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Yongqin Zhang
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Paper Publications
[1]CAN: Context-assisted full attention network for brain tissue segmentation[J].Medical Image Analysis,2023,85(-):1-17
[2]Cross-domain heterogeneous residual network for single image super-resolution[J].Neural Networks,2022,149(-):84-94
[3]Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation[J].Medical Image Analysis,2019,55(-):76-87
[4]Longitudinally guided super-resolution of neonatal brain magnetic resonance images[J].IEEE Transactions on Cybernetics,2019,49(2):662-674
[5]Dual-domain cascaded regression for synthesizing 7T from 3T MRI[C].International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI),2018,410-417
[6]Kernel Wiener filtering model with low-rank approximation for image denoising[J].Information Sciences,2018,462(-):402-416
[7]Learning block-structured incoherent dictionaries for sparse representation[J].Science China Information Sciences,2015,58(-):1-15
[8]Image super-resolution based on structure-modulated sparse representation[J].IEEE Transactions on Image Processing,2015,24(9):2797-2810
[9]BSIK-SVD: A dictionary-learning algorithm for block-sparse representations[C].IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),2014,3528-3532
[10]Joint image denoising using adaptive principal component analysis and self-similarity[J].Information Sciences,2014,259(-):128-141
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