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Yasunari Miyagi

Showing results (1-10 of 35) with videos related to

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Acta Medica Okayama|December 28, 2020
Potential of Artificial Intelligence for Estimating Japanese Fetal WeightsYasunari Miyagi, Takahito Miyake
Journal of Perinatal Medicine|April 25, 2023
Fetal brain activity and the free energy principleYasunari Miyagi, Toshiyuki Hata, Takahito Miyake
Scientific Reports|November 29, 2025
Characteristics of fetal facial expression changes using artificial intelligence: a pilot studyYasunari Miyagi, Toshiyuki Hata, Takahito Miyake
Molecular and Clinical Oncology|November 7, 2019
Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy imagesYasunari Miyagi, Kazuhiro Takehara, Takahito Miyake
Oncology Letters|January 23, 2020
Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images combined with HPV typesYasunari Miyagi, Kazuhiro Takehara, Yoko Nagayasu, et al.
Reproductive Medicine and Biology|April 19, 2019
Feasibility of deep learning for predicting live birth from a blastocyst image in patients classified by ageYasunari Miyagi, Toshihiro Habara, Rei Hirata, et al.
Acta Medica Okayama|July 18, 2003
Variations of multifractal structure in the fetal heartbeatsYuji Miyagi, Yasunari Miyagi, Sanae Terada, et al.
Reproductive Medicine and Biology|October 15, 2019
Feasibility of predicting live birth by combining conventional embryo evaluation with artificial intelligence applied to a blastocyst image in patients classified by ageYasunari Miyagi, Toshihiro Habara, Rei Hirata, et al.
Reproductive Medicine and Biology|April 19, 2019
Feasibility of artificial intelligence for predicting live birth without aneuploidy from a blastocyst imageYasunari Miyagi, Toshihiro Habara, Rei Hirata, et al.
Reproductive Medicine and Biology|October 1, 2024
Predicting implantation by using dual AI system incorporating three-dimensional blastocyst image and conventional embryo evaluation parameters-A pilot studyYasunari Miyagi, Toshihiro Habara, Rei Hirata, et al.
Pageof 4

Showing results (1-10 of 35) with videos related to

Sort By:
Pageof 4
Acta Medica Okayama|December 28, 2020
Potential of Artificial Intelligence for Estimating Japanese Fetal WeightsYasunari Miyagi, Takahito Miyake
Journal of Perinatal Medicine|April 25, 2023
Fetal brain activity and the free energy principleYasunari Miyagi, Toshiyuki Hata, Takahito Miyake
Scientific Reports|November 29, 2025
Characteristics of fetal facial expression changes using artificial intelligence: a pilot studyYasunari Miyagi, Toshiyuki Hata, Takahito Miyake
Molecular and Clinical Oncology|November 7, 2019
Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy imagesYasunari Miyagi, Kazuhiro Takehara, Takahito Miyake
Oncology Letters|January 23, 2020
Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images combined with HPV typesYasunari Miyagi, Kazuhiro Takehara, Yoko Nagayasu, et al.
Reproductive Medicine and Biology|April 19, 2019
Feasibility of deep learning for predicting live birth from a blastocyst image in patients classified by ageYasunari Miyagi, Toshihiro Habara, Rei Hirata, et al.
Acta Medica Okayama|July 18, 2003
Variations of multifractal structure in the fetal heartbeatsYuji Miyagi, Yasunari Miyagi, Sanae Terada, et al.
Reproductive Medicine and Biology|October 15, 2019
Feasibility of predicting live birth by combining conventional embryo evaluation with artificial intelligence applied to a blastocyst image in patients classified by ageYasunari Miyagi, Toshihiro Habara, Rei Hirata, et al.
Reproductive Medicine and Biology|April 19, 2019
Feasibility of artificial intelligence for predicting live birth without aneuploidy from a blastocyst imageYasunari Miyagi, Toshihiro Habara, Rei Hirata, et al.
Reproductive Medicine and Biology|October 1, 2024
Predicting implantation by using dual AI system incorporating three-dimensional blastocyst image and conventional embryo evaluation parameters-A pilot studyYasunari Miyagi, Toshihiro Habara, Rei Hirata, et al.
Pageof 4