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Accelerated Magnetic Resonance Spectroscopy with Model-inspired Deep Learning

Author:Zi Wang  Yihui Huang  Zhangren Tu  Di Guo  Vladislav Orekhov  Xiaobo Qu  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1969  

Room Session:Concurrent 1  

Institution:University of Gothenburg  Xiamen University  Xiamen University of Technology  

Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation

Author:Tianming Du  Yuemeng Li  Honggang Zhang  Stephen Pickup  Rong Zhou  Hee Kwon Song  Yong Fan  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1968  

Room Session:Concurrent 1  

Institution:Beijing University of Posts and Telecommunications  University of Pennsylvania  

Adaptive deep image reconstruction using G-SURE

Author:Hemant Kumar Aggarwal  Mathews Jacob  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1960  

Room Session:Concurrent 1  

Institution:University of Iowa  

Alignment & joint recovery of multi-slice cine MRI data using deep generative manifold model

Author:Qing Zou  Abdul Ahmed  Prashant Nagpal  Rolf Schulte  Mathews Jacob  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1958  

Room Session:Concurrent 1  

Institution:GE Global Research  University of Iowa  

Anomaly-aware multi-contrast deep learning model for reduced gadolinium dose in contrast-enhanced brain MRI - a feasibility study

Author:Srivathsa Pasumarthi  Enhao Gong  Greg Zaharchuk  Tao Zhang  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0278  

Room Session:Concurrent 1  

Institution:Subtle Medical Inc.  

Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction

Author:Anish Lahiri  Guanhua Wang  Saiprasad Ravishankar  Jeffrey A. Fessler  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0279  

Room Session:Concurrent 1  

Institution:Michigan State University  University of Michigan  

Can Un-trained Networks Compete with Trained Ones for Accelerated MRI?

Author:Mohammad Zalbagi Darestani  Reinhard Heckel  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0271  

Room Session:Concurrent 1  

Institution:Rice University  Technical University of Munich  

Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction

Author:Eric Chen  Xiao Chen  Jingyuan Lyu  Qi Liu  Zhongqi Zhang  Yu Ding  Shuheng Zhang  Terrence Chen  Jian Xu  Shanhui Sun  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1971  

Room Session:Concurrent 1  

Institution:UIH America, Inc.  United Imaging Healthcare  United Imaging Intelligence  

Cascaded U-net with Deformable Convolution for Dynamic Magnetic Resonance Imaging

Author:Zhehong Zhang  Yuze Li  Huijun Chen  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1947  

Room Session:Concurrent 1  

Institution:Tsinghua University  

Compressed Sensing MRI Revisited: Optimizing $$$\ell_{1}$$$-Wavelet Reconstruction with Modern Data Science Tools

Author:Hongyi Gu  Burhaneddin Yaman  Kamil Ugurbil  Steen Moeller  Mehmet Akcakaya  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0274  

Room Session:Concurrent 1  

Institution:Center for Magnetic Resonance Research  University of Minnesota  

Compressed sensing MRI via a fusion model based on image and gradient priors

Author:Yuxiang Dai  Cheng yan Wang  He Wang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1980  

Room Session:Concurrent 1  

Institution:Fudan University  

A Custom Loss Function for Deep Learning-Based Brain MRI Reconstruction

Author:Abhinav Saksena  Makarand Parigi  Nicole Seiberlich  Yun Jiang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1951  

Room Session:Concurrent 1  

Institution:University of Michigan  

Deep image reconstruction for MRI usingunregisteredmeasurement pairs without ground truth

Author:Weijie Gan  Yu Sun  Cihat Eldeniz  Jiaming Liu  Hongyu An  Ulugbek Kamilov  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1959  

Room Session:Concurrent 1  

Institution:Washington University in St. Louis  

Deep Laplacian Pyramid Networks for Fast MRI Reconstruction with Multiscale T1 Priors

Author:Xiaoxin Li  Xinjie Lou  Junwei Yang  Yong Chen  Dinggang Shen  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1972  

Room Session:Concurrent 1  

Institution:Case Western Reserve University  ShanghaiTech University  University of Cambridge  Zhejiang University of Technology  Shanghai United Imaging Intelligence Co., Ltd.  

