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
An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction Nicola Pezzotti Sahar Yousefi Mohamed S. Elmahdy J. V. Gemert C. Schulke ... Sergey Kastryulin B. Lelieveldt M. Osch E. Weerdt Marius Staring 70 100 0 15 Apr 2020
End-to-End Variational Networks for Accelerated MRI Reconstruction Anuroop Sriram Jure Zbontar Tullie Murrell Aaron Defazio C. L. Zitnick N. Yakubova Florian Knoll Patricia M. Johnson DRL 100 318 0 14 Apr 2020
KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow Balamurali Murugesan S. Vijayarangan Kaushik Sarveswaran Keerthi Ram M. Sivaprakasam 78 12 0 11 Apr 2020
Analysis of Deep Complex-Valued Convolutional Neural Networks for MRI Reconstruction Elizabeth K. Cole Joseph Y. Cheng John M. Pauly S. Vasanawala 72 11 0 03 Apr 2020
Fractional Deep Neural Network via Constrained Optimization Harbir Antil R. Khatri R. Löhner Deepanshu Verma 60 29 0 01 Apr 2020
Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution Eunju Cha Hyungjin Chung E. Kim J. C. Ye MedIm 71 0 0 29 Mar 2020
Interval Neural Networks as Instability Detectors for Image Reconstructions Jan Macdonald M. März Luis Oala Wojciech Samek 52 2 0 27 Mar 2020
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection He Sun Adrian Dalca Katherine Bouman 64 15 0 23 Mar 2020
Applications of Deep Learning for Ill-Posed Inverse Problems Within Optical Tomography A. Peace MedIm 27 0 0 21 Mar 2020
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction Eunju Cha Gyutaek Oh J. C. Ye 113 12 0 17 Mar 2020
Kernel Bi-Linear Modeling for Reconstructing Data on Manifolds: The Dynamic-MRI Case Gaurav N. Shetty Konstantinos Slavakis Ukash Nakarmi G. Scutari L. Ying MedIm 20 1 0 27 Feb 2020
Improving Robustness of Deep-Learning-Based Image Reconstruction Ankit Raj Y. Bresler Yue Liu OOD AAML 96 51 0 26 Feb 2020
Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction Jiangpeng Yan Shuo Chen Yongbing Zhang Xiu Li 53 24 0 22 Feb 2020
Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI A. Kofler M. Dewey T. Schaeffter C. Kolbitsch Markus Haltmeier 39 0 0 10 Feb 2020
Free-breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser Sizhuo Liu E. T. Reehorst P. Schniter Rizwan Ahmad 115 3 0 08 Feb 2020
Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks Sayantan Bhadra Weimin Zhou M. Anastasio MedIm GAN 66 28 0 27 Jan 2020
MRI Banding Removal via Adversarial Training Aaron Defazio Tullie Murrell M. Recht MedIm 65 16 0 23 Jan 2020
Total Deep Variation for Linear Inverse Problems Erich Kobler Alexander Effland K. Kunisch Thomas Pock 98 89 0 14 Jan 2020
Deep Residual Dense U-Net for Resolution Enhancement in Accelerated MRI Acquisition Pak Lun Kevin Ding Zhiqiang Li Yuxiang Zhou Baoxin Li 67 35 0 13 Jan 2020
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior Bo Zhou S. Kevin Zhou 176 156 0 11 Jan 2020
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge Florian Knoll Tullie Murrell Anuroop Sriram N. Yakubova Jure Zbontar ... Aaron Defazio Matthew Muckley D. Sodickson C. L. Zitnick M. Recht 150 214 0 06 Jan 2020
The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems N. Gottschling Vegard Antun A. Hansen Ben Adcock 87 35 0 05 Jan 2020
Self-supervised Fine-tuning for Correcting Super-Resolution Convolutional Neural Networks Alice Lucas S. Tapia Rafael Molina Aggelos K. Katsaggelos SupR 55 0 0 30 Dec 2019
Handling Missing MRI Input Data in Deep Learning Segmentation of Brain Metastases: A Multi-Center Study E. Grøvik Darvin Yi Michael Iv E. Tong L. Nilsen ... K. Jacobsen Å. Helland K. Emblem D. Rubin Greg Zaharchuk 14 2 0 27 Dec 2019
An Unsupervised Deep Learning Method for Multi-coil Cine MRI Ziwen Ke Jing Cheng L. Ying Hairong Zheng Yanjie Zhu Dong Liang 49 0 0 20 Dec 2019
