TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder
Dilation network for Low-dose CT Denoising

TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder Dilation network for Low-dose CT Denoising

8 June 2021

Dayang Wang

Papers citing "TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder Dilation network for Low-dose CT Denoising"

7 / 7 papers shown

Title
Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model Dayang Wang Srivathsa Pasumarthi Greg Zaharchuk R. Chamberlain MedIm 18 1 0 22 Jul 2023
LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring Zhihao Chen Chuang Niu Qi Gao Ge Wang Hongming Shan MedIm ViT 3DV 33 20 0 21 Feb 2023
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 11 59 0 29 Mar 2022
HUMUS-Net: Hybrid unrolled multi-scale network architecture for accelerated MRI reconstruction Zalan Fabian Berk Tinaz Mahdi Soltanolkotabi 25 50 0 15 Mar 2022
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising Dayang Wang Fenglei Fan Zhan Wu R. Liu Fei-Yue Wang Hengyong Yu ViT MedIm 24 121 0 28 Feb 2022
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 284 1,524 0 27 Feb 2021