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Haruyuki Watanabe

Showing results (1-10 of 19) with videos related to

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Biomedical Physics & Engineering Express|January 8, 2025
Novel approach for quality control testing of medical displays using deep learning technologySho Maruyama, Fumiya Mizutani, Haruyuki Watanabe
Plos One|July 11, 2024
An image quality assessment index based on image features and keypoints for X-ray CT imagesSho Maruyama, Haruyuki Watanabe, Masayuki Shimosegawa
Journal of Digital Imaging|May 11, 2018
Effectiveness of an e-Learning Platform for Image Interpretation Education of Medical Staff and StudentsAkio Ogura, Norio Hayashi, Tohru Negishi, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi|November 24, 2020
[Participation Report of Korean Society of Radiological Science Conference 2020 (KSRSC 2020)]Norio Hayashi, Haruyuki Watanabe, Yusuke Sato, et al.
AJR. American Journal of Roentgenology|September 1, 2016
Importance of Fractional b Value for Calculating Apparent Diffusion Coefficient in DWIAkio Ogura, Isamu Hatano, Kohki Osakabe, et al.
Technology and Health Care : Official Journal of the European Society for Engineering and Medicine|June 4, 2019
Evaluating medical images using deep convolutional neural networks: A simulated CT phantom image studyNorio Hayashi, Tomoko Maruyama, Yusuke Sato, et al.
BMC Medical Imaging|May 1, 2025
Artifact estimation network for MR images: effectiveness of batch normalization and dropout layersTomoko Maruyama, Norio Hayashi, Yusuke Sato, et al.
Scientific Reports|May 1, 2023
Quality control system for mammographic breast positioning using deep learningHaruyuki Watanabe, Saeko Hayashi, Yohan Kondo, et al.
Academic Radiology|November 7, 2020
Development of an Eye-Tracking Image Manipulation System for Angiography: A Comparative StudyMitsuru Sato, Minoru Takahashi, Hiromitsu Hoshino, et al.
Cureus|July 7, 2025
A Fundamental Study on the Removal of Vascular Pulsation Artifacts Using U-Net-Based Deep Neural NetworkTomoko Soma, Norio Hayashi, Yusuke Sato, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Biomedical Physics & Engineering Express|January 8, 2025
Novel approach for quality control testing of medical displays using deep learning technologySho Maruyama, Fumiya Mizutani, Haruyuki Watanabe
Plos One|July 11, 2024
An image quality assessment index based on image features and keypoints for X-ray CT imagesSho Maruyama, Haruyuki Watanabe, Masayuki Shimosegawa
Journal of Digital Imaging|May 11, 2018
Effectiveness of an e-Learning Platform for Image Interpretation Education of Medical Staff and StudentsAkio Ogura, Norio Hayashi, Tohru Negishi, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi|November 24, 2020
[Participation Report of Korean Society of Radiological Science Conference 2020 (KSRSC 2020)]Norio Hayashi, Haruyuki Watanabe, Yusuke Sato, et al.
AJR. American Journal of Roentgenology|September 1, 2016
Importance of Fractional b Value for Calculating Apparent Diffusion Coefficient in DWIAkio Ogura, Isamu Hatano, Kohki Osakabe, et al.
Technology and Health Care : Official Journal of the European Society for Engineering and Medicine|June 4, 2019
Evaluating medical images using deep convolutional neural networks: A simulated CT phantom image studyNorio Hayashi, Tomoko Maruyama, Yusuke Sato, et al.
BMC Medical Imaging|May 1, 2025
Artifact estimation network for MR images: effectiveness of batch normalization and dropout layersTomoko Maruyama, Norio Hayashi, Yusuke Sato, et al.
Scientific Reports|May 1, 2023
Quality control system for mammographic breast positioning using deep learningHaruyuki Watanabe, Saeko Hayashi, Yohan Kondo, et al.
Academic Radiology|November 7, 2020
Development of an Eye-Tracking Image Manipulation System for Angiography: A Comparative StudyMitsuru Sato, Minoru Takahashi, Hiromitsu Hoshino, et al.
Cureus|July 7, 2025
A Fundamental Study on the Removal of Vascular Pulsation Artifacts Using U-Net-Based Deep Neural NetworkTomoko Soma, Norio Hayashi, Yusuke Sato, et al.
Pageof 2