Deep artifact learning for compressed sensing and parallel MRI

3 March 2017

Papers citing "Deep artifact learning for compressed sensing and parallel MRI"

7 / 7 papers shown

Title
Conditional Injective Flows for Bayesian Imaging AmirEhsan Khorashadizadeh K. Kothari Leonardo Salsi Ali Aghababaei Harandi Maarten V. de Hoop Ivan Dokmanić MedIm 21 16 0 15 Apr 2022
Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering Joseph Y. Cheng Feiyu Chen M. Alley John M. Pauly S. Vasanawala 13 43 0 08 May 2018
Compressed Sensing MRI Reconstruction using a Generative Adversarial Network with a Cyclic Loss Tran Minh Quan Thanh Nguyen-Duc W. Jeong GAN MedIm 27 539 0 03 Sep 2017
Deep De-Aliasing for Fast Compressive Sensing MRI Simiao Yu Hao Dong Guang Yang Greg Slabaugh P. Dragotti ... Fangde Liu Simon Arridge J. Keegan D. Firmin Yike Guo MedIm OOD 21 58 0 19 May 2017
Learning a Variational Network for Reconstruction of Accelerated MRI Data Kerstin Hammernik Teresa Klatzer Erich Kobler M. Recht D. Sodickson T. Pock Florian Knoll 18 1,519 0 03 Apr 2017
Benefits of depth in neural networks Matus Telgarsky 128 602 0 14 Feb 2016
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,947 0 15 Dec 2014