研究领域

• 机器学习、医学图像分析、数字文化遗产。
  

论文成果

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

专利

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著作成果

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科研项目

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