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
FD-Net: An Unsupervised Deep Forward-Distortion Model for Susceptibility Artifact Correction in EPI Abdallah Zaid Alkilani Tolga Çukur E. Saritas MedIm AAML 58 5 0 18 Mar 2023
DeDA: Deep Directed Accumulator Hang Zhang Rongguang Wang Renjiu Hu Jinwei Zhang Jiahao Nick Li MedIm 72 5 0 15 Mar 2023
Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for Dynamic MRI Tamir Shor Tomer Weiss Dor Noti A. Bronstein MedIm 45 1 0 13 Mar 2023
PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification Mevan Ekanayake Kamlesh Pawar Gary Egan Zhaolin Chen UQCV 57 0 0 28 Feb 2023
Learning Gradually Non-convex Image Priors Using Score Matching Erich Kobler Thomas Pock 88 3 0 21 Feb 2023
Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction Bo Zhou Jo Schlemper Neel Dey Seyed Sadegh Mohseni Salehi Kevin Sheth Chi Liu James S. Duncan M. Sofka OOD 76 18 0 18 Feb 2023
AliasNet: Alias Artefact Suppression Network for Accelerated Phase-Encode MRI M. B. Lorenzana Shekhar S. Chandra Feng Liu 88 1 0 17 Feb 2023
Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN S. Chatterjee Pavan Tummala Oliver Speck A. Nürnberger 69 10 0 09 Feb 2023
Reconstruction-driven motion estimation for motion-compensated MR CINE imaging Jiazhen Pan Wenqi Huang Daniel Rueckert Thomas Kustner Kerstin Hammernik 70 9 0 05 Feb 2023
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease R. Singhal Mukund Sudarshan Anish Mahishi S. Kaushik L. Ginocchio A. Tong H. Chandarana D. Sodickson Rajesh Ranganath S. Chopra 136 5 0 27 Jan 2023
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction George Yiasemis Clara I. Sánchez Jan-Jakob Sonke Jonas Teuwen 91 17 0 20 Jan 2023
Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction Daniel H. Pak Xiao Chen Eric Z. Chen Yikang Liu Terrence Chen Shanhui Sun 45 0 0 03 Jan 2023
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging Dominik Narnhofer Andreas Habring M. Holler Thomas Pock 76 14 0 23 Dec 2022
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging Wenqi Huang Hongwei Bran Li Jia Pan G. Cruz Daniel Rueckert Kerstin Hammernik 113 32 0 16 Dec 2022
Universal Generative Modeling in Dual-domain for Dynamic MR Imaging Chuanming Yu Yu Guan Ziwen Ke Dong Liang Qiegen Liu DiffM MedIm 81 0 0 15 Dec 2022
L2SR: Learning to Sample and Reconstruct for Accelerated MRI via Reinforcement Learning Pu Yang Bin Dong OffRL AI4TS 70 0 0 05 Dec 2022
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 71 6 0 27 Nov 2022
Iterative Data Refinement for Self-Supervised MR Image Reconstruction Xuechi Liu J. Zou Xiawu Zheng Cheng Li Hairong Zheng Shanshan Wang 56 1 0 24 Nov 2022
Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance Margaret Duff Ivor J. A. Simpson Matthias Joachim Ehrhardt Neill D. F. Campbell DiffM MedIm 49 5 0 26 Oct 2022
Stable Deep MRI Reconstruction using Generative Priors Martin Zach Florian Knoll Thomas Pock OOD MedIm DiffM 149 17 0 25 Oct 2022
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging Zehao Wang H. Fang Chen Qian Boxuan Shi L. Bao ... Jianjun Zhou Wenping Wei Jianzhong Lin D. Guo X. Qu 95 10 0 23 Oct 2022
JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI Lin Zhao Xiao Chen Eric Z. Chen Yikang Liu Dinggang Shen Terrence Chen Shanhui Sun 59 6 0 22 Oct 2022
Task-Based Assessment for Neural Networks: Evaluating Undersampled MRI Reconstructions based on Human Observer Signal Detection Joshua Herman Rachel E. Roca Alexandra G. OÑeill M. L. Wong S. Lingala A. Pineda 83 0 0 21 Oct 2022
A scan-specific unsupervised method for parallel MRI reconstruction via implicit neural representation Rui-jun Feng Qing Wu Yuyao Zhang Hongjiang Wei 92 4 0 19 Oct 2022
Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees Weijie Gan Chunwei Ying Parna Eshraghi Tongyao Wang C. Eldeniz Yuyang Hu Jiaming Liu Yasheng Chen Hongyu An Ulugbek S. Kamilov 90 4 0 07 Oct 2022
Semi-Blind Source Separation with Learned Constraints R. C. Gertosio J. Bobin F. Acero 70 2 0 27 Sep 2022
Scaling Laws For Deep Learning Based Image Reconstruction Tobit Klug Reinhard Heckel 122 13 0 27 Sep 2022
Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models Qing Lyu Ge Wang DiffM MedIm 176 87 0 24 Sep 2022
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance C. Qin Daniel Rueckert 78 3 0 21 Sep 2022
Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging Jiazhen Pan Daniel Rueckert Thomas Kustner Kerstin Hammernik 51 14 0 08 Sep 2022
A Path Towards Clinical Adaptation of Accelerated MRI Michael S. Yao M. Hansen MedIm 129 1 0 26 Aug 2022
One-shot Generative Prior in Hankel-k-space for Parallel Imaging Reconstruction Hong Peng Chenbo Jiang Jing Cheng Minghui Zhang Shanshan Wang Dong Liang Qiegen Liu DiffM MedIm 99 17 0 15 Aug 2022
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data Samah Khawaled Moti Freiman UQCV 25 2 0 08 Aug 2022
SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging J. Zou Cheng Li Seng Jia Shanshan Wang Tingrui Pei Hairong Zheng Shanshan Wang 77 15 0 08 Aug 2022
Multi-branch Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction Mevan Ekanayake Kamlesh Pawar Mehrtash Harandi Gary Egan Zhaolin Chen ViT MedIm 62 7 0 18 Jul 2022
GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction Batu Mehmet Ozturkler Arda Sahiner Tolga Ergen Arjun D Desai Christopher M. Sandino S. Vasanawala John M. Pauly Morteza Mardani Mert Pilanci 55 4 0 18 Jul 2022
Adaptive Diffusion Priors for Accelerated MRI Reconstruction Alper Gungor S. Dar cSaban Ozturk Yilmaz Korkmaz Gokberk Elmas Muzaffer Özbey Tolga cCukur DiffM MedIm 85 196 0 12 Jul 2022
A Densely Interconnected Network for Deep Learning Accelerated MRI Jon André Ottesen M. Caan I. Groote A. Bjørnerud 83 9 0 05 Jul 2022
A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction Balamurali Murugesan Sriprabha Ramanarayanan S. Vijayarangan Keerthi Ram N. Jagannathan M. Sivaprakasam 64 10 0 05 Jul 2022
Seeking Common Ground While Reserving Differences: Multiple Anatomy Collaborative Framework for Undersampled MRI Reconstruction Jiangpeng Yan Chen-Ping Yu Hanbo Chen Zhe Xu Junzhou Huang Xiu Li Jianhua Yao 64 0 0 15 Jun 2022
ERNAS: An Evolutionary Neural Architecture Search for Magnetic Resonance Image Reconstructions Samira Vafay Eslahi Jian Tao J. Ji 94 1 0 15 Jun 2022
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning Martin Genzel Ingo Gühring Jan Macdonald M. März 64 27 0 14 Jun 2022
Learned reconstruction methods with convergence guarantees Subhadip Mukherjee A. Hauptmann Ozan Oktem Marcelo Pereyra Carola-Bibiane Schönlieb 87 51 0 11 Jun 2022
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks A. Kofler Christian Wald T. Schaeffter Markus Haltmeier C. Kolbitsch 66 1 0 09 Jun 2022
Unsupervised Learning of the Total Variation Flow T. G. Grossmann Sören Dittmer Yury Korolev Carola-Bibiane Schönlieb 73 3 0 09 Jun 2022
Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery S. K. Shastri Rizwan Ahmad Christopher A. Metzler Philip Schniter 86 7 0 09 Jun 2022
Memory-efficient model-based deep learning with convergence and robustness guarantees Aniket Pramanik M. Zimmerman M. Jacob 3DV 75 13 0 06 Jun 2022
Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data Shijun Liang Anish Lahiri S. Ravishankar 72 3 0 01 Jun 2022
A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise Charles Millard M. Chiew 156 37 0 20 May 2022
WKGM: Weight-K-space Generative Model for Parallel Imaging Reconstruction Zongjiang Tu Die Liu Xiaoqing Wang Chenbo Jiang Pengwen Zhu Minghui Zhang Shanshan Wang Dong Liang Qiegen Liu MedIm 109 8 0 08 May 2022