Deep Learning Image Reconstruction from Incomplete Fast Spin Echo MR Data

Author:Linfang Xiao  Yilong Liu  Yujiao Zhao  Zheyuan Yi  Vick Lau  Alex T.L. Leong  Ed Wu  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1963  

Room Session:Concurrent 1  

Institution:Department of Electrical and Electronic Engineering, Southern University of Science and Technology  Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong  Department of Electrical and Electronic Engineering, The University of Hong Kong  

Deep learning-based reconstruction of highly-accelerated 3D MRI MPRAGE images

Author:Sangtae Ahn  Uri Wollner  Graeme McKinnon  Rafi Brada  John Huston  J. DeMarco  Robert Shih  Joshua Trzasko  Dan Rettmann  Isabelle Heukensfeldt Jansen  Christopher Hardy  Thomas Foo  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1973  

Room Session:Concurrent 1  

Institution:GE Healthcare  GE Research  Mayo Clinic College of Medicine  Walter Reed National Military Medical Center  Uniformed Services University of the Health Sciences  

Deep Manifold Learning for Dynamic MR Imaging

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

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1945  

Room Session:Concurrent 1  

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

DL2 - Deep Learning + Dictionary Learning-based Regularization for Accelerated 2D Dynamic Cardiac MR Image Reconstruction

Author:Andreas Kofler  Tobias Schaeffter  Christoph Kolbitsch  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1970  

Room Session:Concurrent 1  

Institution:Physikalisch-Technische Bundesanstalt, Berlin and Braunschweig  King's College London  Technical University of Berlin  

DSLR+: Enhancing deep subspace learning reconstruction for high-dimensional MRI

Author:Christopher Sandino  Frank Ong  Ke Wang  Michael Lustig  Shreyas Vasanawala  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0277  

Room Session:Concurrent 1  

Institution:Stanford University  UC Berkeley  

Effective Training of 3D Unrolled Neural Networks on Small Databases

Author:Zilin Deng  Burhaneddin Yaman  Chi Zhang  Steen Moeller  Mehmet Akçakaya  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1954  

Room Session:Concurrent 1  

Institution:Center for Magnetic Resonance Research  University of Minnesota  

Enhanced Multi-Slice Partial Fourier MRI Reconstruction Using Residual Network

Author:Linshan Xie  Yilong Liu  Linfang Xiao  Peibei Cao  Alex Leong  Ed Wu  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1976  

Room Session:Concurrent 1  

Institution:Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong  Department of Electrical and Electronic Engineering, The University of Hong Kong  

eRAKI: Fast Robust Artificial neural networks for K-space Interpolation (RAKI) with Coil Combination and Joint Reconstruction

Author:Heng Yu  Zijing Dong  Yamin Arefeen  Congyu Liao  Kawin Setsompop  Berkin Bilgic  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0273  

Room Session:Concurrent 1  

Institution:Harvard Medical School  Massachusetts Institute of Technology  Stanford University  Tsinghua University  Athinoula A. Martinos Center for Biomedical Imaging  

Estimating Uncertainty in Deep Learning MRI Reconstruction using a Pixel Classification Image Reconstruction Framework

Author:Kamlesh Pawar  Gary Egan  Zhaolin Chen  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0276  

Room Session:Concurrent 1  

Institution:Monash University  

A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors

Author:Salman Ul Hassan Dar  Mahmut Yurt  Tolga Çukur  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1949  

Room Session:Concurrent 1  

Institution:Bilkent University  

Improved CNN-based Image reconstruction using regularly under-sampled signal obtained in phase scrambling Fourier transform imaging

Author:Satoshi ITO  Shun UEMATSU  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1974  

