by Matthews, Jonathan M., Schuster, Brooke, Kashaf, Sara Saheb, Liu, Ping, Ben-Yishay, Rakefet, Ishay-Ronen, Dana, Izumchenko, Evgeny, Shen, Le, Weber, Christopher R., Bielski, Margaret, Kupfer, Sonia S., Bilgic, Mustafa, Rzhetsky, Andrey and Tay, Savaş
Reference:
OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics (Matthews, Jonathan M., Schuster, Brooke, Kashaf, Sara Saheb, Liu, Ping, Ben-Yishay, Rakefet, Ishay-Ronen, Dana, Izumchenko, Evgeny, Shen, Le, Weber, Christopher R., Bielski, Margaret, Kupfer, Sonia S., Bilgic, Mustafa, Rzhetsky, Andrey and Tay, Savaş), In PLOS Computational Biology, Public Library of Science, volume 18, 2022.
Bibtex Entry:
@article{matthews-plos22,
doi = {10.1371/journal.pcbi.1010584},
author = {Matthews, Jonathan M. AND Schuster, Brooke AND Kashaf, Sara Saheb AND Liu, Ping AND Ben-Yishay, Rakefet AND Ishay-Ronen, Dana AND Izumchenko, Evgeny AND Shen, Le AND Weber, Christopher R. AND Bielski, Margaret AND Kupfer, Sonia S. AND Bilgic, Mustafa AND Rzhetsky, Andrey AND Tay, Savaş},
journal = {PLOS Computational Biology},
publisher = {Public Library of Science},
title = {OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics},
year = {2022},
month = {11},
volume = {18},
url = {https://doi.org/10.1371/journal.pcbi.1010584},
pages = {1-16},
number = {11},
}