Deep learning pipeline reveals key moments in human embryonic development predictive of live birth after in vitro fertilization

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Biology Methods and Protocols
Volume	9
Issue number	1
DOIs	https://doi.org/10.1093/biomethods/bpae052
Publication status	Published - Jul 2024

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@article{82ac728a2144430fb7afa151e0554c08,

title = "Deep learning pipeline reveals key moments in human embryonic development predictive of live birth after in vitro fertilization",

author = "Camilla Mapstone and Helen Hunter and Brison, \{Daniel Roy\} and Julia Handl and Berenika Plusa",

year = "2024",

month = jul,

doi = "10.1093/biomethods/bpae052",

language = "English",

volume = "9",

journal = "Biology Methods and Protocols",

publisher = "Oxford University Press",

number = "1",

}

TY - JOUR

T1 - Deep learning pipeline reveals key moments in human embryonic development predictive of live birth after in vitro fertilization

AU - Mapstone, Camilla

AU - Hunter, Helen

AU - Brison, Daniel Roy

AU - Handl, Julia

AU - Plusa, Berenika

PY - 2024/7

Y1 - 2024/7

U2 - 10.1093/biomethods/bpae052

DO - 10.1093/biomethods/bpae052

M3 - Article

VL - 9

JO - Biology Methods and Protocols

JF - Biology Methods and Protocols

IS - 1

ER -