Learning a Variational Network for Reconstruction of Accelerated MRI Data

3 April 2017

Papers citing "Learning a Variational Network for Reconstruction of Accelerated MRI Data"

50 / 452 papers shown

Title
pISTA-SENSE-ResNet for Parallel MRI Reconstruction Tieyuan Lu Xinlin Zhang Yihui Huang Yonggui Yang Gang Guo L. Bao F. Huang D. Guo X. Qu 62 39 0 24 Sep 2019
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI Yiling Liu Qiegen Liu Minghui Zhang Qingxin Yang Shanshan Wang Dong Liang 67 61 0 24 Sep 2019
Model-Based and Data-Driven Strategies in Medical Image Computing Daniel Rueckert Julia A. Schnabel OOD MedIm AI4CE 62 50 0 23 Sep 2019
APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network Chaoping Zhang Florian Dubost Marleen de Bruijne S. Klein D. H. Poot 36 4 0 19 Sep 2019
PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI Tomer Weiss Ortal Senouf S. Vedula O. Michailovich M. Zibulevsky A. Bronstein MedIm 150 79 0 12 Sep 2019
MRI Reconstruction Using Deep Bayesian Estimation Guanxiong Luo Na Zhao Wenhao Jiang E. Hui Peng Cao MedIm 106 60 0 03 Sep 2019
Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction Siyuan Wang Junjie Lv Yuanyuan Hu Dong Liang Minghui Zhang Qiegen Liu MedIm 60 15 0 03 Sep 2019
Deep Plug-and-Play Prior for Parallel MRI Reconstruction A. Yazdanpanah O. Afacan Simon K. Warfield 78 21 0 30 Aug 2019
Real-time interactive magnetic resonance (MR) temperature imaging in both aqueous and adipose tissues using cascaded deep neural networks for MR-guided focused ultrasound surgery (MRgFUS) Jong-Min Kim You-Jin Jeong Han-Jae Chung Chulhyun Lee C. Oh AI4CE 153 0 0 29 Aug 2019
LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset Shanshan Wang Yanxia Chen Taohui Xiao Ziwen Ke Qiegen Liu Hairong Zheng 47 4 0 24 Aug 2019
Parametric Majorization for Data-Driven Energy Minimization Methods Jonas Geiping Michael Moeller 134 4 0 17 Aug 2019
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis Shuang Qiu Xiaohan Wei Zhuoran Yang 89 25 0 14 Aug 2019
Model Learning: Primal Dual Networks for Fast MR imaging Jing Cheng Haifeng Wang L. Ying Dong Liang MedIm 79 67 0 07 Aug 2019
Model-based Convolutional De-Aliasing Network Learning for Parallel MR Imaging Yanxia Chen Taohui Xiao Cheng Li Qiegen Liu Shanshan Wang OOD MedIm 83 25 0 06 Aug 2019
Multi-Scale Learned Iterative Reconstruction A. Hauptmann J. Adler Simon Arridge Ozan Oktem 108 37 0 01 Aug 2019
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement Ryutaro Tanno Daniel E. Worrall Enrico Kaden Aurobrata Ghosh Francesco Grussu A. Bizzi S. Sotiropoulos A. Criminisi Daniel C. Alexander MedIm DiffM 104 33 0 31 Jul 2019
Momentum-Net: Fast and convergent iterative neural network for inverse problems Il Yong Chun Zhengyu Huang Hongki Lim Jeffrey A. Fessler 116 82 0 26 Jul 2019
Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks Dong Liang Jing Cheng Ziwen Ke L. Ying 76 56 0 26 Jul 2019
Deep-learning-based Optimization of the Under-sampling Pattern in MRI C. D. Bahadir Alan Q. Wang Adrian Dalca M. Sabuncu 51 9 0 26 Jul 2019
Adaptive and Compressive Beamforming Using Deep Learning for Medical Ultrasound Shujaat Khan Jaeyoung Huh J. C. Ye MedIm 57 86 0 24 Jul 2019
Bilevel Optimization, Deep Learning and Fractional Laplacian Regularization with Applications in Tomography Harbir Antil Z. Di R. Khatri 58 51 0 22 Jul 2019
k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations C. Qin Jo Schlemper Jinming Duan Gavin Seegoolam Anthony N. Price Joseph V. Hajnal Daniel Rueckert MedIm 46 32 0 22 Jul 2019
VS-Net: Variable splitting network for accelerated parallel MRI reconstruction Jinming Duan Jo Schlemper C. Qin Cheng Ouyang Wenjia Bai C. Biffi Ghalib A. Bello B. Statton D. O’Regan Daniel Rueckert 128 97 0 19 Jul 2019
An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration Alexander Effland Erich Kobler K. Kunisch Thomas Pock 57 3 0 19 Jul 2019
