1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CV2024
Test-time generative augmentation for medical image segmentation
Xiao Ma, Yuhui Tao, Zetian Zhang +7
Medical image segmentation is critical for clinical diagnosis, treatment planning, and monitoring, yet segmentation models often struggle with uncertainties stemming from occlusion…
eess.IV2024
Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models
Kun Huang, Xiao Ma, Yuhan Zhang +5
Optical coherence tomography (OCT) image analysis plays an important role in the field of ophthalmology. Current successful analysis models rely on available large datasets, which…
eess.IV2022★ 1 cited
Label Adversarial Learning for Skeleton-level to Pixel-level Adjustable Vessel Segmentation
Mingchao Li, Kun Huang, Zetian Zhang +2
You can have your cake and eat it too. Microvessel segmentation in optical coherence tomography angiography (OCTA) images remains challenging. Skeleton-level segmentation shows cle…