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BERNTSEN, JØRGEN
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1

Improved pregnancy prediction performance in an updated dee..:

Ueno, Satoshi ; Berntsen, Jørgen ; Okimura, Tadashi.
Reproductive BioMedicine Online.  48 (2024)  1 - p. 103308 , 2024
Link: https://doi.org/10.1016/..
 
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2

Correlations between a deep learning-based algorithm for em..:

Ahlström, Aisling ; Berntsen, Jørgen ; Johansen, Martin...
Reproductive BioMedicine Online.  47 (2023)  6 - p. 103408 , 2023
Link: https://doi.org/10.1016/..
 
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3

Towards Automation in IVF: Pre-Clinical Validation of a Dee..:

Cimadomo, Danilo ; Chiappetta, Viviana ; Innocenti, Federica...
Journal of Clinical Medicine.  12 (2023)  5 - p. 1806 , 2023
Link: https://doi.org/10.3390/..
 
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4

Does embryo categorization by existing artificial intellige..:

Kato, Keiichi ; Ueno, Satoshi ; Berntsen, Jørgen...
Reproductive BioMedicine Online.  46 (2023)  2 - p. 274-281 , 2023
Link: https://doi.org/10.1016/..
 
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5

Using blastocyst re-expansion rate for deciding when to war..:

Mensing, Lena C. ; Eliasen, Troels U. ; Johansen, Martin Nygård...
Reproductive BioMedicine Online.  47 (2023)  6 - p. 103378 , 2023
Link: https://doi.org/10.1016/..
 
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6

Comparing performance between clinics of an embryo evaluati..:

Johansen, Martin N. ; Parner, Erik T. ; Kragh, Mikkel F....
Journal of Assisted Reproduction and Genetics.  40 (2023)  9 - p. 2129-2137 , 2023
Link: https://doi.org/10.1007/..
 
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7

Development and validation of deep learning based embryo se..:

Theilgaard Lassen, Jacob ; Fly Kragh, Mikkel ; Rimestad, Jens..
Scientific Reports.  13 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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8

Correction to: Correlation between an annotation-free embry..:

Ueno, Satoshi ; Berntsen, Jørgen ; Ito, Motoki..
Journal of Assisted Reproduction and Genetics.  39 (2022)  9 - p. 2101-2101 , 2022
Link: https://doi.org/10.1007/..
 
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9

Robust and generalizable embryo selection based on artifici..:

Berntsen, Jørgen ; Rimestad, Jens ; Lassen, Jacob Theilgaard...
PLOS ONE.  17 (2022)  2 - p. e0262661 , 2022
Link: https://doi.org/10.1371/..
 
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10

Correlation between an annotation-free embryo scoring syste..:

Ueno, Satoshi ; Berntsen, Jørgen ; Ito, Motoki..
Journal of Assisted Reproduction and Genetics.  39 (2022)  9 - p. 2089-2099 , 2022
Link: https://doi.org/10.1007/..
 
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11

ARTIFICIAL INTELLIGENCE CAN BE USED AS A GUIDE TO SELECT WH..:

Fly Kragh, Mikkel Fly ; Rimestad, Jens ; Lassen, Jacob Theilgaard...
Fertility and Sterility.  118 (2022)  4 - p. e115-e116 , 2022
Link: https://doi.org/10.1016/..
 
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12

Predicting Embryo Viability Based on Self-Supervised Alignm..:

Kragh, Mikkel F. ; Rimestad, Jens ; Lassen, Jacob T...
IEEE Transactions on Medical Imaging.  41 (2022)  2 - p. 465-475 , 2022
Link: https://doi.org/10.1109/..
 
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13

Pregnancy prediction performance of an annotation-free embr..:

Ueno, Satoshi ; Berntsen, Jørgen ; Ito, Motoki...
Fertility and Sterility.  116 (2021)  4 - p. 1172-1180 , 2021
Link: https://doi.org/10.1016/..
 
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14

FULL AUTOMATION OF EMBRYO EVALUATION MODELS BENEFITS FROM T..:

Berntsen, Jørgen ; Lassen, Jacob Theilgaard ; Kragh, Mikkel Fly.
Fertility and Sterility.  116 (2021)  3 - p. e86 , 2021
Link: https://doi.org/10.1016/..
 
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15

Aneuploidy rates and morphokinetic parameters of embryos cu..:

Quinn, Molly M ; Marsh, Philip ; Ribeiro, Salustiano...
Human Reproduction.  37 (2021)  2 - p. 226-234 , 2021
Link: https://doi.org/10.1093/..
 
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