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
Universal Deep Beamformer for Variable Rate Ultrasound Imaging Shujaat Khan Jaeyoung Huh J. C. Ye 56 10 0 07 Jan 2019
Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery Gaurav N. Shetty Konstantinos Slavakis Abhishek Bose Ukash Nakarmi G. Scutari L. Ying 70 25 0 27 Dec 2018
MoDL-MUSSELS: Model-Based Deep Learning for Multi-Shot Sensitivity Encoded Diffusion MRI H. Aggarwal M. Mani M. Jacob MedIm 74 44 0 19 Dec 2018
Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks J. Andersson H. Ahlström J. Kullberg MedIm 67 33 0 12 Dec 2018
Regularization by architecture: A deep prior approach for inverse problems Sören Dittmer T. Kluth Peter Maass Daniel Otero Baguer 102 98 0 10 Dec 2018
SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction Fang Liu Lihua Chen Richard Kijowski Li Feng 71 58 0 08 Dec 2018
Brain Segmentation from k-space with End-to-end Recurrent Attention Network Qiaoying Huang Xiao Chen Dimitris N. Metaxas M. Nadar MedIm 53 1 0 05 Dec 2018
Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute Imaging with Electrical Impedance Tomography (a-EIT) S. Hamilton A. Hänninen A. Hauptmann V. Kolehmainen 67 64 0 30 Nov 2018
Networks for Nonlinear Diffusion Problems in Imaging Simon Arridge A. Hauptmann DiffM MedIm 70 18 0 29 Nov 2018
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Jure Zbontar Florian Knoll Anuroop Sriram Tullie Murrell Zhengnan Huang ... Erich Owens C. L. Zitnick M. Recht D. Sodickson Yvonne W. Lui OOD 123 850 0 21 Nov 2018
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction Angelica I. Aviles-Rivero Noémie Debroux Guy B. Williams M. Graves C. Schoenlieb MedIm 66 29 0 25 Oct 2018
A Gentle Introduction to Deep Learning in Medical Image Processing Andreas Maier Christopher Syben Tobias Lasser Christian Riess PINN 79 433 0 12 Oct 2018
Computationally Efficient Deep Neural Network for Computed Tomography Image Reconstruction Dufan Wu Kyungsang Kim Quanzheng Li 43 44 0 05 Oct 2018
DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training Shanshan Wang Ziwen Ke Huitao Cheng Seng Jia L. Ying Hairong Zheng Dong Liang 95 122 0 30 Sep 2018
MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR T2 mapping Fang Liu Li Feng Richard Kijowski 39 0 0 02 Sep 2018
Task adapted reconstruction for inverse problems J. Adler Sebastian Lunz Olivier Verdier Carola-Bibiane Schönlieb Ozan Oktem 75 43 0 27 Aug 2018
Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging Michael R. Kellman E. Bostan N. Repina Laura Waller 137 125 0 10 Aug 2018
CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE) Chenyu You Guang Li Yi Zhang Xiaoliu Zhang Hongming Shan ... Zhuiyang Zhang W. Cong Michael W. Vannier P. Saha Ge Wang MedIm GAN SupR 90 409 0 10 Aug 2018
Highly Accelerated Multishot EPI through Synergistic Machine Learning and Joint Reconstruction B. Bilgiç I. Chatnuntawech M. Manhard Q. Tian C. Liao S. Cauley S. Huang J. Polimeni L. Wald Kawin Setsompop 18 1 0 08 Aug 2018
Non-Learning based Deep Parallel MRI Reconstruction (NLDpMRI) A. Yazdanpanah O. Afacan Simon K. Warfield OOD 54 10 0 06 Aug 2018
MoCoNet: Motion Correction in 3D MPRAGE images using a Convolutional Neural Network approach Kamlesh Pawar Zhaolin Chen N. Shah Gary F. Egan 85 20 0 29 Jul 2018
Image Reconstruction via Variational Network for Real-Time Hand-Held Sound-Speed Imaging V. Vishnevskiy S. Sanabria O. Goksel 53 30 0 19 Jul 2018
$Model-based free-breathing cardiac MRI reconstruction using deep learned \& STORM priors: MoDL-STORM$ Model-based free-breathing cardiac MRI reconstruction using deep learned \& STORM priors: MoDL-STORM Sampurna Biswas H. Aggarwal Sunrita Poddar M. Jacob 18 11 0 10 Jul 2018
Complex Fully Convolutional Neural Networks for MR Image Reconstruction M. A. Dedmari Sailesh Conjeti Santiago Estrada Phillip Ehses T. Stöcker M. Reuter 71 46 0 09 Jul 2018
