[IEEE TMI-2024] SASAN: Spectrum-Axial Spatial Approach Networks for Medical Image Segmentation

[MICCAI 2022] Edge-oriented Point cloud Transformer for 3D Intracranial Aneurysm Segmentation

[ICML2025] Official Code for IAL (Multi-modal 3D Panoptic Segmentation Model)

A repository for various 3D point cloud networks including PointNet, DGCNN and PointCNN...

A new 3D MRI segmentation method based on Generative Adversarial Network and Atrous Convolution

An easy-to-follow PyTorch implementation of PointNet (Qi et al., 2017). This project was built for learning purposes, with the goal of keeping the implementation clear, well-documented, and reproducible, so others who are also learning can benefit, experiment, and build upon it.

MPS-accelerated Brain Tumour Segmentation task based on BraTS '21 task dataset. Uses a hybrid Swin-UNETR + CNN architecture. Optimized for Apple Silicon (M-chip) systems using MPS.

Implementation of transformer-based 3d segmentation model

A modular, extensible, and production-ready framework for 3D CT scan segmentation using PyTorch Lightning, TorchIO, and modern deep learning best practices which supports preprocessing, training, prediction, and evaluation for medical image segmentation tasks.