Titlebook: Deep Generative Models; 4th MICCAI Workshop, Anirban Mukhopadhyay,Ilkay Oksuz,Yixuan Yuan Conference proceedings 2025 The Editor(s) (if app

衰老

,WDM: 3D Wavelet Diffusion Models for?High-Resolution Medical Image Synthesis,Ns, Diffusion Models, and Latent Diffusion Models. Our proposed method is the only one capable?of consistently generating high-quality images at a resolution of ., outperforming all comparing methods.?The project page is available?at ..

ANIM

,Energy-Based Prior Latent Space Diffusion Model for?Reconstruction of?Lumbar Vertebrae from?Thick Sigh-quality?image generation. Crucially, we mitigate their high computational cost?and low sample efficiency by learning an energy-based latent representation to perform the diffusion processes. Our resulting method outperforms existing approaches across metrics including?Dice and VS scores, and mor

完成才會(huì)征服

,Anatomically-Guided Inpainting for?Local Synthesis of?Normal Chest Radiographs,contextual attention inpainting network (CAttNet), an anatomically-guided inpainting network (AnaCAttNet) is proposed that leverages anatomical information of the original CXR through segmentation to guide the inpainting for a more realistic reconstruction. A quantitative evaluation of the inpaintin