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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A collection of papers about Transformer in the field of medical image analysis.
| Date | Stars |
|---|---|
| 2026-07-24 | 472 |
| 2026-07-25 | 472 |
| 2026-07-28 | 472 |
| 2026-07-30 | 472 |
| 2026-08-06 | 472 |
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# Transformer For Medical Image Analysis Transformer related papers in medical imaging. Please check out our survey paper:\ <a href="https://www.sciencedirect.com/science/article/pii/S1361841523000233">Li, J., Chen, J., Tang, Y., Wang, C., Landman, B. A., & Zhou, S. K. (2023). Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives. Medical image analysis, 102762.</a> <p align="center"> <img src="https://github.com/junyuchen245/Transformers_for_medical_image_analysis/blob/main/FarewellConvolutions.gif" width="500"/> </p> *Last updated: 03/17/2022* ## Image Segmentation |Date|First Author|Title|Modality|ND|Code|Paper| |---|---|---|---|---|---|---| |03/10/2022|Lihao Liu |PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation| MRI |3D| N/A | [](https://arxiv.org/abs/2203.05684)| |03/10/2022|Lei Zhou |Self Pre-training with Masked Autoencoders for Medical Image Analysis| CT & MRI |3D| N/A | [](https://arxiv.org/abs/2203.05573)| |01/30/2022|Jiangyun Li |TransBTSV2: Wider Instead of Deeper Transformer for Medical Image Segmentation| CT & MRI |3D| [PyTorch](https://github.com/Wenxuan-1119/TransBTS) | [](https://arxiv.org/abs/2201.12785)| |01/26/2022|Shiqi Huang |RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation| DR |2D| N/A | IEEE TMI [](https://arxiv.org/abs/2201.11037)| |01/04/2022|Ali Hatamizadeh |Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images| MRI |3D| [PyTorch](https://github.com/Project-MONAI/research-contributions/tree/master/SwinUNETR) | [](https://arxiv.org/abs/2201.01266)| |01/03/2022|Yixuan Wu |D-Former: A U-shaped Dilated Transformer for 3D Medical Image Segmentation| MRI & CT |3D| N/A | [](https://arxiv.org/abs/2201.00462)| |12/17/2021|Yutong Xie |Unified 2D and 3D Pre-training for Medical Image Classification and Segmentation| X-ray & CT |2D & 3D| N/A | [](https://arxiv.org/abs/2112.09356)| |12/09/2021|Xiangde Luo |Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer| MRI |2D| [PyTorch](https://github.com/HiLab-git/SSL4MIS)| [](https://arxiv.org/abs/2112.04894)| |11/29/2021|Yucheng Tang |Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis| CT & MRI |3D| [PyTorch](https://monai.io/research/swin-unetr)| [](https://arxiv.org/abs/2111.14791)| |11/26/2021|Xiangyu Meng |Exploiting full Resolution Feature Context for Liver Tumor and Vessel Segmentation via Fusion Encoder: Application to Liver Tumor and Vessel 3D reconstruction| CT |2D| N/A| [](https://arxiv.org/abs/2111.13299)| |11/26/2021|Himashi Peiris |A Volumetric Transformer for Accurate 3D Tumor Segmentation | CT & MRI |3D| [PyTorch](https://github.com/himashi92/VT-UNet)| [](https://arxiv.org/abs/2111.13300)| |11/15/2021|Dong Yang |T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging | CT |3D| N/A| ICCV 2021 [](https://arxiv.org/abs/2111.07535)| |11/08/2021|Hongyi Wang |Mixed Transformer U-Net For Medical Image Segmentation | CT |2D| [PyTorch](https://github.com/Dootmaan/MT-UNet)| [![arXiv
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:1734990f6f06d9ea, topic:pytorch, topic:tensorflow, readme:pre-training
matched fp:1734990f6f06d9ea, topic:transformer