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Are deep learning MR reconstruction models robust against adversarial attacks?

Author:Taohui Xiao  Cheng Li  Haoyun Liang  Hairong Zheng  Shanshan Wang  

Institution:Paul C. Lauterbur Research Center for Biomedical Imaging, SIAT, Chinese Academy of Sciences, Shenzhen, P.R.China  

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:3641  

Room Live Q&A Session:

Assessment of the Generalization of Learned Unsupervised Deep Learning Method

Author:Ziwen Ke  Yanjie Zhu  Jing Cheng  Leslie Ying  Xin Liu  Hairong Zheng  Dong Liang  

Institution:Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences  The State University of New York  University of Chinese Academy of Sciences  

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:3630  

Room Live Q&A Session:

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

Author:Qing Tang  Ye Li  Hangfei Liu  Tao Zhang  

Institution:High Field Magnetic Resonance Brain Imaging Laboratory of Sichuan  School of Life Science and Technology, University of Electronic Science and Technology of China  Key Laboratory for Neuro Information, Ministry of Education  

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:3638  

Room Live Q&A Session:

Deep-learning reconstruction for 3D Delayed Myocardial Enhancement

Author:Gaspar Delso  Suryanarayanan Kaushik  Graeme McKinnon  Daniel Lorenzatti  Julián Vega  Teresa Caralt  Adelina Doltra  José Ortiz-Pérez  Rosario Perea  Susanna Prat  Marta Sitges  Martin Janich  

Institution:GE Healthcare  Hospital Clínic de Barcelona  

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:3631  

Room Live Q&A Session:

Image Reconstruction Using Generative Adversarial Networks with MR-Specific Feature Map

Author:Ruiying Liu  Hongyu Li  Dong Liang  Xiaojuan Li  Chaoyi Zhang  Peizhou Zhou  Leslie Ying  Xiaoliang Zhang  

Institution:Paul C. Lauterbur Research Center for Biomedical Imaging, SIAT, CAS,  Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic  The State University of New York at Buffalo  

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:3637  

Room Live Q&A Session:

Impact of machine learning in iterative motion corrected reconstructions

Author:Rita Nunes  Santiago Sanz-Estébanez  Joseph Hajnal  Lucilio Cordero-Grande  Carlos Alberola-López  

Institution:Centre for the Developing Brain and Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King’s College London,London U.K  ISR-Lisbon/LARSyS and Department of Bioengineering, Instituto Superior Técnico – 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:3629  

Room Live Q&A Session:

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

Author:Jing Cheng  Ziwen Ke  Haifeng Wang  Yanjie Zhu  Leslie Ying  Xin Liu  Hairong Zheng  Dong Liang  

Institution:Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  University at Buffalo, The State University of New York, Buffalo  

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:3634  

Room Live Q&A Session:

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

Author:Jinwei Zhang  Hang Zhang  Cagla Bahadir  Alan Wang  Mert Sabuncu  Pascal Spincemaille  Thanh Nguyen  Yi Wang  

Institution:Cornell University  Siemens Healthineers  Weill Cornell Medicine  

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:3635  

Room Live Q&A Session:

Locally and Globally Concatenated Network for MR Image Reconstruction

Author:Zechen Zhou  Christophe Schülke  Chun Yuan  Peter Börnert  

Institution:Philips Research Hamburg  Philips Research North America  University of Washington  

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:3636  

Room Live Q&A Session:

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: