Ling Zhang

10

Papers

33

Total Citations

Papers (10)

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data

Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models

Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-training

Hierarchical Adaptive Filtering Network for Text Image Specular Highlight Removal

Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration

3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management

Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization

Document Image Shadow Removal Guided by Color-Aware Background

CANet: A Context-Aware Network for Shadow Removal

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans