A5093328065- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Neonatal and fetal brain pathology
- Image Processing Techniques and Applications
- Fetal and Pediatric Neurological Disorders
Fujian University of Technology
2023-2025
ABSTRACT Super‐resolution can significantly enhance image visibility and restore features without requiring scanning devices to be updated. It is notably useful for magnetic resonance imaging (MRI), which suffers from low‐resolution issue. In practice, MR images possess more intricate texture details than natural images, leading the issue that existing super‐resolution algorithms struggle reach acceptable performance, particularly brain images. To this end, we propose a non‐local residual...
The extraction of the fetal brain from magnetic resonance (MR) images is a challenging task. In particular, MR suffer different kinds artifacts introduced during image acquisition. Among those artifacts, intensity inhomogeneity common one affecting extraction. this work, we propose deep learning-based recovery-extraction framework for extraction, which particularly effective in handling with inhomogeneity. Our involves two stages. First, artifact-corrupted are recovered proposed generative...