A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction

1 March 2017

Papers citing "A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction"

35 / 35 papers shown

Title
MambaRecon: MRI Reconstruction with Structured State Space Models Yilmaz Korkmaz V. Patel Mamba 35 2 0 19 Sep 2024
MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning Hwihun Jeong S. Chun Jongho Lee 36 2 0 16 Sep 2024
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning Wanyu Bian 30 5 0 03 Jun 2024
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets Frédéric Wang Han Qi A. D. Goyeneche Reinhard Heckel Michael Lustig Efrat Shimron 25 5 0 05 Aug 2023
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction Liping Zhang Xiaobo Li Weitian Chen 29 5 0 20 Jun 2023
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction Christoph Angermann Simon Göppel Markus Haltmeier 28 2 0 14 Apr 2023
AliasNet: Alias Artefact Suppression Network for Accelerated Phase-Encode MRI M. B. Lorenzana Shekhar S. Chandra Feng Liu 17 1 0 17 Feb 2023
Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction Jie Feng Rui-jun Feng Qing Wu Zhiyong Zhang Yuyao Zhang Hongjiang Wei 15 22 0 31 Dec 2022
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance C. Qin Daniel Rueckert 16 3 0 21 Sep 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 39 17 0 15 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 19 7 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 27 184 0 12 Jul 2022
K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction Zongjiang Tu Chenbo Jiang Yu Guan Shanshan Wang Jijun Liu Qiegen Liu Dong Liang MedIm 32 16 0 21 Mar 2022
Universal Generative Modeling for Calibration-free Parallel Mr Imaging Wanqing Zhu Bing Guan Shanshan Wang Minghui Zhang Qiegen Liu MedIm 22 4 0 25 Jan 2022
MRI Reconstruction Using Deep Energy-Based Model Yu Guan Zongjiang Tu Shanshan Wang Qiegen Liu Yuhao Wang Dong Liang DiffM MedIm 29 13 0 07 Sep 2021
A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors S. Dar Mahmut Yurt Tolga Çukur 13 4 0 13 Mar 2021
Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction Zaccharie Ramzi Jean-Luc Starck P. Ciuciu 28 18 0 05 Jan 2021
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems Zaccharie Ramzi B. Remy F. Lanusse Jean-Luc Starck P. Ciuciu UQCV MedIm 28 14 0 16 Nov 2020
Experimental design for MRI by greedy policy search Tim Bakker H. V. Hoof Max Welling 22 55 0 30 Oct 2020
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data Alan Q. Wang Adrian V. Dalca M. Sabuncu 17 26 0 29 Jul 2020
BlackBox: Generalizable Reconstruction of Extremal Values from Incomplete Spatio-Temporal Data T. Ivek Domagoj Vlah 38 4 0 30 Apr 2020
DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR Image Reconstruction Sriprabha Ramanarayanan Balamurali Murugesan Keerthi Ram M. Sivaprakasam 16 42 0 08 Jan 2020
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 19 105 0 27 Oct 2019
Towards multi-sequence MR image recovery from undersampled k-space data Cheng-Fang Peng Wei-An Lin Rama Chellappa S. Kevin Zhou 14 8 0 15 Aug 2019
Multi-Scale Learned Iterative Reconstruction A. Hauptmann J. Adler Simon Arridge Ozan Oktem 23 37 0 01 Aug 2019
Deep-learning inversion: a next generation seismic velocity-model building method Fangshu Yang Jianwei Ma 16 385 0 17 Feb 2019
Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI Thomas Sanchez Baran Gözcü R. Heeswijk Armin Eftekhari E. Ilıcak Tolga Çukur V. Cevher 11 29 0 01 Feb 2019
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 23 54 0 30 May 2018
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI Zhiwen Fan Liyan Sun Xinghao Ding Yue Huang C. Cai John Paisley MedIm 22 27 0 04 Apr 2018
A Deep Error Correction Network for Compressed Sensing MRI Liyan Sun Zhiwen Fan Yue Huang Xinghao Ding John Paisley MedIm 23 12 0 23 Mar 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 16 180 0 14 Mar 2018
MoDL: Model Based Deep Learning Architecture for Inverse Problems H. Aggarwal M. Mani M. Jacob 19 997 0 07 Dec 2017
A Transfer-Learning Approach for Accelerated MRI using Deep Neural Networks S. Dar Muzaffer Özbey Ahmet Burak Çatlı Tolga Çukur MedIm OOD 18 165 0 07 Oct 2017
Deep De-Aliasing for Fast Compressive Sensing MRI Simiao Yu Hao Dong Guang Yang Greg Slabaugh P. Dragotti ... Fangde Liu Simon Arridge J. Keegan D. Firmin Yike Guo MedIm OOD 21 58 0 19 May 2017
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 190 5,173 0 16 Sep 2016