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Kanghyun Ryu

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

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Bioengineering (Basel, Switzerland)|October 29, 2025
AI Advancements in Healthcare: Medical Imaging and Sensing TechnologiesMohammed A Al-Masni, Kanghyun Ryu
Magnetic Resonance in Medicine|April 15, 2022
Improving high frequency image features of deep learning reconstructions via k-space refinement with null-space kernelKanghyun Ryu, Cagan Alkan, Shreyas S Vasanawala
Magnetic Resonance Imaging|April 7, 2019
Synthesizing T1 weighted MPRAGE image from multi echo GRE images via deep neural networkKanghyun Ryu, Na-Young Shin, Dong-Hyun Kim, et al.
Magnetic Resonance in Medicine|July 31, 2018
Multi-echo GRE-based conductivity imaging using Kalman phase estimation methodKanghyun Ryu, Jaewook Shin, Hongpyo Lee, et al.
IEEE Journal of Biomedical and Health Informatics|December 10, 2025
Cross-Modality Image Registration Via Generating Aligned Image Using Reference-Augmented FrameworkDaniel Kim, Abdullah Shazly, Mohammed A Al-Masni, et al.
Journal of Neuroengineering and Rehabilitation|April 5, 2026
Joint torque estimation from daily living motion for passive sarcopenia monitoring in older adultsJaebeom Jo, Kihyun Kim, Min-Gu Kang, et al.
Bioengineering (Basel, Switzerland)|July 29, 2023
Accelerating High b-Value Diffusion-Weighted MRI Using a Convolutional Recurrent Neural Network (CRNN-DWI)Zheng Zhong, Kanghyun Ryu, Jonathan Mao, et al.
Medical Physics|March 18, 2021
Accelerated multicontrast reconstruction for synthetic MRI using joint parallel imaging and variable splitting networksKanghyun Ryu, Jae-Hun Lee, Yoonho Nam, et al.
Magnetic Resonance in Medicine|July 21, 2020
Artificial neural network for multi-echo gradient echo-based myelin water fraction estimationSoozy Jung, Hongpyo Lee, Kanghyun Ryu, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 6, 2025
Meta-learning guidance for robust medical image synthesis: Addressing the real-world misalignment and corruptionsJaehun Lee, Daniel Kim, Taehun Kim, et al.
Pageof 2

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

Sort By:
Pageof 2
Bioengineering (Basel, Switzerland)|October 29, 2025
AI Advancements in Healthcare: Medical Imaging and Sensing TechnologiesMohammed A Al-Masni, Kanghyun Ryu
Magnetic Resonance in Medicine|April 15, 2022
Improving high frequency image features of deep learning reconstructions via k-space refinement with null-space kernelKanghyun Ryu, Cagan Alkan, Shreyas S Vasanawala
Magnetic Resonance Imaging|April 7, 2019
Synthesizing T1 weighted MPRAGE image from multi echo GRE images via deep neural networkKanghyun Ryu, Na-Young Shin, Dong-Hyun Kim, et al.
Magnetic Resonance in Medicine|July 31, 2018
Multi-echo GRE-based conductivity imaging using Kalman phase estimation methodKanghyun Ryu, Jaewook Shin, Hongpyo Lee, et al.
IEEE Journal of Biomedical and Health Informatics|December 10, 2025
Cross-Modality Image Registration Via Generating Aligned Image Using Reference-Augmented FrameworkDaniel Kim, Abdullah Shazly, Mohammed A Al-Masni, et al.
Journal of Neuroengineering and Rehabilitation|April 5, 2026
Joint torque estimation from daily living motion for passive sarcopenia monitoring in older adultsJaebeom Jo, Kihyun Kim, Min-Gu Kang, et al.
Bioengineering (Basel, Switzerland)|July 29, 2023
Accelerating High b-Value Diffusion-Weighted MRI Using a Convolutional Recurrent Neural Network (CRNN-DWI)Zheng Zhong, Kanghyun Ryu, Jonathan Mao, et al.
Medical Physics|March 18, 2021
Accelerated multicontrast reconstruction for synthetic MRI using joint parallel imaging and variable splitting networksKanghyun Ryu, Jae-Hun Lee, Yoonho Nam, et al.
Magnetic Resonance in Medicine|July 21, 2020
Artificial neural network for multi-echo gradient echo-based myelin water fraction estimationSoozy Jung, Hongpyo Lee, Kanghyun Ryu, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 6, 2025
Meta-learning guidance for robust medical image synthesis: Addressing the real-world misalignment and corruptionsJaehun Lee, Daniel Kim, Taehun Kim, et al.
Pageof 2