3 citations · 3 across the 2 of their papers we have counts for
3 papers
eess.IV2026
Active Source-free Domain Adaptation in Open-set Medical Image Segmentation via Decomposed Uncertainty and Prototype Discrepancy
Jin Yang, Yichi Zhang, Peijie Qiu +1
Deep learning (DL) methods are challenged to demonstrate robust performance across different segmentation datasets due to domain shifts, but active domain adaptation techniques enh…
cs.CV2024★ 3 cited
Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models
Yuyan Shi, Jialu Ma, Jin Yang +2
Medical image segmentation plays an important role in many image-guided clinical approaches. However, existing segmentation algorithms mostly rely on the availability of fully anno…
cs.CV2023
SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency Regularization
Yichi Zhang, Jin Yang, Yuchen Liu +2
Semi-supervised learning has attracted much attention due to its less dependence on acquiring abundant annotations from experts compared to fully supervised methods, which is espec…