Update README.md

README.md

@@ -13,7 +13,7 @@ Transformer related papers in medical imaging.
 |09/30/2021|Yunxiang Li |GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation | X-ray & Fundus |2D| [PyTorch](https://github.com/Kent0n-Li/GT-U-Net)| MLMI 2021 [![arXiv](https://img.shields.io/badge/arXiv-2109.14813-b31b1b.svg)](https://arxiv.org/abs/2109.14813)|
 |09/15/2021|Xiaohong Huang |MISSFormer: An Effective Medical Image Segmentation Transformer | CT |2D| N/A | [![arXiv](https://img.shields.io/badge/arXiv-2109.07162-b31b1b.svg)](https://arxiv.org/abs/2109.07162)|
 |09/07/2021|Hong-Yu Zhou |nnFormer: Interleaved Transformer for Volumetric Segmentation | CT |3D| [PyTorch](https://github.com/282857341/nnFormer) | [![arXiv](https://img.shields.io/badge/arXiv-2109.03201-b31b1b.svg)](https://arxiv.org/abs/2109.03201v1)|
-|08/20/2021|Christos Matsoukas |Is it Time to Replace CNNs with Transformers for Medical Images? | CT |2D| [PyTorch](https://github.com/ChrisMats/medical_transformers)| [![arXiv](https://arxiv.org/abs/2108.09038)|
+|08/20/2021|Christos Matsoukas |Is it Time to Replace CNNs with Transformers for Medical Images? | CT |2D| [PyTorch](https://github.com/ChrisMats/medical_transformers)| [![arXiv](https://img.shields.io/badge/arXiv-2109.07162-b31b1b.svg)](https://arxiv.org/abs/2108.09038)|
 |07/28/2021|Madeleine K. Wyburd |TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations | MRI |2D| [PyTorch](https://github.com/mwyburd/TEDS-Net) | MICCAI 2021 [![arXiv](https://img.shields.io/badge/arXiv-2107.13542-b31b1b.svg)](https://arxiv.org/abs/2107.13542)|
 |07/19/2021|Guoping Xu |LeViT-UNet: Make Faster Encoders with Transformer for Medical Image Segmentation | CT |2D| N/A | [![arXiv](https://img.shields.io/badge/arXiv-2107.08623-b31b1b.svg)](https://arxiv.org/abs/2107.08623)|
 |07/12/2021|Bingzhi Chen |TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation | X-ray & CT ... |2D| N/A | [![arXiv](https://img.shields.io/badge/arXiv-2107.05274-b31b1b.svg)](https://arxiv.org/abs/2107.05274)|