k-Space Deep Learning for Accelerated MRI

10 May 2018

Papers citing "k-Space Deep Learning for Accelerated MRI"

50 / 58 papers shown

Title
Attention Incorporated Network for Sharing Low-rank, Image and K-space Information during MR Image Reconstruction to Achieve Single Breath-hold Cardiac Cine Imaging Siying Xu Kerstin Hammernik Andreas Lingg Jens Kuebler Patrick Krumm Daniel Rueckert S. Gatidis T. Kuestner 31 1 0 03 Jul 2024
Score-based Generative Priors Guided Model-driven Network for MRI Reconstruction Xiaoyu Qiao Weisheng Li Bin Xiao Yuping Huang Lijian Yang DiffM 32 3 0 05 May 2024
Adapting model-based deep learning to multiple acquisition conditions: Ada-MoDL Aniket Pramanik Sampada Bhave S. Sajib Samir D. Sharma M. Jacob AI4CE OOD 20 2 0 21 Apr 2023
AliasNet: Alias Artefact Suppression Network for Accelerated Phase-Encode MRI M. B. Lorenzana Shekhar S. Chandra Feng Liu 19 1 0 17 Feb 2023
Edge-weighted pFISTA-Net for MRI Reconstruction Jianpeng Cao 21 0 0 15 Feb 2023
Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN S. Chatterjee Pavan Tummala Oliver Speck A. Nürnberger 15 10 0 09 Feb 2023
A Deep Learning Approach for Parallel Imaging and Compressed Sensing MRI Reconstruction Farhan Sadik Md. Kamrul Hasan MedIm 17 0 0 19 Sep 2022
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction Zhuoxu Cui Chentao Cao Shaonan Liu Qingyong Zhu Jing Cheng Haifeng Wang Yanjie Zhu Dong Liang DiffM MedIm 39 36 0 02 Sep 2022
ICRICS: Iterative Compensation Recovery for Image Compressive Sensing Honggui Li M. Trocan Dimitri Galayko Mohamad Sawan 13 2 0 19 Jul 2022
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping Moritz Rempe F. Mentzel Kelsey L. Pomykala Johannes Haubold F. Nensa K. Kröninger Jan Egger Jens Kleesiek 29 8 0 19 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 33 8 0 08 May 2022
Multi-Weight Respecification of Scan-specific Learning for Parallel Imaging Hui Tao Haifeng Wang Shanshan Wang Dong Liang Xiaoling Xu Qiegen Liu 30 2 0 05 Apr 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
Rethinking the optimization process for self-supervised model-driven MRI reconstruction Weijian Huang Cheng Li Wen-Jie Fan Yongjin Zhou Qiegen Liu Hairong Zheng Shanshan Wang 28 3 0 18 Mar 2022
Towards performant and reliable undersampled MR reconstruction via diffusion model sampling Cheng-Fang Peng Pengfei Guo S. Kevin Zhou Vishal M. Patel Ramalingam Chellappa MedIm DiffM 28 92 0 08 Mar 2022
Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction Jaejin Cho B. Gagoski Taehyung Kim Q. Tian Stephen R. Frost I. Chatnuntawech B. Bilgiç 20 8 0 06 Feb 2022
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis Yutong Chen Carola-Bibiane Schönlieb Pietro Lio' T. Leiner P. Dragotti Ge Wang Daniel Rueckert D. Firmin Guang Yang 24 87 0 23 Dec 2021
One-dimensional Deep Low-rank and Sparse Network for Accelerated MRI Zi Wang Chao Qian D. Guo Hongwei Sun Rushuai Li Bo Zhao X. Qu 31 50 0 09 Dec 2021
Deep MRI Reconstruction with Radial Subsampling George Yiasemis Chaoping Zhang C. Sánchez J. Sonke Jonas Teuwen 23 9 0 17 Aug 2021
Multi-Modal MRI Reconstruction Assisted with Spatial Alignment Network Kai Xuan L. Xiang Xiaoqian Huang Lichi Zhang Shu Liao D. Shen Qian Wang 24 32 0 12 Aug 2021
Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks A. Razumov Oleg Y. Rogov Dmitry V. Dylov 35 9 0 10 Aug 2021
Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting Yilin Liu Yong Chen P. Yap 14 5 0 16 Jul 2021
Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution A. Belov J. Stadelmann Sergey Kastryulin Dmitry V. Dylov 17 6 0 04 Mar 2021
Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning Pengfei Guo Puyang Wang Jinyuan Zhou Shanshan Jiang Vishal M. Patel FedML OOD 27 143 0 03 Mar 2021
