Magnetic Resonance Imaging -- HyperRecon: Regularization-Agnostic CS-MRI Reconstruction with Hypernetworks -- Efficient Image Registration Network For Non-Rigid Cardiac Motion Estimation -- Evaluation of the robustness of learned MR image reconstruction to systematic deviations between training and test data for the models from the fastMRI challenge -- Self-Supervised Dynamic MRI Reconstruction -- A Simulation Pipeline to Generate Realistic Breast Images For Learning DCE-MRI Reconstruction -- Deep MRI Reconstruction with Generative Vision Transformers -- Distortion Removal and Deblurring of Single-Shot DWI MRI Scans -- One Network to Solve Them All: A Sequential Multi-Task Joint Learning Network Framework for MR Imaging Pipeline -- Physics-informed self-supervised deep learning reconstruction for accelerated rst-pass perfusion cardiac MRI -- Deep Learning for General Image Reconstruction -- Noise2Stack: Improving Image Restoration by Learning from Volumetric Data -- Real-time Video Denoising in Fluoroscopic Imaging -- A Frequency Domain Constraint for Synthetic and Real X-ray Image Super Resolution -- Semi- and Self-Supervised Multi-View Fusion of 3D Microscopy Images using Generative Adversarial Networks.
520 ## - SUMMARY, ETC.
Summary, etc. This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2021, held in conjunction with MICCAI 2021, in October 2021. The workshop was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic. The 13 papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
Topical term or geographic name entry element Artificial Intelligence.
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books
Source of term local
9 (RLIN) 2032
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Haq, Nandinee,
Relator term editor
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
International Standard Book Number 3-030-88551-8
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 12964
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Springerlink
Uniform Resource Identifier <a href="https://link.springer.com/book/10.1007/978-3-030-88552-6">https://link.springer.com/book/10.1007/978-3-030-88552-6</a>
Public note Online access link to the resource
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type E-Book
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
    Library of Congress Classification Geçerli değil-e-Kitap / Not applicable-e-Book E-Kitap Koleksiyonu Merkez Kütüphane Merkez Kütüphane 22/07/2025   0.00 BİL WN 180 M149 2021 EBK03947 22/07/2025 0.00 22/07/2025 E-Book
Devinim Yazılım Eğitim Danışmanlık tarafından Koha'nın orjinal sürümü uyarlanarak geliştirilip kurulmuştur.