collaborators

5 papers

cs.CV2026

CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness

Xinyu Jia, Weidong Guo, Wangyuan Zhao +3

Deep learning models for medical diagnosis frequently exhibit substantial performance disparities across sensitive subgroups (e.g., race, sex), even when average accuracy is high.…

cs.CV2026

GenMed: A Pairwise Generative Reformulation of Medical Diagnostic Tasks

Hantao Zhang, Weidong Guo, Yuhe Liu +5

Data-driven medical AI is traditionally formulated as a discriminative mapping from input to output via a learned function , which does not generalize well across hetero…

cs.CV2026

DepthPilot: From Controllability to Interpretability in Colonoscopy Video Generation

Junhu Fu, Ke Chen, Weidong Guo +9

Controllable medical video generation has achieved remarkable progress, but it still lacks interpretability, which requires the alignment of generated contents with physical priors…

eess.IV2025

CAFusion: Controllable Anatomical Synthesis of Perirectal Lymph Nodes via SDF-guided Diffusion

Weidong Guo, Hantao Zhang, Shouhong Wan +4

Lesion synthesis methods have made significant progress in generating large-scale synthetic datasets. However, existing approaches predominantly focus on texture synthesis and ofte…

cs.CV2025

DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion

Hantao Zhang, Yuhe Liu, Jiancheng Yang +3

Accurate medical image segmentation is crucial for precise anatomical delineation. Deep learning models like U-Net have shown great success but depend heavily on large datasets and…