Model Adaptation for Image Reconstruction using Generalized Stein's Unbiased Risk Estimator H. Aggarwal M. Jacob 12 8 0 29 Jan 2021
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction Javier Montalt-Tordera V. Muthurangu A. Hauptmann J. Steeden AI4CE 17 40 0 09 Dec 2020
Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery Mahmut Yurt Muzaffer Özbey S. Dar Berk Tınaz K. Oguz Tolga Çukur MedIm 30 29 0 27 Nov 2020
Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation Gyutaek Oh J. Lee J. C. Ye 23 11 0 12 Nov 2020
ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms H. Aggarwal Aniket Pramanik Maneesh John M. Jacob 26 21 0 20 Oct 2020
Data and Image Prior Integration for Image Reconstruction Using Consensus Equilibrium Student Member Ieee Muhammad Usman Ghani F. I. W. Clem Karl 18 16 0 31 Aug 2020
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN Gyutaek Oh Byeongsu Sim Hyungjin Chung Leonard Sunwoo J. C. Ye OOD MedIm 27 69 0 29 Aug 2020
Real-Time Cardiac Cine MRI with Residual Convolutional Recurrent Neural Network Eric Z. Chen Xiao Chen Jingyuan Lyu Yuan Zheng Terrence Chen Jian Xu Shanhui Sun MedIm 16 5 0 12 Aug 2020
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data Hyungjin Chung Eunju Cha Leonard Sunwoo J. C. Ye MedIm 23 26 0 04 Aug 2020
Localized Motion Artifact Reduction on Brain MRI Using Deep Learning with Effective Data Augmentation Techniques Yijun Zhao Jacek Ossowski Xuming Wang Shangjin Li O. Devinsky Samantha P. Martin H. Pardoe MedIm 17 10 0 10 Jul 2020
MRI Image Reconstruction via Learning Optimization Using Neural ODEs Eric Z. Chen Terrence Chen Shanhui Sun 24 23 0 24 Jun 2020
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks S. A. Hosseini Burhaneddin Yaman S. Moeller Mehmet Akçakaya 17 7 0 12 May 2020
Unsupervised Deep Learning for MR Angiography with Flexible Temporal Resolution Eunju Cha Hyungjin Chung E. Kim J. C. Ye MedIm 25 0 0 29 Mar 2020
Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR Reconstruction Eunju Cha Gyutaek Oh J. C. Ye 21 11 0 17 Mar 2020
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior Bo Zhou S. Kevin Zhou 31 153 0 11 Jan 2020
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR) Aniket Pramanik H. Aggarwal M. Jacob 8 58 0 07 Dec 2019
Calibrationless Parallel MRI using Model based Deep Learning (C-MODL) Aniket Pramanik H. Aggarwal M. Jacob MedIm 11 2 0 27 Nov 2019
J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction H. Aggarwal M. Jacob 9 5 0 06 Nov 2019
Optimizing electrode positions in 2D Electrical Impedance Tomography using deep learning D. Smyl Dong Liu 21 34 0 21 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 15 80 0 21 Oct 2019
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation I. Oksuz J. Clough B. Ruijsink Esther Puyol-Antón A. Bustin G. Cruz Claudia Prieto A. King J. Schnabel 3DV MedIm 13 60 0 11 Oct 2019
Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction Jo Schlemper Jinming Duan C. Ouyang C. Qin Jose Caballero Joseph V. Hajnal Daniel Rueckert 18 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 15 22 0 25 Sep 2019
Real-time interactive magnetic resonance (MR) temperature imaging in both aqueous and adipose tissues using cascaded deep neural networks for MR-guided focused ultrasound surgery (MRgFUS) Jong-Min Kim You-Jin Jeong Han-Jae Chung Chulhyun Lee C. Oh AI4CE 11 0 0 29 Aug 2019
VS-Net: Variable splitting network for accelerated parallel MRI reconstruction Jinming Duan Jo Schlemper C. Qin C. Ouyang Wenjia Bai C. Biffi Ghalib A. Bello B. Statton D. O’Regan Daniel Rueckert 14 95 0 19 Jul 2019
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space Ilkay Oksuz J. Clough B. Ruijsink Esther Puyol-Antón A. Bustin G. Cruz Claudia Prieto Daniel Rueckert Andrew P. King Julia A. Schnabel MedIm 19 3 0 12 Jun 2019