Undersampled MRI Reconstruction with Side Information-Guided Normalisation

7 March 2022

Papers citing "Undersampled MRI Reconstruction with Side Information-Guided Normalisation"

20 / 20 papers shown

Title
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation Arjun D Desai Andrew M Schmidt E. Rubin Christopher M. Sandino Marianne S. Black ... R. Boutin Christopher Ré G. Gold B. Hargreaves Akshay S. Chaudhari 66 65 0 14 Mar 2022
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction Bo Zhou Neel Dey Jo Schlemper S. Salehi Chi Liu James S. Duncan M. Sofka MedIm 55 57 0 26 Jan 2022
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer Pengfei Guo Yiqun Mei Jinyuan Zhou Shanshan Jiang Vishal M. Patel ViT MedIm 108 66 0 23 Jan 2022
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
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution Chun-Mei Feng Yu-bao Yan Huazhu Fu Li Chen Yong Xu ViT MedIm 46 123 0 12 Jun 2021
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers Yilmaz Korkmaz S. Dar Mahmut Yurt Muzaffer Özbey Tolga Çukur ViT MedIm 88 192 0 15 May 2021
Universal Undersampled MRI Reconstruction Xinwen Liu Jing Wang Feng Liu S.Kevin Zhou OOD 66 24 0 09 Mar 2021
Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning Pengfei Guo Puyang Wang Jinyuan Zhou Shanshan Jiang Vishal M. Patel FedML OOD 70 145 0 03 Mar 2021
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 152 638 0 02 Aug 2020
End-to-End Variational Networks for Accelerated MRI Reconstruction Anuroop Sriram Jure Zbontar Tullie Murrell Aaron Defazio C. L. Zitnick N. Yakubova Florian Knoll Patricia M. Johnson DRL 49 315 0 14 Apr 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
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge Florian Knoll Tullie Murrell Anuroop Sriram N. Yakubova Jure Zbontar ... Aaron Defazio Matthew Muckley D. Sodickson C. L. Zitnick M. Recht 120 213 0 06 Jan 2020
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction Anuroop Sriram Jure Zbontar Tullie Murrell C. L. Zitnick Aaron Defazio D. Sodickson 117 106 0 27 Oct 2019
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 117 1,018 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 60 500 0 05 Dec 2017
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction Jo Schlemper Jose Caballero Joseph V. Hajnal Anthony N. Price Daniel Rueckert 74 1,130 0 08 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 52 1,540 0 03 Apr 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization Xun Huang Serge J. Belongie OOD 177 4,359 0 20 Mar 2017