Transformers for medical image segemntation with at least code or peer-reviewed publication.
Updated 2021.12.01
Date | First Author | Affiliation | Title | Dim. | Obj. | Pub. |
---|---|---|---|---|---|---|
202111 | Himashi Peiris | Monash University | A Volumetric Transformer for Accurate 3D Tumor Segmentation [paper] [code] | 3D | Brain tumor, pancreas, and liver | Arxiv |
202111 | Hongyi Wang | ZJU | Mixed Transformer U-Net For Medical Image Segmentation [paper] [code] | 2D | Multiple organs and cardiac structures | Arxiv |
202111 | Dong Yang | NVIDIA | T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging [paper] | 3D | Liver tumor and lung lesion | ICCV 2021 |
202109 | Yunxiang Li | HDU | GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation [paper] [code] | 2D | Tooth root | MLMI 2021 |
202109 | Hong-Yu Zhou | HKU | nnFormer: Interleaved Transformer for Volumetric Segmentation [paper] [code] | 3D | Multiple organs and cardiac structures | Arxiv |
202107 | Madeleine K. Wyburd | University of Oxford | TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations [paper] [code] | 2D | Cardiac structures | MICCAI 2021 |
202107 | Yunhe Gao | Rutgers University | UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation [paper] [code] | 2D | Cardiac structures | MICCAI 2021 |
202106 | Yuanfeng Ji | HKU | Multi-Compound Transformer for Accurate Biomedical Image Segmentation [paper] [code] | 2D | Cell, Polyp, and skin lesion | MICCAI 2021 |
202106 | Shaohua Li | IHPC | Medical Image Segmentation Using Squeeze-and-Expansion Transformers [paper] [code] | 2D & 3D | Optic Disc/Cup, Polyp, and brain tumor | IJCAI 2021 |
202105 | Hu Cao | Technische Universitat Munchen | Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation [paper] [code] | 3D | Multiple organs and cardiac structures | Arxiv |
202103 | Ali Hatamizadeh | NVIDIA | UNETR: Transformers for 3D Medical Image Segmentation [paper] [code] | 3D | Multiple organs, spleen, and brain tumor | Arxiv |
202103 | Wenxuan Wang | USTB | TransBTS: Multimodal Brain Tumor Segmentation Using Transformer [paper] [code] | 3D | Brain tumor | MICCAI 2021 |
202103 | Boxiang Yun | ECNU | SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation [paper] [code] | 3D | Cholangiocarcinoma | Arxiv |
202103 | Yutong Xie | NWPU | CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation [paper] [code] | 3D | Multiple organs | MICCAI 2021 |
202102 | Jeya Maria Jose Valanarasu | JHU | Medical Transformer: Gated Axial-Attention for Medical Image Segmentation [paper] [code] | 2D | Brain, gland, and nucleus | MICCAI 2021 |
202102 | Yundong Zhang | Rayicer | TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation [paper] [code] | 2D | Polyp, skin lesion, hip, and prostate | Arxiv |
202102 | Jieneng Chen | JHU | TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation [paper] [code] | 2D | Multiple organs | Arxiv |
Date | First Author | Affiliation | Title | Publication |
---|---|---|---|---|
202111 | Yang Liu | ICTCAS | A Survey of Visual Transformers [paper] | Arxiv |
202106 | Tianyang Lin | Fudan University | A Survey of Transformers [paper] | Arxiv |
202101 | Salman Khan | MBZUAI | Transformers in Vision: A Survey [paper] | Arxiv |
202012 | Kai Han | Noah's Ark Lab | A Survey on Vision Transformer [paper] | Arxiv |
202009 | Yi Tay | Google Research | Efficient Transformers: A Survey [paper] | Arxiv |
Date | First Author | Affiliation | Title | Publication |
---|---|---|---|---|
202005 | Nicolas Carion | End-to-end Object Detection with Transformers [paper] [code] | ECCV 2020 | |
202103 | Ze Liu | MSRA | Swin Transformer: Hierarchical Vision Transformer using Shifted Windows [paper] [code] | ICCV 2021 |
202010 | Alexey Dosovitskiy | Google Research | An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale [paper] [JAX code] [PyTorch code] | ICLR 2020 |
201712 | Ashish Vaswani | Google Brain & Google Research | Attention Is All You Need [paper] [code] | NeurIPS 2017 |
Date | First Author | Affiliation | Title | Publication |
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