Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural
Network

Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network

23 June 2020

Papers citing "Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network"

18 / 18 papers shown

Title
UniMo: Universal Motion Correction For Medical Images without Network Retraining Jian Wang Razieh Faghihpirayesh Danny Joca Polina Golland Ali Gholipour 100 0 0 03 Jan 2025
Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation Qing Wu Chenhe Du Xuanyu Tian Jingyi Yu Yuyao Zhang Hongjiang Wei 58 2 0 25 Sep 2024
Multi-Contrast Super-Resolution MRI Through a Progressive Network Qing Lyu Hongming Shan Ge Wang SupR MedIm 39 135 0 05 Aug 2019
MRI Super-Resolution with Ensemble Learning and Complementary Priors Qing Lyu Hongming Shan Ge Wang MedIm SupR 56 97 0 06 Jul 2019
MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video Qunliang Xing Zhenyu Guan Mai Xu Ren Yang Tie Liu Zulin Wang 55 196 0 26 Feb 2019
Deep learning cardiac motion analysis for human survival prediction Ghalib A. Bello T. Dawes Jinming Duan C. Biffi A. de Marvao ... J. Gibbs M. Wilkins S. Cook Daniel Rueckert D. O’Regan MedIm 3DH 38 209 0 08 Oct 2018
Image Super-Resolution Using Very Deep Residual Channel Attention Networks Yulun Zhang Kunpeng Li Kai Li Lichen Wang Bineng Zhong Y. Fu SupR 103 4,308 0 08 Jul 2018
Multi-Frame Quality Enhancement for Compressed Video Ren Yang Mai Xu Zulin Wang Tianyi Li 55 204 0 13 Mar 2018
Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network Yuhua Chen Feng Shi A. Christodoulou Zhengwei Zhou Yibin Xie Debiao Li MedIm 62 305 0 04 Mar 2018
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction C. Qin Jo Schlemper Jose Caballero Anthony N. Price Joseph V. Hajnal Daniel Rueckert MedIm 52 499 0 05 Dec 2017
End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network B. D. de Vos F. Berendsen M. Viergever Marius Staring Ivana Išgum MedIm 62 443 0 20 Apr 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 1,131 0 08 Apr 2017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 240 10,674 0 15 Sep 2016
Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation Rudra P. K. Poudel P. Lamata Giovanni Montana MedIm 52 248 0 13 Aug 2016
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
Generating Images with Perceptual Similarity Metrics based on Deep Networks Alexey Dosovitskiy Thomas Brox DRL GAN 89 1,141 0 08 Feb 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 528 7,977 0 13 Jun 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.4K 100,213 0 04 Sep 2014