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Are deep learning MR reconstruction models robust against adversarial attacks?

Assessment of the Generalization of Learned Unsupervised Deep Learning Method

Attention Based Scale Recurrent Network for Under-Sampled MRI Reconstruction

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:

Calgary-Campinas raw k-space dataset: a benchmark for brain magnetic resonance image reconstruction

Author:Roberto Souza  M Lauzon  Marina Salluzzi  Letícia Rittner  Richard Frayne  

Institution:University of Calgary  University of Campinas  

Session Type:Digital Poster  

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

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 1  

Program Number:3597  

Room Live Q&A Session:

Calibrationless SENSE Reconstruction with Deep Coil Sensitivity Learning

Deep Dixon: Deep learning-based chemical-shift corrected water-fat separation with only simulated training data

Author:Frank Zijlstra  Peter Seevinck  

Institution:UMC Utrecht  

Session Type:Digital Poster  

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

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 1  

Program Number:3586  

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 Learning to Produce Realistic MR Images through Fréchet Inception Distance Monitoring

Deep Learning-Based Adaptive Noise Reduction for Improving Image Quality of 1.5T MR Images

Deep learning-based referenceless distortion correction for single-shot non-Cartesian spatiotemporally encoded MRI

Author:Wei Wang  Jian Wu  Qinqin Yang  Jian Han  Congbo Cai  Shuhui Cai  Zhong Chen  

Institution:Xiamen 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 2  

Program Number:3600  

Room Live Q&A Session:

A deep network for reconstruction of undersampled fast-spin-echo MR images with suppressed fine-line artifact

Author:Sangtae Ahn  Anne Menini  Christopher Hardy  

Institution:GE Global Research  GE Healthcare  

Session Type:Digital Poster  

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

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 1  

Program Number:3594  

Room Live Q&A Session:

Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction

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:

Deep Simultaneous Optimization of Sampling and Reconstruction for Multi-contrast MRI

Author:Xinwen Liu  Jing Wang  Fangfang Tang  Shekhar Chandra  Feng Liu  Stuart Crozier  

Institution:The University of Queensland  Griffith 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 3  

Program Number:3619  

Room Live Q&A Session:

Deep-learning based motion correction for brain conductivity reconstruction

Author:Jan Hendrik Wuelbern  Ulrich Katscher  Karsten Sommer  Axel Saalbach  Jalal Andre  

Institution:Philips Research Europe  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 1  

Program Number:3596  

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

Derivation of quantitative T1 map from a single MR image using a self-attention deep neural network

Author:Yan Wu  Yajun Ma  Jiang Du  Lei Xing  

Institution:Stanford University  University of California San Diego  

Session Type:Digital Poster  

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

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 3  

Program Number:3628  

Room Live Q&A Session:

A direct MR image reconstruction from k-space via End-To-End reconstruction network using recurrent neural network (ETER-net)

Author:Changheun Oh  Yeji Han  HyunWook Park  

Institution:Gachon University  Korea Advanced Institute of Science and Technology  

Session Type:Digital Poster  

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

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 1  

Program Number:3593  

Room Live Q&A Session:

Efficient Phase-varied Image Reconstruction using Single Deep Convolutional Neural Network without Estimation of Phase Distribution.

Author:Shohei OUCHI  Satoshi ITO  

Institution:Utsunomiya 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 2  

Program Number:3608  

Room Live Q&A Session:

End-to-End Deep Learning Reconstruction for Ultra-Short MRF

Exploiting Coarse-Scale Image Features for Transfer Learning in Accelerated Magnetic Resonance Imaging

Author:Ukash Nakarmi  Joseph Cheng  Edgar Rios  Morteza Mardani  John Pauly  Shreyas Vasanawala  

Institution:Stanford 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 1  

Program Number:3595  

Room Live Q&A Session:

A Further Analysis of Deep Instability in Image Reconstruction

Author:Yue Guan  Yudu Li  Yao Li  Yiping Du  Zhi-Pei Liang  

Institution:Shanghai Jiao Tong University  University of Illinois at Urbana-Champaign  

