3 citations · 3 across the 4 of their papers we have counts for
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Cellular-Communication-Level Interpretability for Pathology Foundation Models via Graph Distillation on Microenvironment
Yuxiang Xiao, Zhiwei Chen, Dan Dai +5
Pathology foundation models (PFMs) provide strong tile-level representations but remain difficult to interpret at the cellular and microenvironmental scales that underpin clinical…
Harnessing Adversarial Distillation to Customise Debiased, Disease-Specific Pathology Foundation Models for Breast Cancer
Zhiwei Chen, Yang Hu, Yuxiang Xiao +7
Pathology foundation models (PFMs) provide strong tissue representations and have become central to digital pathology. However, deployment in disease-specific settings is limited b…
SANet: Scale-Adaptive Structure-Affinity Transformation for Spine Segmentation from Ultrasound Volume Projection Imaging
Hao Xie, Zixun Huang, Yushen Zuo +6
Spine segmentation, based on ultrasound volume projection imaging (VPI), plays a vital role for intelligent scoliosis diagnosis in clinical applications. However, this task faces s…
Frequency-Aware Guidance for Blind Image Restoration via Diffusion Models
Jun Xiao, Zihang Lyu, Hao Xie +4
Blind image restoration remains a significant challenge in low-level vision tasks. Recently, denoising diffusion models have shown remarkable performance in image synthesis. Guided…