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
Convex Regularization Behind Neural Reconstruction Arda Sahiner Morteza Mardani Batu Mehmet Ozturkler Mert Pilanci John M. Pauly 72 25 0 09 Dec 2020
Lookahead optimizer improves the performance of Convolutional Autoencoders for reconstruction of natural images Sayan Nag DRL 31 2 0 03 Dec 2020
Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery Mahmut Yurt Muzaffer Özbey S. Dar Berk Tınaz K. Oguz Tolga Çukur MedIm 103 31 0 27 Nov 2020
Self-Supervised Physics-Guided Deep Learning Reconstruction For High-Resolution 3D LGE CMR Burhaneddin Yaman C. Shenoy Zilin Deng S. Moeller Hossam El-Rewaidy R. Nezafat Mehmet Akçakaya MedIm 156 20 0 18 Nov 2020
MGIC: Multigrid-in-Channels Neural Network Architectures Moshe Eliasof Jonathan Ephrath Lars Ruthotto Eran Treister 109 8 0 17 Nov 2020
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems Zaccharie Ramzi B. Remy F. Lanusse Jean-Luc Starck P. Ciuciu UQCV MedIm 81 14 0 16 Nov 2020
Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation Gyutaek Oh J. Lee J. C. Ye 51 11 0 12 Nov 2020
Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations Youssef Beauferris Jonas Teuwen D. Karkalousos N. Moriakov M. Caan ... Mike Lasby N. Nogovitsyn W. Loos Richard Frayne Roberto Souza OOD 55 39 0 10 Nov 2020
Solving Inverse Problems With Deep Neural Networks -- Robustness Included? Martin Genzel Jan Macdonald M. März AAML OOD 67 107 0 09 Nov 2020
Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients Misha P. T. Kaandorp S. Barbieri R. Klaassen H. Laarhoven H. Crezee P. T. While A. Nederveen O. Gurney-Champion 55 78 0 03 Nov 2020
Experimental design for MRI by greedy policy search Tim Bakker H. V. Hoof Max Welling 65 59 0 30 Oct 2020
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking Burhaneddin Yaman S. A. Hosseini S. Moeller Mehmet Akçakaya AI4CE 81 4 0 26 Oct 2020
ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms H. Aggarwal Aniket Pramanik Maneesh John M. Jacob 171 22 0 20 Oct 2020
Off-the-grid data-driven optimization of sampling schemes in MRI Alban Gossard F. Gournay P. Weiss 23 1 0 05 Oct 2020
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks M. J. Lagerwerf D. Pelt W. J. Palenstijn K. Batenburg 31 14 0 01 Oct 2020
Sampling possible reconstructions of undersampled acquisitions in MR imaging K. Tezcan Neerav Karani Christian F. Baumgartner E. Konukoglu 44 9 0 30 Sep 2020
Deep Learning in Photoacoustic Tomography: Current approaches and future directions A. Hauptmann B. Cox 142 132 0 16 Sep 2020
Unsupervised MRI Reconstruction with Generative Adversarial Networks Elizabeth K. Cole John M. Pauly S. Vasanawala Frank Ong GAN MedIm 67 51 0 29 Aug 2020
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN Gyutaek Oh Byeongsu Sim Hyungjin Chung Leonard Sunwoo J. C. Ye OOD MedIm 78 71 0 29 Aug 2020
Performance characterization of a novel deep learning-based MR image reconstruction pipeline PhD R. Marc Lebel MedIm 45 85 0 14 Aug 2020
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI Burhaneddin Yaman Hongyi Gu S. A. Hosseini Omer Burak Demirel S. Moeller J. Ellermann K. Uğurbil Mehmet Akçakaya OOD 111 39 0 13 Aug 2020
Real-Time Cardiac Cine MRI with Residual Convolutional Recurrent Neural Network Eric Z. Chen Xiao Chen Jingyuan Lyu Yuan Zheng Terrence Chen Jian Xu Shanhui Sun MedIm 110 6 0 12 Aug 2020
Learned Proximal Networks for Quantitative Susceptibility Mapping Kuo-Wei Lai M. Aggarwal P. Zijl Xu Li Jeremias Sulam 63 32 0 11 Aug 2020
3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI Jonathan Alush-Aben Linor Ackerman-Schraier Tomer Weiss S. Vedula Ortal Senouf A. Bronstein MedIm 103 15 0 11 Aug 2020
