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
A review and experimental evaluation of deep learning methods for MRI reconstruction Arghya Pal Yogesh Rathi 3DV 111 47 0 17 Sep 2021
Subtle Data Crimes: Naively training machine learning algorithms could lead to overly-optimistic results Efrat Shimron Jonathan I. Tamir Ke Wang Michael Lustig AI4CE 53 11 0 16 Sep 2021
Quality-aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled k-space Data Ines P. Machado Esther Puyol-Antón Kerstin Hammernik G. Cruz Devran Ugurlu ... M. Castelo‐Branco Alistair Young Claudia Prieto Julia A. Schnabel A. King 26 5 0 16 Sep 2021
fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data Ruiyang Zhao Burhaneddin Yaman Yuxin Zhang Russell Stewart Austin X. Dixon Florian Knoll Zhengnan Huang Yvonne W. Lui M. Hansen M. Lungren 78 29 0 08 Sep 2021
MRI Reconstruction Using Deep Energy-Based Model Yu Guan Zongjiang Tu Shanshan Wang Qiegen Liu Yuhao Wang Dong Liang DiffM MedIm 84 14 0 07 Sep 2021
High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss Ke Wang Jonathan I. Tamir A. D. Goyeneche U. Wollner R. Brada Stella X. Yu Michael Lustig 29 18 0 27 Aug 2021
Regularizing Instabilities in Image Reconstruction Arising from Learned Denoisers Abinash Nayak 51 0 0 21 Aug 2021
Deep MRI Reconstruction with Radial Subsampling George Yiasemis Chaoping Zhang C. Sánchez Jan-Jakob Sonke Jonas Teuwen 128 9 0 17 Aug 2021
Is Differentiable Architecture Search truly a One-Shot Method? Jonas Geiping Jovita Lukasik Margret Keuper Michael Moeller 106 0 0 12 Aug 2021
Known Operator Learning and Hybrid Machine Learning in Medical Imaging -- A Review of the Past, the Present, and the Future Andreas K. Maier Harald Kostler M. Heisig P. Krauss S. Yang MedIm 129 30 0 10 Aug 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 109 339 0 03 Aug 2021
Simultaneous boundary shape estimation and velocity field de-noising in Magnetic Resonance Velocimetry using Physics-informed Neural Networks Ushnish Sengupta Alexandros Kontogiannis M. Juniper 23 0 0 16 Jul 2021
Multi-Modal Transformer for Accelerated MR Imaging Chun-Mei Feng Yu-bao Yan Geng Chen Yong Xu Ling Shao Huazhu Fu MedIm ViT 103 109 0 27 Jun 2021
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution Chun-Mei Feng Yu-bao Yan Huazhu Fu Li Chen Yong Xu ViT MedIm 84 126 0 12 Jun 2021
Learning the optimal Tikhonov regularizer for inverse problems Giovanni S. Alberti Ernesto De Vito Matti Lassas Luca Ratti Matteo Santacesaria 76 30 0 11 Jun 2021
SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks Kuan Zhang Haoji Hu Kenneth A. Philbrick G. Conte Joseph D. Sobek Pouria Rouzrokh Bradley J. Erickson GAN MedIm 54 80 0 04 Jun 2021
Is good old GRAPPA dead? Zaccharie Ramzi A. Vignaud Jean-Luc Starck P. Ciuciu 69 1 0 01 Jun 2021
Deep Learning Techniques for Compressive Sensing-Based Reconstruction and Inference -- A Ubiquitous Systems Perspective Alina L. Machidon V. Pejović 122 6 0 26 May 2021
Learning a Model-Driven Variational Network for Deformable Image Registration Xi Jia A. Thorley Wei Chen Huaqi Qiu Linlin Shen ... A. Leonardis A. de Marvao D. O’Regan Daniel Rueckert Jinming Duan MedIm 82 31 0 25 May 2021
Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network Fasil Gadjimuradov Thomas Benkert M. Nickel Andreas Maier OOD 45 12 0 19 May 2021
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI Aniket Pramanik Xiaodong Wu M. Jacob 3DV 58 5 0 19 May 2021
Transfer Learning Enhanced Generative Adversarial Networks for Multi-Channel MRI Reconstruction Jun Lv Guangyuan Li Xiangrong Tong Weibo Chen Jiahao Huang Chengyan Wang Guang Yang GAN DiffM MedIm 57 57 0 17 May 2021
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers Yilmaz Korkmaz S. Dar Mahmut Yurt Muzaffer Özbey Tolga Çukur ViT MedIm 110 194 0 15 May 2021
End-to-End Sequential Sampling and Reconstruction for MRI Tianwei Yin Zihui Wu He Sun Adrian Dalca Yisong Yue Katherine Bouman 98 20 0 13 May 2021
20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction Omer Burak Demirel Burhaneddin Yaman Logan T Dowdle S. Moeller L. Vizioli E. Yacoub J. Strupp C. Olman Kamil Uugurbil Mehmet Akccakaya 89 20 0 12 May 2021
Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning Omer Burak Demirel Burhaneddin Yaman Logan T Dowdle S. Moeller L. Vizioli E. Yacoub J. Strupp C. Olman Kamil Uugurbil Mehmet Akccakaya 66 11 0 10 May 2021
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging -- Mini Review, Comparison and Perspectives Guang Yang Jun Lv Yutong Chen Jiahao Huang Jin Zhu MedIm 49 10 0 04 May 2021
Learning Regularization Parameters of Inverse Problems via Deep Neural Networks B. Afkham Julianne Chung Matthias Chung 58 49 0 14 Apr 2021
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction Chun-Mei Feng Zhanyuan Yang Geng Chen Yong Xu Ling Shao 74 30 0 12 Apr 2021
Adaptive Gradient Balancing for Undersampled MRI Reconstruction and Image-to-Image Translation Itzik Malkiel Sangtae Ahn V. Taviani A. Menini Lior Wolf C. Hardy MedIm 18 0 0 05 Apr 2021
Synthesizing MR Image Contrast Enhancement Using 3D High-resolution ConvNets Chao Chen Catalina Raymond Bill Speier Xinyu Jin T. Cloughesy D. Enzmann B. Ellingson C. Arnold MedIm 63 40 0 04 Apr 2021
Scan Specific Artifact Reduction in K-space (SPARK) Neural Networks Synergize with Physics-based Reconstruction to Accelerate MRI Yamin Arefeen Onur Beker Jaejin Cho Heng Yu E. Adalsteinsson B. Bilgiç 149 34 0 02 Apr 2021
High-quality Low-dose CT Reconstruction Using Convolutional Neural Networks with Spatial and Channel Squeeze and Excitation Jingfeng Lu Shuo Wang P. Li D. Ye 37 0 0 01 Apr 2021
ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data S. Chatterjee Mario Breitkopf Chompunuch Sarasaen Hadya Yassin G. Rose A. Nürnberger Oliver Speck 70 27 0 16 Mar 2021
A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors S. Dar Mahmut Yurt Tolga Çukur 73 4 0 13 Mar 2021
Universal Undersampled MRI Reconstruction Xinwen Liu Jing Wang Feng Liu S.Kevin Zhou OOD 85 24 0 09 Mar 2021
Memory-efficient Learning for High-Dimensional MRI Reconstruction Ke Wang Michael R. Kellman Christopher M. Sandino Kevin Zhang S. Vasanawala Jonathan I. Tamir Stella X. Yu Michael Lustig MedIm 50 12 0 06 Mar 2021
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization Marius Arvinte S. Vishwanath Ahmed H. Tewfik Jonathan I. Tamir 104 38 0 02 Mar 2021
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations Fangqiu Yi Jinghan Jia Burhaneddin Yaman S. Moeller Sijia Liu Mingyi Hong Mehmet Akçakaya AAML 56 8 0 25 Feb 2021
Zero-Shot Self-Supervised Learning for MRI Reconstruction Burhaneddin Yaman S. A. Hosseini Mehmet Akçakaya 100 71 0 15 Feb 2021
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction Dominik Narnhofer Alexander Effland Erich Kobler Kerstin Hammernik Florian Knoll Thomas Pock UQCV BDL 77 51 0 12 Feb 2021
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge Chompunuch Sarasaen S. Chatterjee Mario Breitkopf G. Rose A. Nürnberger Oliver Speck SupR 72 35 0 04 Feb 2021
An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction A. Kofler Markus Haltmeier T. Schaeffter C. Kolbitsch 3DV 67 24 0 01 Feb 2021
Neural Network architectures to classify emotions in Indian Classical Music U. Sarkar Sayan Nag Medha Basu Archi Banerjee S. Sanyal R. Sengupta D. Ghosh 26 1 0 01 Feb 2021
Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator H. Aggarwal M. Jacob 69 8 0 29 Jan 2021
MoDL-QSM: Model-based Deep Learning for Quantitative Susceptibility Mapping Rui-jun Feng Jiayi Zhao He Wang Baofeng Yang Jie Feng ... Ming Zhang Chunlei Liu Yuyao Zhang Zhuang Jie Hongjiang Wei 41 34 0 21 Jan 2021
Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem Matthew J. Colbrook Vegard Antun A. Hansen 119 136 0 20 Jan 2021
Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction Zaccharie Ramzi Jean-Luc Starck P. Ciuciu 72 19 0 05 Jan 2021
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction Javier Montalt-Tordera V. Muthurangu A. Hauptmann J. Steeden AI4CE 120 42 0 09 Dec 2020
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction Matthew Muckley Bruno Riemenschneider A. Radmanesh Sunwoo Kim Geunu Jeong ... Anuroop Sriram Zhengnan Huang N. Yakubova Yvonne W. Lui Florian Knoll OOD 84 45 0 09 Dec 2020