- Beijing, China
Stars
Advanced Samples for the NVIDIA OptiX 7 Ray Tracing SDK
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
T-Mamba: A unified framework with Long-Range Dependency in dual-domain for 2D & 3D Tooth Segmentation
基于C++和OpenGL实现的模仿我的世界的图形学小Demo。实现了包括地形自动生成,方块消除和放置功能。
A pure JavaScript medical research image viewer.
Towards Localized Fine-Grained Control for Facial Expression Generation
Check metadata and visualize neuroimages within VSCode.
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
Champion Solution of MICCAI FLARE22 Challenge based on nnU-Net.
Official Implementation of SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation (CVPRW 2024)
A pytorch implementation of 3D UNet for 3D MRI Segmentation.
MedLSAM: Localize and Segment Anything Model for 3D Medical Images
The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"
Segment Anything in Medical Images
Official implementation for ECCV 2022 paper "3D Instances as 1D Kernels".