Wasserstein-based Projections with Applications to Inverse Problems Howard Heaton Samy Wu Fung A. Lin Stanley Osher W. Yin 82 3 0 05 Aug 2020
Jointly Sparse Signal Recovery and Support Recovery via Deep Learning with Applications in MIMO-based Grant-Free Random Access Ying Cui Shuaichao Li Wanqing Zhang 88 63 0 05 Aug 2020
Stabilizing Deep Tomographic Reconstruction Weiwen Wu Dianlin Hu W. Cong Hongming Shan Shaoyu Wang Chuang Niu Pingkun Yan Hengyong Yu V. Vardhanabhuti Ge Wang OOD 73 10 0 04 Aug 2020
Deep Parallel MRI Reconstruction Network Without Coil Sensitivities Wanyu Bian Yunmei Chen X. Ye 83 12 0 04 Aug 2020
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data Hyungjin Chung Eunju Cha Leonard Sunwoo J. C. Ye MedIm 89 26 0 04 Aug 2020
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data Alan Q. Wang Adrian Dalca M. Sabuncu 91 26 0 29 Jul 2020
On the unreasonable effectiveness of CNNs A. Hauptmann J. Adler 55 9 0 29 Jul 2020
Solving Phase Retrieval with a Learned Reference Rakib Hyder Zikui Cai M. Salman Asif 68 24 0 29 Jul 2020
Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI Jinwei Zhang Hang Zhang Alan Q. Wang Qihao Zhang M. Sabuncu P. Spincemaille Thanh D. Nguyen Yi Wang 108 35 0 28 Jul 2020
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction Yunmei Chen Hongcheng Liu X. Ye Qingchao Zhang 167 23 0 22 Jul 2020
Active MR k-space Sampling with Reinforcement Learning Luis Villaseñor-Pineda Sumana Basu Adriana Romero Roberto Calandra M. Drozdzal 83 71 0 20 Jul 2020
Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction C. Qin Jo Schlemper Kerstin Hammernik Jinming Duan Ronald M. Summers Daniel Rueckert 47 3 0 12 Jul 2020
Ground Truth Free Denoising by Optimal Transport Sören Dittmer Carola-Bibiane Schönlieb Peter Maass OT DiffM 52 2 0 03 Jul 2020
Joint Frequency and Image Space Learning for MRI Reconstruction and Analysis Nalini Singh Juan Eugenio Iglesias E. Adalsteinsson Adrian Dalca Polina Golland 76 20 0 02 Jul 2020
VPNet: Variable Projection Networks P. Kovács Gergő Bognár Christian Huber M. Huemer 55 28 0 28 Jun 2020
Training Variational Networks with Multi-Domain Simulations: Speed-of-Sound Image Reconstruction Mélanie Bernhardt V. Vishnevskiy R. Rau O. Goksel OOD 56 23 0 25 Jun 2020
MRI Image Reconstruction via Learning Optimization Using Neural ODEs Eric Z. Chen Terrence Chen Shanhui Sun 125 23 0 24 Jun 2020
Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness Yifeng Guo Chengjia Wang Heye Zhang Guang Yang GAN MedIm 50 19 0 23 Jun 2020
Deeply Learned Spectral Total Variation Decomposition T. G. Grossmann Yury Korolev Guy Gilboa Carola-Bibiane Schönlieb 69 4 0 17 Jun 2020
Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling Burhaneddin Yaman S. A. Hosseini Mehmet Akçakaya 58 3 0 16 Jun 2020
Total Deep Variation: A Stable Regularizer for Inverse Problems Erich Kobler Alexander Effland K. Kunisch Thomas Pock MedIm 82 19 0 15 Jun 2020
Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging Tianming Du Honggang Zhang Yuemeng Li H. K. Song Yong-Xian Fan 51 2 0 02 Jun 2020
On Learned Operator Correction in Inverse Problems Sebastian Lunz A. Hauptmann T. Tarvainen Carola-Bibiane Schönlieb Simon Arridge 79 4 0 14 May 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 135 539 0 12 May 2020
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks S. A. Hosseini Burhaneddin Yaman S. Moeller Mehmet Akçakaya 73 7 0 12 May 2020
Deep variational network for rapid 4D flow MRI reconstruction V. Vishnevskiy Jonas Walheim Sebastian Kozerke 61 69 0 20 Apr 2020