Official PyTorch Implementation of "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"

CBCT2CT

[CVPR 2025] "DiC: Rethinking Conv3x3 Designs in Diffusion Models", a performant & speedy Conv3x3 diffusion model.

Soft Masked Mamba Diffusion Model for CT to MRI Conversion (Official PyTorch Implementation)

Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

PyTorch implementation of JiT https://arxiv.org/abs/2511.13720

Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality

DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model

[IEEE TMI 2025] 3D MedDiffusion: A 3D Medical Diffusion Model for Controllable and High-quality Medical Image Generation

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Automatic segmentation models for PET and CT scans

LION: Born from MOOSE 2.0 lineage, this king excels in PET tumor segmentation. Harnessing 1014 Autopet datasets, it offers unparalleled precision in lesion detection. Tailor workflows, integrate se…

MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet …

LesionLocator is a framework for zero-shot lesion segmentation and longitudinal tumor tracking in 3D full-body imaging.

MedDINOv3: How to adapt vision foundation models for medical image segmentation?

A collection of loss functions for medical image segmentation

[CVPR 2025] nnWNet: Rethinking the Use of Transformers in Biomedical Image Segmentation and Calling for a Unified Evaluation Benchmark

Using Diffusion Models to Segment/Reconstruct Organs from Medical Images [AAAI Most influential Paper]

The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up until April 2023.

Integrating Multi-modal MRI Images and Medical Foundation Model for Accurate and Automated Prostate Cancer Segmentation

MedSAM2: Segment Anything in 3D Medical Images and Videos

Unpaired Learning of Deep Image Denoising

Official Pytorch implementation of "Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising" (MICCAI 2022)

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

PyTorch implementation of DualGAN

I hope this repo can help you a lot!