Neural Networks-based Regularization for Large-Scale Medical Image Reconstruction A. Kofler Markus Haltmeier T. Schaeffter M. Kachelriess M. Dewey Christian Wald C. Kolbitsch 45 1 0 19 Dec 2019
$Σ$ -net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction Kerstin Hammernik Jo Schlemper C. Qin Jinming Duan Ronald M. Summers Daniel Rueckert 73 24 0 18 Dec 2019
A hierarchical approach to deep learning and its application to tomographic reconstruction Lin Fu B. D. Man 62 20 0 16 Dec 2019
Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction Jiulong Liu Angelica I. Aviles-Rivero Hui Ji Carola-Bibiane Schönlieb 56 22 0 16 Dec 2019
Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms S. A. Hosseini Burhaneddin Yaman S. Moeller Mingyi Hong Mehmet Akçakaya AI4CE 65 8 0 16 Dec 2019
$Σ$ -net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction Jo Schlemper C. Qin Jinming Duan Ronald M. Summers Kerstin Hammernik 69 12 0 11 Dec 2019
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop Michael R. Kellman Jonathan I. Tamir E. Bostan Michael Lustig Laura Waller SupR 96 58 0 11 Dec 2019
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR) Aniket Pramanik H. Aggarwal M. Jacob 109 61 0 07 Dec 2019
Pyramid Convolutional RNN for MRI Image Reconstruction Eric Z. Chen Puyang Wang Xiao Chen Terrence Chen Shanhui Sun 86 44 0 02 Dec 2019
Calibrationless Parallel MRI using Model based Deep Learning (C-MODL) Aniket Pramanik H. Aggarwal M. Jacob MedIm 150 2 0 27 Nov 2019
Compressed MRI Reconstruction Exploiting a Rotation-Invariant Total Variation Discretization E. E. Esfahani A. Hosseini 107 6 0 26 Nov 2019
Invert to Learn to Invert P. Putzky Max Welling 76 76 0 25 Nov 2019
Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing Bernhard Stimpel Christopher Syben Franziska Schirrmacher P. Hoelter Arnd Dörfler Andreas Maier MedIm 35 24 0 18 Nov 2019
Accelerating cardiac cine MRI using a deep learning-based ESPIRiT reconstruction Christopher M. Sandino P. Lai S. Vasanawala Joseph Y. Cheng 118 3 0 13 Nov 2019
J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction H. Aggarwal M. Jacob 50 5 0 06 Nov 2019
Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction R. Souza M. Bento N. Nogovitsyn K. J. Chung R. Lebel Richard Frayne 86 59 0 04 Nov 2019
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction Anuroop Sriram Jure Zbontar Tullie Murrell C. L. Zitnick Aaron Defazio D. Sodickson 151 106 0 27 Oct 2019
Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model Mario O. Malavé C. Baron Srivathsan P. Koundinyan Christopher M. Sandino Frank Ong Joseph Y. Cheng D. Nishimura 174 42 0 24 Oct 2019
Learning Priors in High-frequency Domain for Inverse Imaging Reconstruction Zhuonan He Jinjie Zhou Dong Liang Yuhao Wang Qiegen Liu 52 3 0 23 Oct 2019
Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data Burhaneddin Yaman S. A. Hosseini S. Moeller J. Ellermann K. Uğurbil Mehmet Akçakaya OOD 123 82 0 21 Oct 2019
Time-Dependent Deep Image Prior for Dynamic MRI Mikhail O. Chekanov Kyong Hwan Jin Harshit Gupta Jerome Yerly M. Stuber M. Unser MedIm 93 158 0 03 Oct 2019
Blending Diverse Physical Priors with Neural Networks Yunhao Ba Guangyuan Zhao A. Kadambi PINN AI4CE 57 32 0 01 Oct 2019
Nonlinear Dipole Inversion (NDI) enables Quantitative Susceptibility Mapping (QSM) without parameter tuning D. Polak I. Chatnuntawech Jaeyeon Yoon S. Iyer Jongho Lee P. Bachert E. Adalsteinsson Kawin Setsompop B. Bilgiç 30 5 0 30 Sep 2019
Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction Jo Schlemper Jinming Duan Cheng Ouyang C. Qin Jose Caballero Joseph V. Hajnal Daniel Rueckert 122 13 0 25 Sep 2019
Optimal Transport driven CycleGAN for Unsupervised Learning in Inverse Problems Byeongsu Sim Gyutaek Oh Sungjun Lim Chanyong Jung J. C. Ye GAN MedIm 153 22 0 25 Sep 2019