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"

50 / 96 papers shown

Title
Accelerated Patient-specific Non-Cartesian MRI Reconstruction using Implicit Neural Representations Di Xu Hengjie Liu Xin Miao D. O’Connor Jessica E. Scholey ... Michael Ohliger Hui Lin Dan Ruan Yang Yang K. Sheng MedIm 136 0 0 07 Mar 2025
MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning Hwihun Jeong S. Chun Jongho Lee 100 2 0 16 Sep 2024
DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction Ziqi Gao Yue Zhang Xinwen Liu Kaiyan Li S. Kevin Zhou 82 1 0 08 Mar 2024
The Significance of Machine Learning in Clinical Disease Diagnosis: A Review S. M. A. Rahman Sifat Ibtisum Ehsan Bazgir Tumpa Barai LM&MA 72 20 0 25 Oct 2023
HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction Sriprabha Ramanarayanan Mohammad Al Fahim R. G. S. Amrit Kumar Jethi Keerthi Ram M. Sivaprakasam 60 2 0 09 Aug 2023
SDLFormer: A Sparse and Dense Locality-enhanced Transformer for Accelerated MR Image Reconstruction Rahul G.S. Sriprabha Ramnarayanan Mohammad Al Fahim Keerthi Ram Preejith S.P M. Sivaprakasam ViT MedIm 60 2 0 08 Aug 2023
Deep unrolling Shrinkage Network for Dynamic MR imaging Yinghao Zhang Xiaodi Li Weihang Li Yue Hu 67 4 0 19 Jul 2023
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI? Jiahao Huang Angelica Aviles-Rivero Carola-Bibiane Schönlieb Guang Yang DiffM MedIm 64 15 0 25 Jun 2023
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction Liping Zhang Xiaobo Li Weitian Chen 88 5 0 20 Jun 2023
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction Mevan Ekanayake Zhiwen Chen Mehrtash Harandi Gary Egan Zhaolin Chen 91 3 0 01 Jun 2023
Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction Jie Feng Rui-jun Feng Qing Wu Zhiyong Zhang Yuyao Zhang Hongjiang Wei 83 28 0 31 Dec 2022
Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models Mischa Dombrowski Hadrien Reynaud Matthew Baugh Bernhard Kainz DiffM 98 3 0 29 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
Iterative Data Refinement for Self-Supervised MR Image Reconstruction Xuechi Liu J. Zou Xiawu Zheng Cheng Li Hairong Zheng Shanshan Wang 59 1 0 24 Nov 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 103 17 0 15 Aug 2022
Adversarial Robustness of MR Image Reconstruction under Realistic Perturbations Jan Nikolas Morshuis S. Gatidis Matthias Hein Christian F. Baumgartner AAML OOD 95 13 0 05 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 72 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 85 196 0 12 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
Transformer Compressed Sensing via Global Image Tokens M. B. Lorenzana Craig B. Engstrom Shekhar S. Chandra ViT MedIm 82 5 0 24 Mar 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 105 16 0 21 Mar 2022
Federated Learning of Generative Image Priors for MRI Reconstruction Gokberk Elmas S. Dar Yilmaz Korkmaz Emir Ceyani Burak Susam Muzaffer Özbey Salman Avestimehr Tolga cCukur FedML MedIm AI4CE 117 91 0 08 Feb 2022
Universal Generative Modeling for Calibration-free Parallel Mr Imaging Wanqing Zhu Bing Guan Shanshan Wang Minghui Zhang Qiegen Liu MedIm 53 4 0 25 Jan 2022
Reconstruction of Incomplete Wildfire Data using Deep Generative Models T. Ivek Domagoj Vlah SyDa 73 7 0 16 Jan 2022
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
Data augmentation for deep learning based accelerated MRI reconstruction with limited data Zalan Fabian Reinhard Heckel Mahdi Soltanolkotabi OOD MedIm 72 51 0 28 Jun 2021
Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network Fasil Gadjimuradov Thomas Benkert M. Nickel Andreas Maier OOD 60 12 0 19 May 2021
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers Yilmaz Korkmaz S. Dar Mahmut Yurt Muzaffer Özbey Tolga Çukur ViT MedIm 118 194 0 15 May 2021
A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors S. Dar Mahmut Yurt Tolga Çukur 75 4 0 13 Mar 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 121 136 0 20 Jan 2021
Density Compensated Unrolled Networks for Non-Cartesian MRI Reconstruction Zaccharie Ramzi Jean-Luc Starck P. Ciuciu 74 19 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 81 14 0 16 Nov 2020
Experimental design for MRI by greedy policy search Tim Bakker H. V. Hoof Max Welling 67 59 0 30 Oct 2020
Deep Learning in Photoacoustic Tomography: Current approaches and future directions A. Hauptmann B. Cox 142 132 0 16 Sep 2020
Enhanced MRI Reconstruction Network using Neural Architecture Search Qiaoying Huang Dong Yang Yikun Xian Pengxiang Wu Jingru Yi Hui Qu Dimitris N. Metaxas 55 10 0 19 Aug 2020
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction Cong Quan Jinjie Zhou Yuanzheng Zhu Yang Chen Shanshan Wang Dong Liang Qiegen Liu DiffM MedIm 82 26 0 14 Aug 2020
Stabilizing Deep Tomographic Reconstruction Weiwen Wu Dianlin Hu W. Cong Hongming Shan Shaoyu Wang Chuang Niu Pingkun Yan Hengyong Yu V. Vardhanabhuti Ge Wang OOD 81 10 0 04 Aug 2020
Neural Network-based Reconstruction in Compressed Sensing MRI Without Fully-sampled Training Data Alan Q. Wang Adrian Dalca M. Sabuncu 96 26 0 29 Jul 2020
Accelerated MRI with Un-trained Neural Networks Mohammad Zalbagi Darestani Reinhard Heckel 73 4 0 06 Jul 2020
Regularization of Inverse Problems by Neural Networks Markus Haltmeier Linh V. Nguyen 82 18 0 06 Jun 2020
BlackBox: Generalizable Reconstruction of Extremal Values from Incomplete Spatio-Temporal Data T. Ivek Domagoj Vlah 74 4 0 30 Apr 2020
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
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 81 12 0 11 Apr 2020
Applications of Deep Learning for Ill-Posed Inverse Problems Within Optical Tomography A. Peace MedIm 31 0 0 21 Mar 2020
1D Probabilistic Undersampling Pattern Optimization for MR Image Reconstruction Shengke Xue Ruiliang Bai Xinyu Jin 115 0 0 08 Mar 2020
Improving Robustness of Deep-Learning-Based Image Reconstruction Ankit Raj Y. Bresler Yue Liu OOD AAML 96 51 0 26 Feb 2020
Deep Learning for Biomedical Image Reconstruction: A Survey Hanene Ben Yedder Ben Cardoen Ghassan Hamarneh MedIm 3DV 137 97 0 26 Feb 2020
Secure and Robust Machine Learning for Healthcare: A Survey A. Qayyum Junaid Qadir Muhammad Bilal Ala I. Al-Fuqaha AAML OOD 98 392 0 21 Jan 2020
DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR Image Reconstruction Sriprabha Ramanarayanan Balamurali Murugesan Keerthi Ram M. Sivaprakasam 62 42 0 08 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 95 35 0 05 Jan 2020