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Table representation of search results timeline featuring number of search results per year.
Year | Number of Results |
---|---|
2017 | 1 |
2021 | 1 |
2022 | 2 |
2023 | 2 |
2024 | 0 |
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5 results
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Page 1
Development and validation of deep learning based embryo selection across multiple days of transfer.
Sci Rep. 2023 Mar 14;13(1):4235. doi: 10.1038/s41598-023-31136-3.
Sci Rep. 2023.
PMID: 36918648
Free PMC article.
Does embryo categorization by existing artificial intelligence, morphokinetic or morphological embryo selection models correlate with blastocyst euploidy rates?
Kato K, Ueno S, Berntsen J, Kragh MF, Okimura T, Kuroda T.
Kato K, et al. Among authors: kragh mf.
Reprod Biomed Online. 2023 Feb;46(2):274-281. doi: 10.1016/j.rbmo.2022.09.010. Epub 2022 Oct 1.
Reprod Biomed Online. 2023.
PMID: 36470714
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Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences.
Berntsen J, Rimestad J, Lassen JT, Tran D, Kragh MF.
Berntsen J, et al. Among authors: kragh mf.
PLoS One. 2022 Feb 2;17(2):e0262661. doi: 10.1371/journal.pone.0262661. eCollection 2022.
PLoS One. 2022.
PMID: 35108306
Free PMC article.
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Embryo selection with artificial intelligence: how to evaluate and compare methods?
Kragh MF, Karstoft H.
Kragh MF, et al.
J Assist Reprod Genet. 2021 Jul;38(7):1675-1689. doi: 10.1007/s10815-021-02254-6. Epub 2021 Jun 26.
J Assist Reprod Genet. 2021.
PMID: 34173914
Free PMC article.
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FieldSAFE: Dataset for Obstacle Detection in Agriculture.
Kragh MF, Christiansen P, Laursen MS, Larsen M, Steen KA, Green O, Karstoft H, Jørgensen RN.
Kragh MF, et al.
Sensors (Basel). 2017 Nov 9;17(11):2579. doi: 10.3390/s17112579.
Sensors (Basel). 2017.
PMID: 29120383
Free PMC article.
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