A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction

30 October 2018

Papers citing "A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction"

8 / 8 papers shown

Title
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance Jo Schlemper Ilkay Oksuz J. Clough Jinming Duan A. King Julia A. Schnabel Joseph V. Hajnal Daniel Rueckert 55 24 0 24 Sep 2019
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction Maximilian Seitzer Guang Yang Jo Schlemper Ozan Oktay Tobias Würfl ... R. Mohiaddin D. Firmin J. Keegan Daniel Rueckert Andreas Maier MedIm 76 102 0 28 Jun 2018
Compressed Sensing MRI Reconstruction using a Generative Adversarial Network with a Cyclic Loss Tran Minh Quan Thanh Nguyen-Duc W. Jeong GAN MedIm 99 542 0 03 Sep 2017
Learned Primal-dual Reconstruction J. Adler Ozan Oktem MedIm 86 754 0 20 Jul 2017
Image reconstruction by domain transform manifold learning Bo Zhu Jeremiah Zhe Liu Bruce Rosen Matthew S. Rosen 101 1,536 0 28 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 92 1,137 0 08 Apr 2017
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 78 2,125 0 11 Nov 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,520 0 18 May 2015