10 citations · 47 across the 16 of their papers we have counts for
5 papers · 1 filter
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction
Pengcheng Lei, Faming Fang, Guixu Zhang +1
Magnetic resonance imaging (MRI) tasks often involve multiple contrasts. Recently, numerous deep learning-based multi-contrast MRI super-resolution (SR) and reconstruction methods…
Contrastive Learning for Local and Global Learning MRI Reconstruction
Qiaosi Yi, Jinhao Liu, Le Hu +2
Magnetic Resonance Imaging (MRI) is an important medical imaging modality, while it requires a long acquisition time. To reduce the acquisition time, various methods have been prop…
Survey of the Detection and Classification of Pulmonary Lesions via CT and X-Ray
Yixuan Sun, Chengyao Li, Qian Zhang +2
In recent years, the prevalence of several pulmonary diseases, especially the coronavirus disease 2019 (COVID-19) pandemic, has attracted worldwide attention. These diseases can be…
MDCN: Multi-scale Dense Cross Network for Image Super-Resolution
Juncheng Li, Faming Fang, Jiaqian Li +2
Convolutional neural networks have been proven to be of great benefit for single-image super-resolution (SISR). However, previous works do not make full use of multi-scale features…
Boundary Guidance Hierarchical Network for Real-Time Tongue Segmentation
Xinyi Zeng, Qian Zhang, Jia Chen +3
Automated tongue image segmentation in tongue images is a challenging task for two reasons: 1) there are many pathological details on the tongue surface, which affect the extractio…