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1 Ergebnisse
1
Unsupervised Domain Adaptation of MRI Skull-stripping Train..:
, In:
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Omidi, Abbas
;
Mohammadshahi, Aida
;
Gianchandani, Neha
... - p. 7703-7712 , 2024
Link:
https://doi.org/10.1109/WACV57701.2024.00754
RT T1 <cTitle>2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</cTitle>: T1 <Title>Unsupervised Domain Adaptation of MRI Skull-stripping Trained on Adult Data to Newborns</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10484289&Exemplar=1&LAN=DE A1 Omidi, Abbas A1 Mohammadshahi, Aida A1 Gianchandani, Neha A1 King, Regan A1 Leijser, Lara A1 Souza, Roberto YR 2024 SN 2642-9381 K1 Training K1 Image segmentation K1 Pediatrics K1 Adaptation models K1 Magnetic resonance imaging K1 Brain modeling K1 Data models K1 Applications K1 Biomedical / healthcare / medicine K1 Algorithms K1 Adversarial learning K1 adversarial attack and defense methods K1 Image recognition and understanding SP 7703 OP 7712 LK http://dx.doi.org/https://doi.org/10.1109/WACV57701.2024.00754 DO https://doi.org/10.1109/WACV57701.2024.00754 SF ELIB - SuUB Bremen
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