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Masked Autoencoders for Microscopy are Scalable Learners of..:

, In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Kraus, Oren ; Kenyon-Dean, Kian ; Saberian, Saber... - p. 11757-11768 , 2024

Link: https://doi.org/10.1109/CVPR52733.2024.01117

RT 
T1 <cTitle>2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10657479&Exemplar=1&LAN=DE
				
A1 Kraus, Oren
A1 Kenyon-Dean, Kian
A1 Saberian, Saber
A1 Fallah, Maryam
A1 McLean, Peter
A1 Leung, Jess
A1 Sharma, Vasudev
A1 Khan, Ayla
A1 Balakrishnan, Jia
A1 Celik, Safiye
A1 Beaini, Dominique
A1 Sypetkowski, Maciej
A1 Cheng, Chi Vicky
A1 Morse, Kristen
A1 Makes, Maureen
A1 Mabey, Ben
A1 Earnshaw, Berton
YR 2024
SN 2575-7075
K1 Training
K1 Fourier transforms
K1 Microscopy
K1 Biological system modeling
K1 Computer architecture
K1 Self-supervised learning
K1 Pattern recognition
K1 microscopy
K1 self-supervised learning
K1 SSL
K1 ViT
K1 vision transformer
K1 cell biology
K1 cell morphology
SP 11757
OP 11768
LK http://dx.doi.org/https://doi.org/10.1109/CVPR52733.2024.01117
DO https://doi.org/10.1109/CVPR52733.2024.01117
SF ELIB - SuUB Bremen

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