Segmentation
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A revision of classic ilastik to drop legacy stuff and make it portable
Segment Anything in Medical Images
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
[IEEE TCSVT] Vivim: a Video Vision Mamba for Medical Video Segmentation
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
Segment Anything for Microscopy
Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hierarchical relationships in the data.
[ICLR 2025] Point-SAM: Promptable 3D Segmentation Model for Point Clouds
Public repository for the ECCV 2024 paper "Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation".
Experimental ONNX brainchop segmentation + NiiVue
QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical Images
Code Release for CVPR 2025, "Rethinking End-to-End 2D to 3D Scene Segmentation in Gaussian Splatting"
nnInteractive is a framework for 3D interactive segmentation, supporting intuitive prompts like points, scribbles, bounding boxes, and lasso. Trained on 120+ diverse 3D datasets, it sets a new stan…
HoloPart: Generative 3D Part Amodal Segmentation