Official Pytorch implementation of the paper EffiDec3D: An Optimized Decoder for High-Performance and Efficient 3D Medical Image Segmentation published in CVPR 2025. code video
Md Mostafijur Rahman, Radu Marculescu
The University of Texas at Austin
🔍 Check out our CVPR 2024 paper! EMCAD
🔍 Check out our CVPRW 2024 paper! PP-SAM
🔍 Check out our WACV 2024 paper! G-CASCADE
🔍 Check out our MIDL 2023 paper! MERIT
🔍 Check out our WACV 2023 paper! CASCADE
We are very grateful for these excellent works monai, 3D UX-Net, SwinUNETR, and MedNeXt, which have provided the basis for our framework.
@inproceedings{rahman2025effidec3d,
title={EffiDec3D: An Optimized Decoder for High-Performance and Efficient 3D Medical Image Segmentation},
author={Rahman, Md Mostafijur and Marculescu, Radu},
booktitle={Proceedings of the Computer Vision and Pattern Recognition Conference},
pages={10435--10444},
year={2025}
}