3 papers
eess.IV2024
Approximately Invertible Neural Network for Learned Image Compression
Yanbo Gao, Meng Fu, Shuai Li +4
Learned image compression have attracted considerable interests in recent years. It typically comprises an analysis transform, a synthesis transform, quantization and an entropy co…
eess.IV2024
Edge-guided and Cross-scale Feature Fusion Network for Efficient Multi-contrast MRI Super-Resolution
Zhiyuan Yang, Bo Zhang, Zhiqiang Zeng +1
In recent years, MRI super-resolution techniques have achieved great success, especially multi-contrast methods that extract texture information from reference images to guide the…
cs.CV2024
ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma Grading
Zhiyuan Yang, Bo Zhang, Yufei Shi +5
Glaucoma is one of the leading causes of vision impairment. Digital imaging techniques, such as color fundus photography (CFP) and optical coherence tomography (OCT), provide quant…