26 citations · 27 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation
Guoan Wang, Jin Ye, Junlong Cheng +5
Volumetric medical image segmentation is pivotal in enhancing disease diagnosis, treatment planning, and advancing medical research. While existing volumetric foundation models for…
cs.CV2023★ 26 cited
SAM-Med2D
Junlong Cheng, Jin Ye, Zhongying Deng +12
The Segment Anything Model (SAM) represents a state-of-the-art research advancement in natural image segmentation, achieving impressive results with input prompts such as points an…
eess.IV2023
SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks
Junlong Cheng, Chengrui Gao, Fengjie Wang +1
Recently, U-shaped networks have dominated the field of medical image segmentation due to their simple and easily tuned structure. However, existing U-shaped segmentation networks:…