Deep learning-based cardiovascular modelling:
Gespeichert in:
1. Verfasser: | |
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Format: | Abschlussarbeit Buch |
Sprache: | German |
Veröffentlicht: |
Berlin
2023
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Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | Enthält 3 Sonderabdrucke aus verschiedenen Zeitschriften |
Beschreibung: | V, 81 Seiten Illustrationen, Diagramme |
DOI: | 10.14279/depositonce-18280 |
Internformat
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Datensatz im Suchindex
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spelling | Yevtushenko, Pavlo Verfasser (DE-588)1322503303 aut Deep learning-based cardiovascular modelling vorgelegt von M. Sc. Pavlo Yevtushenko Berlin 2023 V, 81 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Enthält 3 Sonderabdrucke aus verschiedenen Zeitschriften Dissertation Technische Universität Berlin 2023 (DE-588)4113937-9 Hochschulschrift gnd-content Erscheint auch als Online-Ausgabe 10.14279/depositonce-18280 (DE-604)BV049302045 https://doi.org/10.14279/depositonce-18280 Resolving-System kostenfrei Volltext |
spellingShingle | Yevtushenko, Pavlo Deep learning-based cardiovascular modelling |
subject_GND | (DE-588)4113937-9 |
title | Deep learning-based cardiovascular modelling |
title_auth | Deep learning-based cardiovascular modelling |
title_exact_search | Deep learning-based cardiovascular modelling |
title_exact_search_txtP | Deep learning-based cardiovascular modelling |
title_full | Deep learning-based cardiovascular modelling vorgelegt von M. Sc. Pavlo Yevtushenko |
title_fullStr | Deep learning-based cardiovascular modelling vorgelegt von M. Sc. Pavlo Yevtushenko |
title_full_unstemmed | Deep learning-based cardiovascular modelling vorgelegt von M. Sc. Pavlo Yevtushenko |
title_short | Deep learning-based cardiovascular modelling |
title_sort | deep learning based cardiovascular modelling |
topic_facet | Hochschulschrift |
url | https://doi.org/10.14279/depositonce-18280 |
work_keys_str_mv | AT yevtushenkopavlo deeplearningbasedcardiovascularmodelling |