U-Net Transformer: Self and Cross Attention for Medical Image Segmentation

10 March 2021

Papers citing "U-Net Transformer: Self and Cross Attention for Medical Image Segmentation"

21 / 71 papers shown

Title
Transformer Meets Boundary Value Inverse Problems Ruchi Guo Shuhao Cao Long Chen MedIm 33 20 0 29 Sep 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Tianlin Li Bo Jiang Bin Luo 32 42 0 26 Aug 2022
High-Resolution Swin Transformer for Automatic Medical Image Segmentation Chen Wei Shenghan Ren Kaitai Guo Haihong Hu Jimin Liang ViT OOD MedIm 17 36 0 23 Jul 2022
Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation Yanglan Ou Ye Yuan Xiaolei Huang Stephen T. C. Wong John Volpi James Z. Wang K. Wong ViT MoE MedIm 18 10 0 03 Jun 2022
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives Jun Li Junyu Chen Yucheng Tang Ce Wang Bennett A. Landman S. K. Zhou ViT OOD MedIm 21 20 0 02 Jun 2022
The Fully Convolutional Transformer for Medical Image Segmentation Athanasios Tragakis Chaitanya Kaul Roderick Murray-Smith D. Husmeier ViT MedIm 20 56 0 01 Jun 2022
Do we really need temporal convolutions in action segmentation? Dazhao Du Bing-Huang Su Yu Li Zhongang Qi Lingyu Si Ying Shan ViT 21 16 0 26 May 2022
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging Yuanhao Cai Jing Lin Haoqian Wang Xin Yuan Henghui Ding Yulun Zhang Radu Timofte Luc Van Gool 80 116 0 20 May 2022
A survey on attention mechanisms for medical applications: are we moving towards better algorithms? Tiago Gonçalves Isabel Rio-Torto Luís F. Teixeira J. S. Cardoso OOD MedIm 24 36 0 26 Apr 2022
3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of Transformer-MLP Paradigm for Dense Prediction in Medical Volume Jianye Pang Cheng Jiang Yihao Chen Jianbo Chang M. Feng Renzhi Wang Jianhua Yao ViT MedIm 28 11 0 14 Apr 2022
Vision Transformers in Medical Computer Vision -- A Contemplative Retrospection Arshi Parvaiz Muhammad Anwaar Khalid Rukhsana Zafar Huma Ameer M. Ali M. Fraz MedIm 15 59 0 29 Mar 2022
CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI A. Hung Haoxin Zheng Qi Miao S. Raman D. Terzopoulos Kyunghyun Sung ViT MedIm 19 44 0 29 Mar 2022
DXM-TransFuse U-net: Dual Cross-Modal Transformer Fusion U-net for Automated Nerve Identification Baijun Xie Gary Milam B. Ning J. Cha C. Park MedIm 27 7 0 27 Feb 2022
Speech Denoising in the Waveform Domain with Self-Attention Zhifeng Kong Wei Ping Ambrish Dantrey Bryan Catanzaro 13 61 0 15 Feb 2022
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat F. Khan Huazhu Fu ViT LM&MA MedIm 111 663 0 24 Jan 2022
MAXIM: Multi-Axis MLP for Image Processing Zhengzhong Tu Hossein Talebi Han Zhang Feng Yang P. Milanfar A. Bovik Yinxiao Li 28 463 0 09 Jan 2022
U-shaped Transformer with Frequency-Band Aware Attention for Speech Enhancement Yi Li Yang Sun S. M. Naqvi 15 25 0 11 Dec 2021
PL-Net: Progressive Learning Network for Medical Image Segmentation Junlong Cheng Chengrui Gao Chaoqing Wang Zhang Ming Yong-Liang Yang Min Zhu SSeg 24 1 0 27 Oct 2021
Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting Kiran Madhusudhanan Johannes Burchert Nghia Duong-Trung Stefan Born Lars Schmidt-Thieme AI4TS AI4CE 41 21 0 13 Oct 2021
More than Encoder: Introducing Transformer Decoder to Upsample Yijiang Li Wentian Cai Ying Gao Chengming Li Xiping Hu ViT MedIm 27 51 0 20 Jun 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 227 2,430 0 04 Jan 2021