Learning with Known Operators reduces Maximum Training Error Bounds Andreas Maier Christopher Syben Bernhard Stimpel Tobias Würfl M. Hoffmann Frank Schebesch Weilin Fu L. Mill L. Kling S. Christiansen 82 109 0 03 Jul 2019
Learning the Sampling Pattern for MRI Ferdia Sherry Martin Benning J. D. L. Reyes M. Graves G. Maierhofer Guy B. Williams Carola-Bibiane Schönlieb Matthias Joachim Ehrhardt MedIm 126 71 0 20 Jun 2019
Model-based Deep Medical Imaging: the roadmap of generalizing iterative reconstruction model using deep learning Jing Cheng Haifeng Wang Yanjie Zhu Qiegen Liu Qiyang Zhang ... Zhanli Hu Xin Liu Hairong Zheng L. Ying Dong Liang OOD MedIm 84 5 0 19 Jun 2019
Deep Variational Networks with Exponential Weighting for Learning Computed Tomography V. Vishnevskiy R. Rau O. Goksel 50 22 0 13 Jun 2019
DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution Shanshan Wang Huitao Cheng Leslie Ying Taohui Xiao Ziwen Ke Xin Liu Hairong Zheng Dong Liang 49 2 0 11 Jun 2019
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples Dufan Wu Kuang Gong Kyungsang Kim Quanzheng Li OOD 79 51 0 09 Jun 2019
Improved low-count quantitative PET reconstruction with an iterative neural network Hongki Lim Il Yong Chun Y. Dewaraja Jeffrey A. Fessler 83 7 0 05 Jun 2019
Fully Hyperbolic Convolutional Neural Networks Keegan Lensink Bas Peters E. Haber MedIm 83 19 0 24 May 2019
Joint learning of cartesian undersampling and reconstruction for accelerated MRI Tomer Weiss S. Vedula Ortal Senouf O. Michailovich M. Zibulevsky A. Bronstein 77 25 0 22 May 2019
QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with Increased Receptive Field Yicheng Chen A. Jakary Sivakami Avadiappan Christopher P. Hess J. Lupo MedIm 65 60 0 08 May 2019
Conditional WGANs with Adaptive Gradient Balancing for Sparse MRI Reconstruction Itzik Malkiel Sangtae Ahn V. Taviani A. Menini Lior Wolf C. Hardy 37 6 0 02 May 2019
PYRO-NN: Python Reconstruction Operators in Neural Networks Christopher Syben Markus Michen Bernhard Stimpel Stephan Seitz Stefan B. Ploner Andreas Maier AI4CE 51 62 0 30 Apr 2019
LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space T. Kim Pratyush Garg Justin P. Haldar 78 58 0 20 Apr 2019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning S. Ravishankar J. C. Ye Jeffrey A. Fessler 130 246 0 04 Apr 2019
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction Florian Knoll Kerstin Hammernik Fangqiu Yi S. Moeller Thomas Pock D. Sodickson Mehmet Akçakaya OOD 95 270 0 01 Apr 2019
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data A. Kofler M. Dewey T. Schaeffter Christian Wald C. Kolbitsch 3DPC 67 75 0 01 Apr 2019
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks Bihan Wen S. Ravishankar L. Pfister Y. Bresler MedIm 86 64 0 25 Mar 2019
Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning Joseph Y. Cheng Feiyu Chen Christopher M. Sandino Morteza Mardani John M. Pauly S. Vasanawala 73 12 0 19 Mar 2019
IMEXnet: A Forward Stable Deep Neural Network E. Haber Keegan Lensink Eran Treister Lars Ruthotto 109 41 0 06 Mar 2019
SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction Zhongnian Li Tao Zhang Peng Wan Daoqiang Zhang MedIm GAN 44 29 0 18 Feb 2019
On instabilities of deep learning in image reconstruction - Does AI come at a cost? Vegard Antun F. Renna C. Poon Ben Adcock A. Hansen 84 610 0 14 Feb 2019
Generalizing Deep Learning MRI Reconstruction across Different Domains O. Cheng Jo Schlemper C. Biffi Gavin Seegoolam Jose Caballero Anthony N. Price Joseph V. Hajnal Daniel Rueckert OOD 62 6 0 31 Jan 2019
Understanding Geometry of Encoder-Decoder CNNs J. C. Ye Woon Kyoung Sung 3DV AI4CE 95 74 0 22 Jan 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 156 876 0 18 Jan 2019
CRDN: Cascaded Residual Dense Networks for Dynamic MR Imaging with Edge-enhanced Loss Constraint Ziwen Ke Shanshan Wang Huitao Cheng L. Ying Qiegen Liu Hairong Zheng Dong Liang MedIm 43 5 0 18 Jan 2019
Self-Supervised Deep Active Accelerated MRI Kyong Hwan Jin M. Unser K. M. Yi OOD MedIm 76 60 0 14 Jan 2019