Holdings: Machine learning for medical image reconstruction

Machine learning for medical image reconstruction: 5th international workshop, MLMIR 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings

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Bibliographic Details
Corporate Author:	MLMIR Singapur; Online (Author)
Other Authors:	Haq, Nandinee (Editor), Johnson, Patricia (Editor), Maier, Andreas (Editor), Qin, Chen (Editor), Würfl, Tobias (Editor), Yoo, Jaejun (Editor)
Format:	Electronic Conference Proceeding eBook
Language:	English
Published:	Cham, Switzerland Springer [2022]
Series:	Lecture notes in computer science 13587
Subjects:	Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computing Milieux Computer and Information Systems Applications Artificial intelligence Image processing—Digital techniques Computer vision Computers Application software Künstliche Intelligenz Bildgebendes Verfahren Bildverarbeitung Maschinelles Sehen Konferenzschrift > 2022 > Singapur; Online
Online Access:	DE-634 DE-Aug4 DE-1050 DE-573 DE-M347 DE-92 DE-898 DE-859 DE-860 DE-861 DE-863 DE-862 DE-523 DE-91 DE-384 DE-473 DE-19 DE-355 DE-703 DE-20 DE-706 DE-824 DE-29 DE-739 Volltext
Physical Description:	1 Online-Ressource (viii, 157 Seiten) 83 Illustrationen, 54 in Farbe
ISBN:	9783031172472
ISSN:	1611-3349
DOI:	10.1007/978-3-031-17247-2

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Record in the Search Index

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genre	(DE-588)1071861417 Konferenzschrift 2022 Singapur; Online gnd-content
genre_facet	Konferenzschrift 2022 Singapur; Online
id	DE-604.BV048495993
illustrated	Illustrated
index_date	2024-07-03T20:43:17Z
indexdate	2025-02-20T06:38:23Z
institution	BVB
institution_GND	(DE-588)1270761374 (DE-588)1270750445
isbn	9783031172472
issn	1611-3349
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-033873348
oclc_num	1347213442
open_access_boolean
owner	DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634
owner_facet	DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634
physical	1 Online-Ressource (viii, 157 Seiten) 83 Illustrationen, 54 in Farbe
psigel	ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2022 ZDB-2-LNC_2022 ZDB-2-LNC ZDB-2-LNC_2022
publishDate	2022
publishDateSearch	2022
publishDateSort	2022
publisher	Springer
record_format	marc
series	Lecture notes in computer science
series2	Lecture notes in computer science
spellingShingle	Machine learning for medical image reconstruction 5th international workshop, MLMIR 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings Lecture notes in computer science Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computing Milieux Computer and Information Systems Applications Artificial intelligence Image processing—Digital techniques Computer vision Computers Application software Künstliche Intelligenz (DE-588)4033447-8 gnd Bildgebendes Verfahren (DE-588)4006617-4 gnd Bildverarbeitung (DE-588)4006684-8 gnd Maschinelles Sehen (DE-588)4129594-8 gnd
subject_GND	(DE-588)4033447-8 (DE-588)4006617-4 (DE-588)4006684-8 (DE-588)4129594-8 (DE-588)1071861417
title	Machine learning for medical image reconstruction 5th international workshop, MLMIR 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings
title_auth	Machine learning for medical image reconstruction 5th international workshop, MLMIR 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings
title_exact_search	Machine learning for medical image reconstruction 5th international workshop, MLMIR 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings
title_exact_search_txtP	Machine learning for medical image reconstruction 5th international workshop, MLMIR 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings
title_full	Machine learning for medical image reconstruction 5th international workshop, MLMIR 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings Nandinee Haq, Patricia Johnson, Andreas Maier, Chen Qin, Tobias Würfl, Jaejun Yoo (eds.)
title_fullStr	Machine learning for medical image reconstruction 5th international workshop, MLMIR 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings Nandinee Haq, Patricia Johnson, Andreas Maier, Chen Qin, Tobias Würfl, Jaejun Yoo (eds.)
title_full_unstemmed	Machine learning for medical image reconstruction 5th international workshop, MLMIR 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings Nandinee Haq, Patricia Johnson, Andreas Maier, Chen Qin, Tobias Würfl, Jaejun Yoo (eds.)
title_short	Machine learning for medical image reconstruction
title_sort	machine learning for medical image reconstruction 5th international workshop mlmir 2022 held in conjunction with miccai 2022 singapore september 22 2022 proceedings
title_sub	5th international workshop, MLMIR 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings
topic	Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computing Milieux Computer and Information Systems Applications Artificial intelligence Image processing—Digital techniques Computer vision Computers Application software Künstliche Intelligenz (DE-588)4033447-8 gnd Bildgebendes Verfahren (DE-588)4006617-4 gnd Bildverarbeitung (DE-588)4006684-8 gnd Maschinelles Sehen (DE-588)4129594-8 gnd
topic_facet	Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computing Milieux Computer and Information Systems Applications Artificial intelligence Image processing—Digital techniques Computer vision Computers Application software Künstliche Intelligenz Bildgebendes Verfahren Bildverarbeitung Maschinelles Sehen Konferenzschrift 2022 Singapur; Online
url	https://doi.org/10.1007/978-3-031-17247-2
volume_link	(DE-604)BV014880109
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