4 citations · 8 across the 4 of their papers we have counts for
5 papers
Prompt-driven efficient Open-set Semi-supervised Learning
Haoran Li, Chun-Mei Feng, Tao Zhou +2
Open-set semi-supervised learning (OSSL) has attracted growing interest, which investigates a more practical scenario where out-of-distribution (OOD) samples are only contained in…
DONet: Dual-Octave Network for Fast MR Image Reconstruction
Chun-Mei Feng, Zhanyuan Yang, Huazhu Fu +3
Magnetic resonance (MR) image acquisition is an inherently prolonged process, whose acceleration has long been the subject of research. This is commonly achieved by obtaining multi…
Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network
Chun-Mei Feng, Huazhu Fu, Shuhao Yuan +1
Super-resolution (SR) plays a crucial role in improving the image quality of magnetic resonance imaging (MRI). MRI produces multi-contrast images and can provide a clear display of…
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction
Chun-Mei Feng, Zhanyuan Yang, Geng Chen +2
Magnetic resonance (MR) image acquisition is an inherently prolonged process, whose acceleration by obtaining multiple undersampled images simultaneously through parallel imaging h…
Coupled-Projection Residual Network for MRI Super-Resolution
Chun-Mei Feng, Kai Wang, Shijian Lu +3
Magnetic Resonance Imaging(MRI) has been widely used in clinical application and pathology research by helping doctors make more accurate diagnoses. On the other hand, accurate dia…