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 |
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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2 |
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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3 |
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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4 |
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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5 |
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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6 |
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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7 |
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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8 |
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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9 |
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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10 |
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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