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Michihiro Eto

Showing results (1-10 of 5) with videos related to

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Nihon Hoshasen Gijutsu Gakkai Zasshi|March 20, 2024
[Estimation of Shooting Part Using a Camera with Depth Sensors and Pose Estimation Method and Automatic Setting of Optimal X-ray Imaging Conditions]Michihiro Eto
Nihon Hoshasen Gijutsu Gakkai Zasshi|March 22, 2023
[Estimation of Shooting Part Using a Camera with Depth Sensors and Pose Estimation Method and Automatic Setting of Optimal X-ray Imaging Conditions]Michihiro Eto, Tomofumi Nakawatari, Yuji Hatanaka
Radiological Physics and Technology|June 14, 2024
Development of a body movement detection system to avoid re-exposure during radiographyMichihiro Eto, Tomofumi Nakawatari, Yuji Hatanaka
Nihon Hoshasen Gijutsu Gakkai Zasshi|July 10, 2024
[Development of a Head Radiography Simulator System Using Pose Estimation Techniques]Michihiro Eto, Yasushi Ono, Tomofumi Nakawatari, et al.
Journal of Applied Clinical Medical Physics|November 24, 2025
An exploratory study of explainable deep learning for predicting bone mineral density using clavicle features on chest radiographs: A multi-task approach with regression and segmentationYoshiyuki Iwao, Kenshi Shiotsuki, Fumio Hashimoto, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Nihon Hoshasen Gijutsu Gakkai Zasshi|March 20, 2024
[Estimation of Shooting Part Using a Camera with Depth Sensors and Pose Estimation Method and Automatic Setting of Optimal X-ray Imaging Conditions]Michihiro Eto
Nihon Hoshasen Gijutsu Gakkai Zasshi|March 22, 2023
[Estimation of Shooting Part Using a Camera with Depth Sensors and Pose Estimation Method and Automatic Setting of Optimal X-ray Imaging Conditions]Michihiro Eto, Tomofumi Nakawatari, Yuji Hatanaka
Radiological Physics and Technology|June 14, 2024
Development of a body movement detection system to avoid re-exposure during radiographyMichihiro Eto, Tomofumi Nakawatari, Yuji Hatanaka
Nihon Hoshasen Gijutsu Gakkai Zasshi|July 10, 2024
[Development of a Head Radiography Simulator System Using Pose Estimation Techniques]Michihiro Eto, Yasushi Ono, Tomofumi Nakawatari, et al.
Journal of Applied Clinical Medical Physics|November 24, 2025
An exploratory study of explainable deep learning for predicting bone mineral density using clavicle features on chest radiographs: A multi-task approach with regression and segmentationYoshiyuki Iwao, Kenshi Shiotsuki, Fumio Hashimoto, et al.
Pageof 1