Are deep learning MR reconstruction models robust against adversarial attacks?

Assessment of the Generalization of Learned Unsupervised Deep Learning Method

Brain MR image super-resolution using regularized deep image prior

Author:Yue Hu  Peng Li  Dong Nan  

Institution:Harbin Institute of Technology  The First Affiliated Hospital of Harbin Medical University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 4  

Program Number:3643  

Room Live Q&A Session:

Deep learning for undersampled spiral DENSE reconstruction

Author:Samuel Fielden  Eric Carruth  Christopher Nevius  Christopher Haggerty  Brandon Fornwalt  

Institution:Geisinger  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 4  

Program Number:3632  

Room Live Q&A Session:

Deep Residual Grappa (DeepGrappa): A General Purpose Self-calibrated AI based MR Reconstruction

Author:Hui Xue  James Moon  Peter Kellman  

Institution:Barts Heart Centre, Barts Health NHS Trust  NHLBI, NIH  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 4  

Program Number:3640  

Room Live Q&A Session:

A deep-learning based synthesized T2 weighted imaging with multi-modality information and k-space correction

Deep-learning reconstruction for 3D Delayed Myocardial Enhancement

Learning reconstruction without ground-truth data: an unsupervised way for fast MR imaging

Learning-based Optimization of the Under-sampling PattErn with Straight-Through Estimator (LOUPE-ST) for Fast MRI

Locally and Globally Concatenated Network for MR Image Reconstruction

Plug-and-Play Deep Learning Module for Faster Parallel MR Imaging

Author:Kamlesh Pawar  Gary Egan  Zhaolin Chen  

Institution:Monash University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 4  

Program Number:3642  

Room Live Q&A Session:

Quantitative and Volumetric Assessment of a Deep Cascade Network for MR Reconstruction Under Different Acceleration Factors

Author:Wallace Loos  Roberto Souza  Mariana Bento  Robert Lebel  Richard Frayne  

Institution:General Electric Healthcare  University of Calgary  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 4  

Program Number:3639  

Room Live Q&A Session:

Suppression of Artifact-Generating Echoes in Cine DENSE using Deep Learning

Author:Mohammad Abdishektaei  Xue Feng  Craig Meyer  Frederick Epstein  

Institution:University of Virginia  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 4  

Program Number:3633  

Room Live Q&A Session: