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"

19 / 19 papers shown

Title
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation Hu Cao Yueyue Wang Jieneng Chen Dongsheng Jiang Xiaopeng Zhang Qi Tian Manning Wang ViT MedIm 82 2,879 0 12 May 2021
HOTR: End-to-End Human-Object Interaction Detection with Transformers Bumsoo Kim Junhyun Lee Jaewoo Kang Eun-Sol Kim Hyunwoo J. Kim ViT 72 255 0 28 Apr 2021
CvT: Introducing Convolutions to Vision Transformers Haiping Wu Bin Xiao Noel Codella Mengchen Liu Xiyang Dai Lu Yuan Lei Zhang ViT 128 1,901 0 29 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 398 21,281 0 25 Mar 2021
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 373 1,556 0 27 Feb 2021
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet Li-xin Yuan Yunpeng Chen Tao Wang Weihao Yu Yujun Shi Zihang Jiang Francis E. H. Tay Jiashi Feng Shuicheng Yan ViT 117 1,931 0 28 Jan 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 341 6,731 0 23 Dec 2020
Pre-Trained Image Processing Transformer Hanting Chen Yunhe Wang Tianyu Guo Chang Xu Yiping Deng Zhenhua Liu Siwei Ma Chunjing Xu Chao Xu Wen Gao VLM ViT 127 1,671 0 01 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 526 40,739 0 22 Oct 2020
Rethinking Attention with Performers K. Choromanski Valerii Likhosherstov David Dohan Xingyou Song Andreea Gane ... Afroz Mohiuddin Lukasz Kaiser David Belanger Lucy J. Colwell Adrian Weller 165 1,570 0 30 Sep 2020
Learning Texture Transformer Network for Image Super-Resolution Fuzhi Yang Huan Yang Jianlong Fu Hongtao Lu B. Guo SupR ViT 72 720 0 07 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 596 41,736 0 28 May 2020
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference Ji Xin Raphael Tang Jaejun Lee Yaoliang Yu Jimmy J. Lin 53 372 0 27 Apr 2020
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation Yizhe Zhang Siqi Sun Michel Galley Yen-Chun Chen Chris Brockett Xiang Gao Jianfeng Gao Jingjing Liu W. Dolan VLM 153 1,519 0 01 Nov 2019
Quadratic Autoencoder (Q-AE) for Low-dose CT Denoising Fenglei Fan Hongming Shan Mannudeep K. Kalra Ramandeep Singh Guhan Qian M. Getzin Yueyang Teng Juergen Hahn Ge Wang 65 110 0 17 Jan 2019
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods? Deepak Mishra Atul Padole AP Prathosh Aravind Jayendran R. Khera Varun Srivastava S. Chaudhury Ge Wang OOD 3DV 65 325 0 08 Nov 2018
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss Qingsong Yang Pingkun Yan Yanbo Zhang Hengyong Yu Yongyi Shi X. Mou Mannudeep K. Kalra Ge Wang GAN MedIm 61 1,197 0 03 Aug 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 624 130,942 0 12 Jun 2017
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN) Hu Chen Yi Zhang Mannudeep K. Kalra Feng Lin Yang Chen Peixi Liao Jiliu Zhou Ge Wang MedIm 106 1,306 0 01 Feb 2017