Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences von Berntsen, Jørgen, Rimestad, Jens, Lassen, Jacob Theilgaard, Tran, Dang, Kragh, Mikkel Fly

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Automatic grading of human blastocysts from time-lapse imaging von Kragh, Mikkel F., Rimestad, Jens, Berntsen, Jørgen, Karstoft, Henrik

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Improved pregnancy prediction performance in an updated deep-learning embryo selection model: a retrospective independent validation study von Ueno, Satoshi, Berntsen, Jørgen, Okimura, Tadashi, Kato, Keiichi

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Development and validation of deep learning based embryo selection across multiple days of transfer von Theilgaard Lassen, Jacob, Fly Kragh, Mikkel, Rimestad, Jens, Nygård Johansen, Martin, Berntsen, Jørgen

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Does embryo categorization by existing artificial intelligence, morphokinetic or morphological embryo selection models correlate with blastocyst euploidy rates? von Kato, Keiichi, Ueno, Satoshi, Berntsen, Jørgen, Kragh, Mikkel Fly, Okimura, Tadashi, Kuroda, Tomoko

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Comparing prediction of ongoing pregnancy and live birth outcomes in patients with advanced and younger maternal age patients using KIDScore (TM) day 5: a large-cohort retrospectiv... von Kato, Keiichi, Ueno, Satoshi, Berntsen, Jorgen, Ito, Motoki, Shimazaki, Kiyoe, Uchiyama, Kazuo, Okimura, Tadashi

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Correlation between an annotation-free embryo scoring system based on deep learning and live birth/neonatal outcomes after single vitrified-warmed blastocyst transfer: a single-cen... von Ueno, Satoshi, Berntsen, Jørgen, Ito, Motoki, Okimura, Tadashi, Kato, Keiichi

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Correlations between a deep learning-based algorithm for embryo evaluation with cleavage-stage cell numbers and fragmentation von Ahlström, Aisling, Berntsen, Jørgen, Johansen, Martin, Bergh, Christina, Cimadomo, Danilo, Hardarson, Thorir, Lundin, Kersti

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Aneuploidy rates and morphokinetic parameters of embryos cultured in distinct culture media: a sibling oocyte study von Quinn, Molly M, Marsh, Philip, Ribeiro, Salustiano, Simbulan, Rhodel K, Hickman, Cristina, Berntsen, Jørgen, Rosen, Mitchell P

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Using blastocyst re-expansion rate for deciding when to warm a new blastocyst for single vitrified–warmed blastocyst transfer von Mensing, Lena C., Eliasen, Troels U., Johansen, Martin Nygård, Berntsen, Jørgen, Montag, Markus, Iversen, Lea Hedegaard, Gabrielsen, Anette

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Comparing performance between clinics of an embryo evaluation algorithm based on time-lapse images and machine learning von Johansen, Martin N., Parner, Erik T., Kragh, Mikkel F., Kato, Keiichi, Ueno, Satoshi, Palm, Stefan, Kernbach, Manuel, Balaban, Başak, Keleş, İpek, Gabrielsen, Anette V., Iversen, Lea H., Berntsen, Jørgen

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Towards Automation in IVF: Pre-Clinical Validation of a Deep Learning-Based Embryo Grading System during PGT-A Cycles von Cimadomo, Danilo, Chiappetta, Viviana, Innocenti, Federica, Saturno, Gaia, Taggi, Marilena, Marconetto, Anabella, Casciani, Valentina, Albricci, Laura, Maggiulli, Roberta, Coticchio, Giovanni, Ahlström, Aisling, Berntsen, Jørgen, Larman, Mark, Borini, Andrea, Vaiarelli, Alberto, Ubaldi, Filippo Maria, Rienzi, Laura

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Human oocyte respiration-rate measurement – potential to improve oocyte and embryo selection? von Scott, Lynette, Berntsen, Jørgen, Davies, Darlene, Gundersen, Jens, Hill, Joseph, Ramsing, Niels

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Simulation of effects of soils, climate and management on N2O emission from grasslands von Chatskikh, D, Olesen, J.E, Berntsen, J, Regina, K, Yamulki, S

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Pregnancy prediction performance of an annotation-free embryo scoring system on the basis of deep learning after single vitrified-warmed blastocyst transfer: a single-center large... von Ueno, Satoshi, Berntsen, Jørgen, Ito, Motoki, Uchiyama, Kazuo, Okimura, Tadashi, Yabuuchi, Akiko, Kato, Keiichi

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Long-term fate of nitrogen uptake in catch crops von Berntsen, Jørgen, Olesen, Jørgen E., Petersen, Bjørn M., Hansen, Elly M.

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Deep learning versus manual morphology-based embryo selection in IVF: a randomized, double-blind noninferiority trial von Illingworth, Peter J., Venetis, Christos, Gardner, David K., Nelson, Scott M., Berntsen, Jørgen, Larman, Mark G., Agresta, Franca, Ahitan, Saran, Ahlström, Aisling, Cattrall, Fleur, Cooke, Simon, Demmers, Kristy, Gabrielsen, Anette, Hindkjær, Johnny, Kelley, Rebecca L., Knight, Charlotte, Lee, Lisa, Lahoud, Robert, Mangat, Manveen, Park, Hannah, Price, Anthony, Trew, Geoffrey, Troest, Bettina, Vincent, Anna, Wennerström, Susanne, Zujovic, Lyndsey, Hardarson, Thorir

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FULL AUTOMATION OF EMBRYO EVALUATION MODELS BENEFITS FROM TRAINING ON BOTH TRANSFERRED AND DISCARDED EMBRYOS von Berntsen, Jørgen, Lassen, Jacob Theilgaard, Kragh, Mikkel Fly, Rimestad, Jens

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OPENING THE BLACK BOX: RELATION BETWEEN AI PREDICTED EMBRYO IMPLANTATION AND TRADITIONAL MORPHOKINETIC AND MORPHOLOGICAL ANNOTATIONS von Berntsen, Jørgen, Rimestad, Jens, Lassen, Jacob Theilgaard, Kragh, Mikkel Fly

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Correction to: Correlation between an annotation-free embryo scoring system based on deep learning and live birth/neonatal outcomes after single vitrified-warmed blastocyst transfe... von Ueno, Satoshi, Berntsen, Jørgen, Ito, Motoki, Okimura, Tadashi, Kato, Keiichi

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