YtongXie / CoTrView external linksLinks
[MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
☆327Sep 17, 2024Updated last year
Alternatives and similar repositories for CoTr
Users that are interested in CoTr are comparing it to the libraries listed below
Sorting:
- This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103…☆441Mar 11, 2024Updated last year
- Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021☆856Feb 23, 2023Updated 2 years ago
- Implementations of recent research prototypes/demonstrations using MONAI.☆1,190Oct 6, 2025Updated 4 months ago
- This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medi…☆3,095Jul 26, 2024Updated last year
- Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images☆186Aug 4, 2020Updated 5 years ago
- [CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets☆187Aug 29, 2023Updated 2 years ago
- [MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.☆480Nov 2, 2024Updated last year
- Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation☆189Feb 26, 2023Updated 2 years ago
- Medical Image Segmentation using Squeeze-and-Expansion Transformers☆227Jun 15, 2022Updated 3 years ago
- A collection of papers about Transformer in the field of medical image analysis.☆470May 16, 2023Updated 2 years ago
- Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.☆2,598Jun 7, 2025Updated 8 months ago
- How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study☆400Apr 30, 2021Updated 4 years ago
- The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"☆32Sep 30, 2022Updated 3 years ago
- Semi-supervised Medical Image Segmentation through Dual-task Consistency☆329Mar 7, 2022Updated 3 years ago
- Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"☆185Jul 12, 2021Updated 4 years ago
- ☆8,011Feb 4, 2026Updated last week
- Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI☆392Jul 6, 2023Updated 2 years ago
- code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.☆531Nov 13, 2020Updated 5 years ago
- Official Code for *Mixed Transformer UNet for Medical Image Segmentation*☆196Mar 17, 2025Updated 10 months ago
- SOTA medical image segmentation methods based on various challenges☆1,659Dec 12, 2023Updated 2 years ago
- A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation☆1,899Jul 25, 2024Updated last year
- Vision Transformer for 3D medical image registration (Pytorch)☆344Nov 6, 2022Updated 3 years ago
- Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.☆178Jan 20, 2021Updated 5 years ago
- Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and app…☆235Dec 9, 2023Updated 2 years ago
- [ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"☆2,323May 9, 2025Updated 9 months ago
- [MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation☆273Sep 11, 2023Updated 2 years ago
- This repo holds the code of TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation☆211Aug 26, 2022Updated 3 years ago
- ☆67Dec 16, 2022Updated 3 years ago
- Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation☆197Jun 14, 2023Updated 2 years ago
- A framework for data augmentation for 2D and 3D image classification and segmentation☆1,173Mar 25, 2025Updated 10 months ago
- Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation☆2,039Nov 13, 2020Updated 5 years ago
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆28Oct 8, 2021Updated 4 years ago
- MICCAI 2019-2023 Open Source Papers☆1,292Nov 1, 2023Updated 2 years ago
- ☆264Feb 14, 2024Updated 2 years ago
- ☆879Aug 5, 2022Updated 3 years ago
- [ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.☆663Oct 24, 2025Updated 3 months ago
- [IEEE-TMI2020] Inter-slice Context Residual Learning for 3D Medical Image Segmentation☆54Apr 7, 2021Updated 4 years ago
- Trained with just raw 3D volumes, a single Sli2Vol model can be used to propagate a single-slice annotation to the whole 3D volume, for a…☆27May 21, 2023Updated 2 years ago
- Learning to segment multi-organ and tumorsfrom multiple partially labeled datasets☆19Apr 8, 2021Updated 4 years ago