For: | Miyagi Y, Habara T, Hirata R, Hayashi N. Predicting a live birth by artificial intelligence incorporating both the blastocyst image and conventional embryo evaluation parameters. Artif Intell Med Imaging 2020; 1(3): 94-107 [DOI: 10.35711/aimi.v1.i3.94] |
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URL: | https://www.wjgnet.com/2644-3260/full/v1/i3/94.htm |
Number | Citing Articles |
1 |
Jerónimo Hernández-González, Olga Valls, Adrián Torres-Martín, Jesús Cerquides. Modeling three sources of uncertainty in assisted reproductive technologies with probabilistic graphical models. Computers in Biology and Medicine 2022; 150: 106160 doi: 10.1016/j.compbiomed.2022.106160
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2 |
Nina Dissler, Daniela Nogueira, Bertrand Keppi, Pierre Sanguinet, Christophe Ozanon, Cendrine Geoffroy-Siraudin, Xavier Pollet-Villard, Alexandra Boussommier-Calleja. Artificial intelligence-powered assisted ranking of sibling embryos to increase first cycle pregnancy rate. Reproductive BioMedicine Online 2024; 49(1): 103887 doi: 10.1016/j.rbmo.2024.103887
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3 |
Hang Liu, Zhuoran Zhang, Yifan Gu, Changsheng Dai, Guanqiao Shan, Haocong Song, Daniel Li, Wenyuan Chen, Ge Lin, Yu Sun. Development and evaluation of a live birth prediction model for evaluating human blastocysts from a retrospective study. eLife 2023; 12 doi: 10.7554/eLife.83662
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4 |
Yasunari Miyagi, Toshiyuki Hata, Saori Bouno, Aya Koyanagi, Takahito Miyake. Recognition of facial expression of fetuses by artificial intelligence (AI). Journal of Perinatal Medicine 2021; 49(5): 596 doi: 10.1515/jpm-2020-0537
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5 |
Shanshan Wang, Lei Chen, Haixiang Sun. Interpretable artificial intelligence-assisted embryo selection improved single-blastocyst transfer outcomes: a prospective cohort study. Reproductive BioMedicine Online 2023; 47(6): 103371 doi: 10.1016/j.rbmo.2023.103371
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6 |
Yulia Michailov, Shevach Friedler, Bozhena Saar-Ryss. Methods to improve frozen-thawed blastocyst transfer outcomes- the IVF laboratory perspective. Journal of IVF-Worldwide 2023; 1(1-3) doi: 10.46989/001c.87541
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7 |
Yasunari Miyagi, Yasuyuki Mio, Keitaro Yumoto, Rei Hirata, Toshihiro Habara, Nobuyoshi Hayashi. Kinetic Energy and the Free Energy Principle in the Birth of Human Life. Reproductive Medicine 2024; 5(2): 65 doi: 10.3390/reprodmed5020008
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8 |
Yasunari Miyagi, Toshihiro Habara, Rei Hirata, Nobuyoshi Hayashi. Predicting implantation by using dual AI system incorporating three‐dimensional blastocyst image and conventional embryo evaluation parameters—A pilot study. Reproductive Medicine and Biology 2024; 23(1) doi: 10.1002/rmb2.12612
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9 |
Mikkel Fly Kragh, Henrik Karstoft. Embryo selection with artificial intelligence: how to evaluate and compare methods?. Journal of Assisted Reproduction and Genetics 2021; 38(7): 1675 doi: 10.1007/s10815-021-02254-6
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10 |
Toshiyuki Hata, Yasunari Miyagi. Recognition of Fetal Facial Expressions Using Artificial Intelligence Deep Learning. Donald School Journal of Ultrasound in Obstetrics and Gynecology 2021; 15(3): 223 doi: 10.5005/jp-journals-10009-1710
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11 |
R. Barkavi, G. Yamuna, C. Jayaram. Proceedings of International Conference on Communication and Computational Technologies. Algorithms for Intelligent Systems 2023; : 947 doi: 10.1007/978-981-99-3485-0_76
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12 |
Aşina Bayram, Ibrahim Elkhatib, Erkan Kalafat, Andrea Abdala, Virginia Ferracuti, Laura Melado, Barbara Lawrenz, Human Fatemi, Daniela Nogueira. Steady morphokinetic progression is an independent predictor of live birth: a descriptive reference for euploid embryos. Human Reproduction Open 2024; 2024(4) doi: 10.1093/hropen/hoae059
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13 |
Sergei Sergeev, Iuliia Diakova, Lasha Nadirashvili. Neural networks pipeline for quality management in IVF laboratory. Journal of IVF-Worldwide 2024; 2(4) doi: 10.46989/001c.124947
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