A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis

Müller-Franzes, Gustav; Niehues, Jan; Haarburger, Christoph; Khader, Firas; Nebelung, Sven; Nolte, Teresa; Kather, Jakob Nikolas; Tayebi Arasteh, Soroosh; Han, Tianyu; Wang, Tianci; Truhn, Daniel; Kuhl, Christiane

doi:SCOPUS:2-s2.0-85165662412

A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis

Müller-Franzes, Gustav^RWTH* ; Niehues, Jan^RWTH* ; Khader, Firas^RWTH* ; Tayebi Arasteh, Soroosh^RWTH* ; Haarburger, Christoph ; Kuhl, Christiane^RWTH* ; Wang, Tianci^RWTH* ; Han, Tianyu^RWTH* ; Nolte, Teresa^RWTH* ; Nebelung, Sven^RWTH* ; Kather, Jakob Nikolas^RWTH* ; Truhn, Daniel (Corresponding author)^RWTH*

In
Scientific reports 13, Seiten/Artikel-Nr.:12098

2023

Impressum[London] : Macmillan Publishers Limited, part of Springer Nature

Umfang10 Seiten

ISSN2045-2322

Online
DOI: 10.18154/RWTH-2023-08488
DOI: 10.1038/s41598-023-39278-0
10.1038/s41598-023-39278-0
URL: https://publications.rwth-aachen.de/record/968212/files/968212.pdf

Einrichtungen

Projekte

OA - Open Access Publikation mit Unterstützung der Universitätsbibliothek der RWTH Aachen University (X021000-OA) (X021000-OA)

Thematische Einordnung (Klassifikation)
DDC: 600

OpenAccess:
PDF

Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85165662412
WOS Core Collection: WOS:001038693100007
PubMed: pmid:37495660

Interne Identnummern
RWTH-2023-08488
Datensatz-ID: 968212

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

Related:

Dissertation / PhD Thesis Müller-Franzes, G.RWTH* ; Truhn, D. (Thesis advisor)RWTH* ; Kather, J. N. (Thesis advisor)
Machine learning for the analysis of breast MRI
Aachen 1 Band (verschiedene Seitenzählungen) : Illustrationen (2024)2024 = Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2024, Kumulative Dissertation BibTeX | EndNote: XML, Text | RIS

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