Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency

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Serval ID
serval:BIB_AA5977ED3C45
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
UNIL/CHUV
Title
Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency
Title of the conference
Lecture Notes in Computer Science
Author(s)
Ravano Veronica, Démonet Jean-François, Damian Daniel, Meuli Reto, Piredda Gian Franco, Huelnhagen Till, Maréchal Bénédicte, Thiran Jean-Philippe, Kober Tobias, Richiardi Jonas
Publisher
Springer Nature Switzerland
Address
Singapore
ISBN
9783031178986
9783031178993
ISSN
0302-9743
1611-3349
Publication state
Published
Issued date
2022
Peer-reviewed
Oui
Pages
83-92
Language
english
OAI-PMH
oai:serval.unil.ch:BIB_AA5977ED3C45
DOI
10.1007/978-3-031-17899-3_9
Funding(s)
Other / 43087 .1 IP-LS
Create date
10/10/2022 8:55
Last modification date
25/11/2022 6:48
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