Visualizing cell motility patterns from time lapse videos with interactive 2d maps generated with deep autoencoders

dc.contributor.author	González Muñiz, Ana
dc.contributor.author	Enguita González, José María
dc.contributor.author	Díaz Blanco, Ignacio
dc.contributor.author	García Pérez, Diego
dc.contributor.author	Cuadrado Vega, Abel Alberto
dc.contributor.author	Valdés, Nuria
dc.contributor.author	Chiara, María D.
dc.date.accessioned	2024-01-16T07:22:08Z
dc.date.available	2024-01-16T07:22:08Z
dc.date.issued	2023
dc.identifier.isbn	978-303134170-0
dc.identifier.issn	1868-4238
dc.identifier.uri	https://hdl.handle.net/10651/70822
dc.description.sponsorship	This work was supported by the Ministerio de Ciencia e Innovación / Agencia Estatal de Investigación (MCIN/AEI/ 10.13039/501100011033) grant [PID2020-115401GB-I00]. The authors would also like to thank the financial support provided by the Principado de Asturias government through the predoctoral grant “Severo Ochoa”.
dc.format.extent	p. 458-468
dc.language.iso	eng
dc.relation.ispartof	Ifip Advances in Information and Communication Technology
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163945318&doi=10.1007%2f978-3-031-34171-7_37&partnerID=40&md5=b333172279014468c9b5c7bb902c9ea8
dc.title	Visualizing cell motility patterns from time lapse videos with interactive 2d maps generated with deep autoencoders
dc.type	conference output
dc.identifier.doi	10.1007/978-3-031-34171-7_37
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-031-34171-7_37

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