7 papers
MetaSR: Content-Adaptive Metadata Orchestration for Generative Super-Resolution
Jiaqi Guo, Mingzhen Li, Haohong Wang +1
We study generative super-resolution (SR) in real-world scenarios where content and degradations vary across domains, genres, and segments. For example, images and videos may alter…
Vision-Language Enhanced Foundation Model for Semi-Supervised Medical Image Segmentation
Jiaqi Guo, Mingzhen Li, Hanyu Su +8
Semi-supervised learning (SSL) has emerged as an efficient paradigm for medical image segmentation, reducing the reliance on extensive expert annotations. Vision-language models (V…
Advancing Limited-Angle CT Reconstruction Through Diffusion-Based Sinogram Completion
Jiaqi Guo, Santiago Lopez-Tapia, Aggelos K. Katsaggelos
Limited Angle Computed Tomography (LACT) often faces significant challenges due to missing angular information. Unlike previous methods that operate in the image domain, we propose…
RN-SDEs: Limited-Angle CT Reconstruction with Residual Null-Space Diffusion Stochastic Differential Equations
Jiaqi Guo, Santiago Lopez-Tapia, Wing Shun Li +7
Computed tomography is a widely used imaging modality with applications ranging from medical imaging to material analysis. One major challenge arises from the lack of scanning info…
RAU: Reference-based Anatomical Understanding with Vision Language Models
Yiwei Li, Yikang Liu, Jiaqi Guo +7
Anatomical understanding through deep learning is critical for automatic report generation, intra-operative navigation, and organ localization in medical imaging; however, its prog…
Diffusion-Based Limited-Angle CT Reconstruction under Noisy Conditions
Jiaqi Guo, Santiago López-Tapia
Limited-Angle Computed Tomography (LACT) is a challenging inverse problem where missing angular projections lead to incomplete sinograms and severe artifacts in the reconstructed i…