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Defu Qiu

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

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Computer Methods and Programs in Biomedicine|August 13, 2021
Residual dense network for medical magnetic resonance images super-resolutionDongmei Zhu, Defu Qiu
Computer Methods and Programs in Biomedicine|March 7, 2022
Dual U-Net residual networks for cardiac magnetic resonance images super-resolutionDefu Qiu, Yuhu Cheng, Xuesong Wang
Computer Methods and Programs in Biomedicine|July 12, 2021
Gradual back-projection residual attention network for magnetic resonance image super-resolutionDefu Qiu, Yuhu Cheng, Xuesong Wang
Computer Methods and Programs in Biomedicine|April 9, 2022
End-to-end residual attention mechanism for cataractous retinal image dehazingDefu Qiu, Yuhu Cheng, Xuesong Wang
IEEE Journal of Biomedical and Health Informatics|May 1, 2023
Progressive Feedback Residual Attention Network for Cardiac Magnetic Resonance Imaging Super-ResolutionDefu Qiu, Yuhu Cheng, Xuesong Wang
Computational and Mathematical Methods in Medicine|August 23, 2021
Cardiac Magnetic Resonance Images Superresolution via Multichannel Residual Attention NetworksDefu Qiu, Yuhu Cheng, Xuesong Wang
Computer Methods and Programs in Biomedicine|May 18, 2023
Medical image super-resolution reconstruction algorithms based on deep learning: A surveyDefu Qiu, Yuhu Cheng, Xuesong Wang
Computer Methods and Programs in Biomedicine|August 15, 2022
Improved generative adversarial network for retinal image super-resolutionDefu Qiu, Yuhu Cheng, Xuesong Wang
Computer Methods and Programs in Biomedicine|January 17, 2021
Multi-window back-projection residual networks for reconstructing COVID-19 CT super-resolution imagesDefu Qiu, Yuhu Cheng, Xuesong Wang, et al.
Computer Methods and Programs in Biomedicine|October 5, 2019
Super-resolution reconstruction of knee magnetic resonance imaging based on deep learningDefu Qiu, Shengxiang Zhang, Ying Liu, et al.
Pageof 2

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

Sort By:
Pageof 2
Computer Methods and Programs in Biomedicine|August 13, 2021
Residual dense network for medical magnetic resonance images super-resolutionDongmei Zhu, Defu Qiu
Computer Methods and Programs in Biomedicine|March 7, 2022
Dual U-Net residual networks for cardiac magnetic resonance images super-resolutionDefu Qiu, Yuhu Cheng, Xuesong Wang
Computer Methods and Programs in Biomedicine|July 12, 2021
Gradual back-projection residual attention network for magnetic resonance image super-resolutionDefu Qiu, Yuhu Cheng, Xuesong Wang
Computer Methods and Programs in Biomedicine|April 9, 2022
End-to-end residual attention mechanism for cataractous retinal image dehazingDefu Qiu, Yuhu Cheng, Xuesong Wang
IEEE Journal of Biomedical and Health Informatics|May 1, 2023
Progressive Feedback Residual Attention Network for Cardiac Magnetic Resonance Imaging Super-ResolutionDefu Qiu, Yuhu Cheng, Xuesong Wang
Computational and Mathematical Methods in Medicine|August 23, 2021
Cardiac Magnetic Resonance Images Superresolution via Multichannel Residual Attention NetworksDefu Qiu, Yuhu Cheng, Xuesong Wang
Computer Methods and Programs in Biomedicine|May 18, 2023
Medical image super-resolution reconstruction algorithms based on deep learning: A surveyDefu Qiu, Yuhu Cheng, Xuesong Wang
Computer Methods and Programs in Biomedicine|August 15, 2022
Improved generative adversarial network for retinal image super-resolutionDefu Qiu, Yuhu Cheng, Xuesong Wang
Computer Methods and Programs in Biomedicine|January 17, 2021
Multi-window back-projection residual networks for reconstructing COVID-19 CT super-resolution imagesDefu Qiu, Yuhu Cheng, Xuesong Wang, et al.
Computer Methods and Programs in Biomedicine|October 5, 2019
Super-resolution reconstruction of knee magnetic resonance imaging based on deep learningDefu Qiu, Shengxiang Zhang, Ying Liu, et al.
Pageof 2