Approximate k-space models and Deep Learning for fast photoacoustic reconstruction A. Hauptmann B. Cox F. Lucka N. Huynh M. Betcke P. Beard Simon Arridge 52 42 0 09 Jul 2018
Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network Kuang Gong Kyungsang Kim Jianan Cui Ning Guo C. Catana J. Qi Quanzheng Li MedIm 23 6 0 04 Jul 2018
Compressed Sensing with Deep Image Prior and Learned Regularization Dave Van Veen A. Jalal Mahdi Soltanolkotabi Eric Price S. Vishwanath A. Dimakis 139 182 0 17 Jun 2018
Training deep learning based image denoisers from undersampled measurements without ground truth and without image prior Magauiya Zhussip Shakarim Soltanayev S. Chun 76 58 0 04 Jun 2018
k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography Eunju Cha E. Kim J. C. Ye 63 5 0 03 Jun 2018
Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI Jo Schlemper Guang Yang Pedro F. Ferreira Andrew D. Scott L. McGill ... M. Roehl J. Keegan D. Pennell D. Firmin Daniel Rueckert MedIm DiffM 64 54 0 30 May 2018
Adversarial Regularizers in Inverse Problems Sebastian Lunz Ozan Oktem Carola-Bibiane Schönlieb GAN MedIm 129 221 0 29 May 2018
Synergistic Reconstruction and Synthesis via Generative Adversarial Networks for Accelerated Multi-Contrast MRI S. Dar Mahmut Yurt M. Shahdloo M. E. Ildiz Tolga Çukur MedIm 46 25 0 27 May 2018
k-Space Deep Learning for Accelerated MRI Yoseob Han Leonard Sunwoo J. C. Ye 119 190 0 10 May 2018
Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering Joseph Y. Cheng Feiyu Chen M. Alley John M. Pauly S. Vasanawala 96 43 0 08 May 2018
$All-Optical Machine Learning Using Diffractive Deep Neural Networks$ All-Optical Machine Learning Using Diffractive Deep Neural Networks Xing Lin Y. Rivenson N. Yardimci Muhammed Veli Mona Jarrahi Aydogan Ozcan 151 1,688 0 14 Apr 2018
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks Dongwook Lee Jaejun Yoo S. Tak J. C. Ye OOD 85 300 0 02 Apr 2018
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease A. Hauptmann Simon Arridge F. Lucka V. Muthurangu J. Steeden 81 183 0 14 Mar 2018
NETT: Solving Inverse Problems with Deep Neural Networks Housen Li Johannes Schwab Stephan Antholzer Markus Haltmeier 112 246 0 28 Feb 2018
Solving Inverse Computational Imaging Problems using Deep Pixel-level Prior Akshat Dave Anil Kumar Vadathya R. Subramanyam R. Baburajan Kaushik Mitra 61 22 0 27 Feb 2018
Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery Il Yong Chun Jeffrey A. Fessler 64 70 0 20 Feb 2018
Efficient B-mode Ultrasound Image Reconstruction from Sub-sampled RF Data using Deep Learning Y. Yoon Shujaat Khan Jaeyoung Huh J. C. Ye 135 116 0 17 Dec 2017
MoDL: Model Based Deep Learning Architecture for Inverse Problems H. Aggarwal M. Mani M. Jacob 232 1,026 0 07 Dec 2017
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction C. Qin Jo Schlemper Jose Caballero Anthony N. Price Joseph V. Hajnal Daniel Rueckert MedIm 117 502 0 05 Dec 2017
MR image reconstruction using deep density priors K. Tezcan Christian F. Baumgartner R. Luechinger K. Pruessmann E. Konukoglu 82 139 0 30 Nov 2017
A Transfer-Learning Approach for Accelerated MRI using Deep Neural Networks S. Dar Muzaffer Özbey Ahmet Burak Çatlı Tolga Çukur MedIm OOD 149 166 0 07 Oct 2017
Deep learning for undersampled MRI reconstruction Chang Min Hyun Hwa Pyung Kim S. Lee Sungchul Lee J.K. Seo 73 459 0 08 Sep 2017
Model based learning for accelerated, limited-view 3D photoacoustic tomography A. Hauptmann F. Lucka M. Betcke N. Huynh J. Adler B. Cox P. Beard Sebastien Ourselin Simon Arridge MedIm 77 292 0 31 Aug 2017
LEARN: Learned Experts' Assessment-based Reconstruction Network for Sparse-data CT Hu Chen Yi Zhang Yunjin Chen Junfeng Zhang Wei-hua Zhang Huaiqiang Sun Kun He Peixi Liao Jiliu Zhou Ge Wang OOD 83 16 0 30 Jul 2017
Learned Primal-dual Reconstruction J. Adler Ozan Oktem MedIm 118 754 0 20 Jul 2017
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk Paul Hand V. Voroninski UQCV 185 138 0 22 May 2017