[ICML2025] Official Code for IAL (Multi-modal 3D Panoptic Segmentation Model)
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Updated
Aug 26, 2026 - Python
[ICML2025] Official Code for IAL (Multi-modal 3D Panoptic Segmentation Model)
[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
A repository for various 3D point cloud networks including PointNet, DGCNN and PointCNN...
GrowSP++ in Pytorch (TPAMI 2026)
A new 3D MRI segmentation method based on Generative Adversarial Network and Atrous Convolution
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.
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.
Implementation of transformer-based 3d segmentation model
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