Avoiding a replication crisis in deep-learning-based bioimage analysis

Romain F. Laine; Ignacio Arganda-Carreras; Ricardo Henriques; Guillaume Jacquemet

doi:10.1038/s41592-021-01284-3

Avoiding a replication crisis in deep-learning-based bioimage analysis

Romain F. Laine, Ignacio Arganda-Carreras, Ricardo Henriques, Guillaume Jacquemet

Research output: Contribution to journal › Article › Scientific

57 Citations (Scopus)

Original language	English
Pages (from-to)	1136-1144
Journal	Nature Methods
Volume	18
DOIs	https://doi.org/10.1038/s41592-021-01284-3
Publication status	Published - Oct 2021
MoE publication type	B1 Article in a scientific magazine

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10.1038/s41592-021-01284-3

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title = "Avoiding a replication crisis in deep-learning-based bioimage analysis",

author = "Laine, {Romain F.} and Ignacio Arganda-Carreras and Ricardo Henriques and Guillaume Jacquemet",

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AU - Laine, Romain F.

AU - Arganda-Carreras, Ignacio

AU - Henriques, Ricardo

AU - Jacquemet, Guillaume

PY - 2021/10

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JO - Nature Methods

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Avoiding a replication crisis in deep-learning-based bioimage analysis

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CellMech: Center of Excellence in Cellular Mechanostasis

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Avoiding a replication crisis in deep-learning-based bioimage analysis

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CellMech: Center of Excellence in Cellular Mechanostasis

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