Awesome-Diffusion-Models-in-Medical-Imaging

Why we included this project

Anyone working with diffusion models in medical imaging will find this index saves real time. Instead of chasing papers across scattered arXiv listings, you get them grouped by the task they tackle, from segmentation and reconstruction to super-resolution and registration, so it is easy to zero in on the work closest to your problem. The maintainers also wrote a survey published in the Medical Image Analysis journal, which gives the collection a clear editorial direction rather than just a pile of links. Most entries point to the original paper, and many include code, which helps when you want to move from reading a method to actually reproducing it. For a team scoping a new project, this is a solid place to start mapping the literature and seeing which approaches have already been tried.