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Zhao, Y. (author), Zhang, Y. (author), Tao, Q. (author)Deep learning-based methods have achieved prestigious performance for magnetic resonance imaging (MRI) reconstruction, enabling fast imaging for many clinical applications. Previous methods employ convolutional networks to learn the image prior as the regularization term. In quantitative MRI, the physical model of nuclear magnetic resonance...conference paper 2024
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Li, Xinqi (author), Zhang, Y. (author), Zhao, Y. (author), van Gemert, J.C. (author), Tao, Q. (author)Quantitative cardiac magnetic resonance imaging (MRI) is an increasingly important diagnostic tool for cardiovascular diseases. Yet, co-registration of all baseline images within the quantitative MRI sequence is essential for the accuracy and precision of quantitative maps. However, co-registering all baseline images from a quantitative...conference paper 2024
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- Tao, Y. (author), Gao, D.W. (author), Wang, H.Y. (author), Zhang, X. (author), Ghasimi, S.M.D. (author), Ozgun, H. (author), Ersahin, M.E. (author), Zhou, Z.B. (author), Liu, G. (author), Temudo, M.F. (author), Kloek, J. (author), Spanjers, H. (author), De Kreuk, M.K. (author), Van Lier, J.B. (author) conference paper 2014