Medical Imaging | Non-Destructive Testing | Radiology Super-resolution image reconstruction from sparsity regularization and deep residual-learned priors. January 23, 2023
Civil Engineering | Image processing Super-Resolution Reconstruction Method of Pavement Crack Images Based on an Improved Generative Adversarial Network. December 11, 2022
Radiology Application of a Deep Learning Algorithm for Combined Super-Resolution and Partial Fourier Reconstruction Including Time Reduction in T1-Weighted Precontrast and Postcontrast Gradient Echo Imaging of Abdominopelvic MR Imaging. October 30, 2022
Biomedical imaging | Biotechnology | Cell Biology Super-Resolution Reconstruction of Cytoskeleton Image Based on A-Net Deep Learning Network. September 23, 2022
Biometrics | Computer Vision Super-resolution reconstruction of biometric features recognition based on manifold learning and deep residual network. June 6, 2022
Radiology Super-resolution reconstruction for parallel-beam SPECT based on deep learning and transfer learning: a preliminary simulation study. May 9, 2022
Other Super-resolution reconstruction of terahertz images based on a deep-learning network with a residual channel attention mechanism. April 26, 2022
Cardiology | Radiology A Generative Adversarial Network technique for high-quality super-resolution reconstruction of cardiac magnetic resonance images. October 26, 2021
Ophthalmology Speckle reduction of OCT via super resolution reconstruction and its application on retinal layer segmentation. June 28, 2020
Radiology An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI. November 9, 2019