This repository is a paper list of UNet with Transformers. Feel free to contact us (givkashi@gmail.com) if you find any interesting paper about UNet with Transformers that we missed. We would greatly appreciate it : )
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| Year | Proceeding | Title |
|---|---|---|
| 2021 | Springer 2021 | Convolution-Free Medical Image Segmentation Using Transformers [pdf] |
| 2022 | ECCV 2022 | Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation [pdf] [code] |
| 2022 | IEEE Trans 2022 | DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation [pdf] [code] |
| 2022 | Springer 2022 | TransDeepLab: Convolution-Free Transformer-Based DeepLab v3+ for Medical Image Segmentation [pdf] [code] |
| Year | Proceeding | Title |
|---|---|---|
| 2021 | CVPR 2021 | TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation [pdf] [code] |
| 2021 | MICCAI 2021 | Medical Transformer: Gated Axial-Attention for Medical Image Segmentation [pdf] [code] |
| 2021 | MICCAI 2021 | CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation [pdf] [code] |
| 2021 | CoRR 2021 | LEVIT-UNET: MAKE FASTER ENCODERS WITH TRANSFORMERFOR MEDICAL IMAGE SEGMENTATION [pdf] [code] |
| 2021 | arXiv 2021 | MISSFormer: An Effective Medical Image Segmentation Transformer [pdf] [code] |
| 2021 | arXiv 2021 | Pyramid Medical Transformer for Medical Image Segmentation [pdf] |
| 2021 | Springer 2021 | U-Net Transformer: Self and Cross Attention for Medical Image Segmentation [pdf] |
| 2021 | MICCAI 2021 | UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation [pdf] [code] |
| 2021 | arXive 2021 | Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention [pdf] |
| 2021 | MICCAI 2021 | TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation [pdf] [code] |
| 2021 | Springer 2021 | GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation [pdf] [code] |
| 2021 | ICASSP 2021 | MIXED TRANSFORMER U-NET FOR MEDICAL IMAGE SEGMENTATION [pdf] [code] |
| 2021 | MICCAI 2021 | TransBTS: Multimodal Brain Tumor Segmentation Using Transformer [pdf] [code] |
| 2022 | arXive 2022 | TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images [pdf] [code] |
| 2022 | IEEE Trans 2022 | TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation [pdf] [code] |
| 2022 | MICCAI 2022 | TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers [pdf] |
| 2022 | WACV 2022 | UNETR: Transformers for 3D Medical Image Segmentation [pdf] [code] |
| 2022 | arXive 2022 | A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark [pdf] [code] |
| 2022 | arXive 2022 | C2FTrans: Coarse-to-Fine Transformers for Medical Image Segmentation [pdf] [code] |
| 2022 | WACV 2023 | HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation [pdf] [code] |
| 2022 | Elsevier 2022 | TransUNet+: Redesigning the skip connection to enhance features in medical image segmentation [pdf] |
| 2022 | AAAI 2022 | UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer [pdf] [code] |
| 2022 | WACV 2022 | AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation [pdf] |
| 2022 | arXive 2022 | Focal-Unet: Unet-like Focal Modulation for Medical Image Segmentation [pdf] [code] |
To be updated...