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Hanbyol Jang

Showing results (1-10 of 4) with videos related to

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Computers in Biology and Medicine|July 23, 2025
MinT: Magnetic resonance image unsupervised translation via decoupling anatomical structure and contrastHanbyol Jang, Hyeongyu Kim, Sewon Kim, et al.
Magnetic Resonance in Medicine|June 2, 2020
Deep-learned short tau inversion recovery imaging using multi-contrast MR imagesSewon Kim, Hanbyol Jang, Jinseong Jang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 11, 2020
Deep-learned spike representations and sorting via an ensemble of auto-encodersJunsik Eom, In Yong Park, Sewon Kim, et al.
Medical Image Analysis|August 17, 2021
Fat-saturated image generation from multi-contrast MRIs using generative adversarial networks with Bloch equation-based autoencoder regularizationSewon Kim, Hanbyol Jang, Seokjun Hong, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Computers in Biology and Medicine|July 23, 2025
MinT: Magnetic resonance image unsupervised translation via decoupling anatomical structure and contrastHanbyol Jang, Hyeongyu Kim, Sewon Kim, et al.
Magnetic Resonance in Medicine|June 2, 2020
Deep-learned short tau inversion recovery imaging using multi-contrast MR imagesSewon Kim, Hanbyol Jang, Jinseong Jang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 11, 2020
Deep-learned spike representations and sorting via an ensemble of auto-encodersJunsik Eom, In Yong Park, Sewon Kim, et al.
Medical Image Analysis|August 17, 2021
Fat-saturated image generation from multi-contrast MRIs using generative adversarial networks with Bloch equation-based autoencoder regularizationSewon Kim, Hanbyol Jang, Seokjun Hong, et al.
Pageof 1