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Sho Yonezawa

Showing results (1-10 of 7) with videos related to

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The Journal of Chemical Physics|September 22, 2022
Retardation of freezing of precooled, impinged water droplets on glass surfaces with microgrooves and silane coatingSho Yonezawa, Kazuya Kasahara, Tomonori Waku, et al.
Reproductive Medicine and Biology|September 3, 2024
Development of an AI-based support system for controlled ovarian stimulationYoshimasa Asada, Tomoya Shinohara, Sho Yonezawa, et al.
The Journal of Investigative Dermatology|September 18, 2024
The Number of Nail Fold Capillaries and Nail Fold Bleedings Reflects the Clinical Manifestations of Systemic SclerosisYuta Norimatsu, Takemichi Fukasawa, Yoshinori Kabeya, et al.
The Journal of Investigative Dermatology|April 9, 2021
Expert-Level Distinction of Systemic Sclerosis from Hand Photographs Using Deep Convolutional Neural NetworksYuta Norimatsu, Ayumi Yoshizaki, Yoshinori Kabeya, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|October 2, 2021
Deep convolutional neural network-based algorithm for muscle biopsy diagnosisYoshinori Kabeya, Mariko Okubo, Sho Yonezawa, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|May 31, 2020
Deep learning shows the capability of high-level computer-aided diagnosis in malignant lymphomaHiroaki Miyoshi, Kensaku Sato, Yoshinori Kabeya, et al.
Hepatology (Baltimore, Md.)|May 20, 2024
Deep learning and digital pathology powers prediction of HCC development in steatotic liver diseaseTakuma Nakatsuka, Ryosuke Tateishi, Masaya Sato, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
The Journal of Chemical Physics|September 22, 2022
Retardation of freezing of precooled, impinged water droplets on glass surfaces with microgrooves and silane coatingSho Yonezawa, Kazuya Kasahara, Tomonori Waku, et al.
Reproductive Medicine and Biology|September 3, 2024
Development of an AI-based support system for controlled ovarian stimulationYoshimasa Asada, Tomoya Shinohara, Sho Yonezawa, et al.
The Journal of Investigative Dermatology|September 18, 2024
The Number of Nail Fold Capillaries and Nail Fold Bleedings Reflects the Clinical Manifestations of Systemic SclerosisYuta Norimatsu, Takemichi Fukasawa, Yoshinori Kabeya, et al.
The Journal of Investigative Dermatology|April 9, 2021
Expert-Level Distinction of Systemic Sclerosis from Hand Photographs Using Deep Convolutional Neural NetworksYuta Norimatsu, Ayumi Yoshizaki, Yoshinori Kabeya, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|October 2, 2021
Deep convolutional neural network-based algorithm for muscle biopsy diagnosisYoshinori Kabeya, Mariko Okubo, Sho Yonezawa, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|May 31, 2020
Deep learning shows the capability of high-level computer-aided diagnosis in malignant lymphomaHiroaki Miyoshi, Kensaku Sato, Yoshinori Kabeya, et al.
Hepatology (Baltimore, Md.)|May 20, 2024
Deep learning and digital pathology powers prediction of HCC development in steatotic liver diseaseTakuma Nakatsuka, Ryosuke Tateishi, Masaya Sato, et al.
Pageof 1