Session Type:Digital Poster  

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

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 1  

Program Number:3592  

Room Live Q&A Session:

ISTA-nets: enhancing the performance of the unrolled deep networks for fast MR imaging

Joint Optimization of Sampling Patterns and Deep Priors for Improved Parallel MRI

Author:Hemant Kumar Aggarwal  Mathews Jacob  

Institution:University of Iowa  

Session Type:Digital Poster  

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

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 1  

Program Number:3587  

Room Live Q&A Session:

k-t CNN for Modeling Spatio-temporal Mappings and an Application to Reconstruction of k-space Data with Stack-of-spirals Trajectory

Author:Hidenori Takeshima  Hideaki Kutsuna  

Institution:Canon Medical Systems Corporation  

Session Type:Digital Poster  

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

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 3  

Program Number:3623  

Room Live Q&A Session:

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

Model-augmented deep learning for VFA-T1 mapping

Author:Lea Bogensperger  Oliver Maier  Rudolf Stollberger  

Institution:Graz University of Technology  Biotechmed  

Session Type:Digital Poster  

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

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 2  

Program Number:3614  

Room Live Q&A Session:

Model-Free Deep MRI Reconstruction: A Robustness Study

Author:Gopal Nataraj  Ricardo Otazo  

Institution:Memorial Sloan Kettering Cancer Center  

Session Type:Digital Poster  

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

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 1  

Program Number:3590  

Room Live Q&A Session:

Multi-objective Deep Learning for Joint Estimation and Detection Tasks in MRI

Author:Zhiyang Fu  Maria Altbach  Diego Martin  Ali Bilgin  

Institution:University of Arizona  

Session Type:Digital Poster  

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

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 3  

Program Number:3618  

Room Live Q&A Session:

ODE-based Deep Network for MRI Reconstruction

Author:Ali Pour Yazdanpanah  Onur Afacan  Simon Warfield  

Institution:Harvard Medical School  Boston Children's Hospital  

Session Type:Digital Poster  

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

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 2  

Program Number:3603  

Room Live Q&A Session:

Parallel Imaging with a Combination of SENSE and Generative Adversarial Networks (GAN)

Author:Jun Lyu  Peng Wang  Chengyan Wang  

Institution:Fudan University  Yantai 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 2  

Program Number:3611  

Room Live Q&A Session:

A Parameter-free Plug-and-Play Method for Accelerated MRI Reconstruction

Author:Sizhuo Liu  Ning Jin  Philip Schniter  Rizwan Ahmad  

Institution:Ohio State University  Siemens Medical Solutions Inc  

Session Type:Digital Poster  

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

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 2  

Program Number:3607  

Room Live Q&A Session:

Partial Fourier MRI Reconstruction Using Convolutional Neural Networks

Author:Peibei Cao  Linfang Xiao  Yilong Liu  Yujiao Zhao  Yanqiu Feng  Alex T Leong  Ed X Wu  

Institution:Southern Medical University  The University of Hong Kong  

Session Type:Digital Poster  

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

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 3  

Program Number:3627  

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:

Quantitative characterization of image reconstruction training dataset complexity with Rademacher Complexity measures

Rapid Region-of-Interest MRI Reconstruction Using Context-Aware Non-Local U-Net

Author:Xinwen Liu  Jing Wang  Fangfang Tang  Hongfu Sun  Feng Liu  Stuart Crozier  

Institution:The University of Queensland  Griffith 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 2  

Program Number:3601  

Room Live Q&A Session:

Real-Time Cardiac Cine MRI with Residual Convolutional Recurrent Neural Network

Author:Eric Chen  Xiao Chen  Jingyuan Lv  Yuan Zheng  Terrence Chen  Jian Xu  Shanhui Sun  

Institution:UIH America, Inc.  United Imaging Intelligence  

Session Type:Digital Poster  

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

Topic:ML: Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction 1  

Program Number:3588  

Room Live Q&A Session:

Reconstructing non-Cartesian acquisitions using dAUTOMAP