5 papers
NerT-CA: Efficient Dynamic Reconstruction from Sparse-view X-ray Coronary Angiography
Kirsten W. H. Maas, Danny Ruijters, Nicola Pezzotti +1
Three-dimensional (3D) and dynamic 3D+time (4D) reconstruction of coronary arteries from X-ray coronary angiography (CA) has the potential to improve clinical procedures. However,…
Progressive Monitoring of Generative Model Training Evolution
Vidya Prasad, Anna Vilanova, Nicola Pezzotti
While deep generative models (DGMs) have gained popularity, their susceptibility to biases and other inefficiencies that lead to undesirable outcomes remains an issue. With their g…
NeRF-CA: Dynamic Reconstruction of X-ray Coronary Angiography with Extremely Sparse-views
Kirsten W. H. Maas, Danny Ruijters, Anna Vilanova +1
Dynamic three-dimensional (4D) reconstruction from two-dimensional X-ray coronary angiography (CA) remains a significant clinical problem. Existing CA reconstruction methods often…
EvolvED: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models
Vidya Prasad, Hans van Gorp, Christina Humer +3
Diffusion models, widely used in image generation, rely on iterative refinement to generate images from noise. Understanding this data evolution is important for model development…
Unraveling the Temporal Dynamics of the Unet in Diffusion Models
Vidya Prasad, Chen Zhu-Tian, Anna Vilanova +3
Diffusion models have garnered significant attention since they can effectively learn complex multivariate Gaussian distributions, resulting in diverse, high-quality outcomes. They…