DSFormer: A Dual-domain Self-supervised Transformer for Accelerated
Multi-contrast MRI Reconstruction

DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction

26 January 2022

James S. Duncan

Papers citing "DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction"

15 / 15 papers shown

Title
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework Chenwenbao Hu Cheng Li Haifeng Wang Qiegen Liu Hairong Zheng Shanshan Wang OOD 156 46 0 26 Sep 2021
SwinIR: Image Restoration Using Swin Transformer Christos Sakaridis Jie Cao Guolei Sun Peng Sun Luc Van Gool Radu Timofte ViT 181 2,904 0 23 Aug 2021
Over-and-Under Complete Convolutional RNN for MRI Reconstruction Pengfei Guo Jeya Maria Jose Valanarasu Puyang Wang Jinyuan Zhou Shanshan Jiang Vishal M. Patel MedIm 36 46 0 16 Jun 2021
Zero-Shot Self-Supervised Learning for MRI Reconstruction Burhaneddin Yaman S. A. Hosseini Mehmet Akçakaya 66 70 0 15 Feb 2021
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 131 1,671 0 01 Dec 2020
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data Alan Q. Wang Adrian Dalca M. Sabuncu 61 26 0 29 Jul 2020
Active MR k-space Sampling with Reinforcement Learning Luis Villaseñor-Pineda Sumana Basu Adriana Romero Roberto Calandra M. Drozdzal 51 71 0 20 Jul 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems Kaixuan Wei Angelica Aviles-Rivero Jingwei Liang Ying Fu Carola-Bibiane Schönlieb Hua Huang 59 105 0 22 Feb 2020
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior Bo Zhou S. Kevin Zhou 122 155 0 11 Jan 2020
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Jure Zbontar Florian Knoll Anuroop Sriram Tullie Murrell Zhengnan Huang ... Erich Owens C. L. Zitnick M. Recht D. Sodickson Yvonne W. Lui OOD 65 843 0 21 Nov 2018
MoDL: Model Based Deep Learning Architecture for Inverse Problems H. Aggarwal M. Mani M. Jacob 110 1,017 0 07 Dec 2017
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction C. Qin Jo Schlemper Jose Caballero Anthony N. Price Joseph V. Hajnal Daniel Rueckert MedIm 53 499 0 05 Dec 2017
Image reconstruction by domain transform manifold learning Bo Zhu Jeremiah Zhe Liu Bruce Rosen Matthew S. Rosen 88 1,531 0 28 Apr 2017
Learning a Variational Network for Reconstruction of Accelerated MRI Data Kerstin Hammernik Teresa Klatzer Erich Kobler M. Recht D. Sodickson Thomas Pock Florian Knoll 48 1,540 0 03 Apr 2017
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 218 10,230 0 27 Mar 2016