Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder-Reference-Cited by-同舟云学术

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Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder

Published:2024-05 Issue: Volume:151 Page:102828
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Ly Son T.^ORCID,Lin Bai,Vo Hung Q.^ORCID,Maric Dragan^ORCID,Roysam Badrinath^ORCID,Nguyen Hien V.

Funder

National Institute of Neurological Disorders and Stroke

National Institutes of Health

Publisher

Elsevier BV

Reference43 articles.

1. Whole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks;Maric;Nat Commun,2021

2. Improving language understanding by generative pre-training;Radford,2018

3. Language models are unsupervised multitask learners;Radford;Openai Blog,2019

4. Bert: Pre-training of deep bidirectional transformers for language understanding;Devlin,2018

5. Representation learning with contrastive predictive coding;Van den Oord,2018

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