Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease

14 March 2018

Papers citing "Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease"

35 / 35 papers shown

Title
Deep Learning Assisted Outer Volume Removal for Highly-Accelerated Real-Time Dynamic MRI Merve Gülle Sebastian Weingärtner Mehmet Akçakaya 46 0 0 01 May 2025
Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion Model Yu Guan Kunlong Zhang Qi Qi Dong Wang Ziwen Ke Shaoyu Wang Dong Liang Qiegen Liu MedIm 42 0 0 06 Nov 2024
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
Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI Zi Wang Min Xiao Yirong Zhou Chengyan Wang Naiming Wu ... Congbo Cai He Wang D. Guo Guang Yang Xiaobo Qu 39 4 0 24 Feb 2024
NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps F. Zimmermann A. Kofler 27 1 0 27 Sep 2023
Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction Paul Fischer Thomas Kustner Christian F. Baumgartner 29 8 0 04 Aug 2023
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging Berk Iskender M. Klasky Y. Bresler 25 3 0 07 Apr 2023
HyperSLICE: HyperBand optimized Spiral for Low-latency Interactive Cardiac Examination Oliver Jaubert Javier Montalt-Tordera Dan Knight Simon Arridge J. Steeden V. Muthurangu 14 7 0 06 Feb 2023
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence Elif Keles Ulas Bagci 33 21 0 01 Feb 2023
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance C. Qin Daniel Rueckert 16 3 0 21 Sep 2022
A Projection-Based K-space Transformer Network for Undersampled Radial MRI Reconstruction with Limited Training Subjects Chang Gao Shu-Fu Shih J. Finn X. Zhong MedIm 9 5 0 15 Jun 2022
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers Jiahao Huang Yingying Fang Yang Nan Huanjun Wu Yinzhe Wu ... Zidong Wang Pietro Lio' Daniel Rueckert Yonina C. Eldar Guang Yang OOD MedIm 31 3 0 01 Apr 2022
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers Yilmaz Korkmaz S. Dar Mahmut Yurt Muzaffer Özbey Tolga Çukur ViT MedIm 19 190 0 15 May 2021
An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction A. Kofler Markus Haltmeier T. Schaeffter C. Kolbitsch 3DV 16 24 0 01 Feb 2021
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction Javier Montalt-Tordera V. Muthurangu A. Hauptmann J. Steeden AI4CE 15 40 0 09 Dec 2020
Deep Learning in Photoacoustic Tomography: Current approaches and future directions A. Hauptmann B. Cox 15 130 0 16 Sep 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 14 5 0 12 Aug 2020
On the unreasonable effectiveness of CNNs A. Hauptmann J. Adler 6 9 0 29 Jul 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 15 10 0 10 Jul 2020
On Learned Operator Correction in Inverse Problems Sebastian Lunz A. Hauptmann T. Tarvainen Carola-Bibiane Schönlieb Simon Arridge 4 3 0 14 May 2020
Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI A. Kofler M. Dewey T. Schaeffter C. Kolbitsch Markus Haltmeier 11 0 0 10 Feb 2020
Rapid Whole-Heart CMR with Single Volume Super-resolution J. Steeden Michael Quail A. Gotschy A. Hauptmann Simon Arridge R. Jones V. Muthurangu 8 53 0 22 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 16 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 22 24 0 18 Dec 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 18 42 0 24 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
Time-Dependent Deep Image Prior for Dynamic MRI Mikhail O. Chekanov Kyong Hwan Jin Harshit Gupta Jerome Yerly M. Stuber M. Unser MedIm 14 153 0 03 Oct 2019
Multi-Scale Learned Iterative Reconstruction A. Hauptmann J. Adler Simon Arridge Ozan Oktem 23 37 0 01 Aug 2019
Deep MRI Reconstruction: Unrolled Optimization Algorithms Meet Neural Networks Dong Liang Jing Cheng Ziwen Ke L. Ying 19 56 0 26 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
Spatio-Temporal Deep Learning-Based Undersampling Artefact Reduction for 2D Radial Cine MRI with Limited Data A. Kofler M. Dewey T. Schaeffter Christian Wald C. Kolbitsch 3DPC 21 74 0 01 Apr 2019
Plug and play methods for magnetic resonance imaging (long version) Rizwan Ahmad Charles A. Bouman G. Buzzard Stanley H. Chan Sizhuo Liu E. T. Reehorst Philip Schniter 4 191 0 20 Mar 2019
Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute Imaging with Electrical Impedance Tomography (a-EIT) S. Hamilton A. Hänninen A. Hauptmann V. Kolehmainen 19 63 0 30 Nov 2018
Networks for Nonlinear Diffusion Problems in Imaging Simon Arridge A. Hauptmann DiffM MedIm 6 18 0 29 Nov 2018
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MR Yoseob Han J. Yoo J. C. Ye MedIm OOD 100 231 0 03 Mar 2017