Verfügbarkeit: Deep generative models | Technische Universität München

Deep generative models: third MICCAI workshop, DGM4MICCAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, proceedings

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Bibliographische Detailangaben
Körperschaft:	DGM4MICCAI Vancouver, British Columbia; Online (VerfasserIn)
Weitere beteiligte Personen:	Mukhopadhyay, Anirban (HerausgeberIn), Oksuz, Ilkay (HerausgeberIn), Engelhardt, Sandy (HerausgeberIn), Zhu, Dajiang (HerausgeberIn), Yuan, Yixuan (HerausgeberIn)
Format:	Elektronisch Tagungsbericht E-Book
Sprache:	Englisch
Veröffentlicht:	Cham, Switzerland Springer [2024]
Schriftenreihe:	Lecture notes in computer science 14533
Schlagwörter:	Computer Vision Machine Learning Computers and Education Computer and Information Systems Applications Computer vision Machine learning Education / Data processing Application software Konferenzschrift > 2023 > Vancouver, British Columbia; Online
Links:	https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7 https://doi.org/10.1007/978-3-031-53767-7
Umfang:	1 Online-Ressource (xi, 248 Seiten) 86 Illustrationen, 76 in Farbe
ISBN:	9783031537677
ISSN:	1611-3349
DOI:	10.1007/978-3-031-53767-7

Internformat

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genre	(DE-588)1071861417 Konferenzschrift 2023 Vancouver, British Columbia; Online gnd-content
genre_facet	Konferenzschrift 2023 Vancouver, British Columbia; Online
id	DE-604.BV049594357
illustrated	Illustrated
indexdate	2025-01-11T13:31:28Z
institution	BVB
institution_GND	(DE-588)1323477810 (DE-588)1308512759
isbn	9783031537677
issn	1611-3349
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-034938939
oclc_num	1427327942
open_access_boolean
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owner_facet	DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-83 DE-Aug4 DE-898 DE-BY-UBR DE-861 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-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634
physical	1 Online-Ressource (xi, 248 Seiten) 86 Illustrationen, 76 in Farbe
psigel	ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2024 ZDB-2-LNC_2024 ZDB-2-LNC ZDB-2-LNC_2024
publishDate	2024
publishDateSearch	2024
publishDateSort	2024
publisher	Springer
record_format	marc
series	Lecture notes in computer science
series2	Lecture notes in computer science
spellingShingle	Deep generative models third MICCAI workshop, DGM4MICCAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, proceedings Lecture notes in computer science Computer Vision Machine Learning Computers and Education Computer and Information Systems Applications Computer vision Machine learning Education / Data processing Application software
subject_GND	(DE-588)1071861417
title	Deep generative models third MICCAI workshop, DGM4MICCAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, proceedings
title_auth	Deep generative models third MICCAI workshop, DGM4MICCAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, proceedings
title_exact_search	Deep generative models third MICCAI workshop, DGM4MICCAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, proceedings
title_full	Deep generative models third MICCAI workshop, DGM4MICCAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, proceedings Anirban Mukhopadhyay, Ilkay Oksuz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan, editors
title_fullStr	Deep generative models third MICCAI workshop, DGM4MICCAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, proceedings Anirban Mukhopadhyay, Ilkay Oksuz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan, editors
title_full_unstemmed	Deep generative models third MICCAI workshop, DGM4MICCAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, proceedings Anirban Mukhopadhyay, Ilkay Oksuz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan, editors
title_short	Deep generative models
title_sort	deep generative models third miccai workshop dgm4miccai 2023 held in conjunction with miccai 2023 vancouver bc canada october 8 2023 proceedings
title_sub	third MICCAI workshop, DGM4MICCAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, proceedings
topic	Computer Vision Machine Learning Computers and Education Computer and Information Systems Applications Computer vision Machine learning Education / Data processing Application software
topic_facet	Computer Vision Machine Learning Computers and Education Computer and Information Systems Applications Computer vision Machine learning Education / Data processing Application software Konferenzschrift 2023 Vancouver, British Columbia; Online
url	https://doi.org/10.1007/978-3-031-53767-7
volume_link	(DE-604)BV014880109
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