Room Session:Concurrent 1  

Institution:Utsunomiya University  

Influence of training data on RAKI reconstruction quality in standard 2D imaging

Author:Peter Dawood  Martin Blaimer  Peter Jakob  Johannes Oberberger  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1961  

Room Session:Concurrent 1  

Institution:Development Center X-ray Technology EZRT, Fraunhofer Institute for Integrated Circuits IIS  University Hospital Würzburg  University of Würzburg  

Joint deep learning-based optimization of undersampling pattern and reconstruction for dynamic contrast-enhanced MRI

Author:Jiaren Zou  Yue Cao  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1948  

Room Session:Concurrent 1  

Institution:University of Michigan  

Joint estimation of coil sensitivities and image content using a deep image prior

Author:Guanxiong Luo  Xiaoqing Wang  Volkert Roeloffs  Zhengguo Tan  Martin Uecker  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0280  

Room Session:Concurrent 1  

Institution:University Medical Center Göttingen, Germany  University of Göttingen, Germany  

Joint-ISTA-Net: A model-based deep learning network for multi-contrast CS-MRI reconstruction

Author:Yuan Lian  Xinyu Ye  Yajing Zhang  Hua Guo  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1977  

Room Session:Concurrent 1  

Institution:Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University  Philips Healthcare  

Kernel-based Fast EPTI Reconstruction with Neural Network

Author:Muheng Li  Jie Xiang  Fuyixue Wang  Zijing Dong  Kui Ying  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1981  

Room Session:Concurrent 1  

Institution:Massachusetts General Hospital  Tsinghua University  MIT  

Learning data consistency for MR dynamic imaging

Author:Jing Cheng  Wenqi Huang  Zhuoxu Cui  Ziwen Ke  Leslie Ying  Haifeng Wang  Yanjie Zhu  Dong Liang  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0272  

Room Session:Concurrent 1  

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

A lightweight and efficient convolutional neural network for MR image restoration

Author:Aowen Liu  Meiling Ji  Xiaoqian Huang  Yawei Zhao  Renkuan Zhai  Guobin Li  Dinggang Shen  Shu Liao  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1952  

Room Session:Concurrent 1  

Institution:United Imaging Healthcare  United Imaging Intelligence  

Memory-Efficient Learning for High-Dimensional MR Reconstruction

Author:Ke Wang  Michael Kellman  Christopher Sandino  Kevin Zhang  Shreyas Vasanawala  Jonathan Tamir  Stella Yu  Michael Lustig  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1955  

Room Session:Concurrent 1  

Institution:Stanford University  The University of Texas at Austin  University of California, Berkeley  University of California, San Francisco  

A Modified Generative Adversarial Network using Spatial and Channel-wise Attention for Compressed Sensing MRI Reconstruction

Author:Guangyuan Li  Chengyan Wang  Weibo Chen  Jun Lyu  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1979  

Room Session:Concurrent 1  

Institution:Fudan University  Philips Healthcare  Yantai University  

Multi-Mask Self-Supervised Deep Learning for Highly Accelerated Physics-Guided MRI Reconstruction

Author:Burhaneddin Yaman  Seyed Amir Hossein Hosseini  Steen Moeller  Jutta Ellermann  Kâmil Ugurbil  Mehmet Akçakaya  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1966  

Room Session:Concurrent 1  

Institution:Center for Magnetic Resonance Research  University of Minnesota  

Non-uniform Fast Fourier Transform via Deep Learning

Author:Yuze Li  Zhangxuan Hu  Haikun Qi  Guangqi Li  Dongyue Si  Haiyan Ding  Hua Guo  Huijun Chen  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1962  

Room Session:Concurrent 1  

Institution:GE Healthcare  King’s College London  Tsinghua University  

Novel insights on SSA-FARY: Amplitude-based respiratory binning in self-gated cardiac MRI

Author:Sebastian Rosenzweig  Martin Uecker  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1956  

Room Session:Concurrent 1  

Institution:University Medical Center Göttingen  German Centre for Cardiovascular Research (DZHK)  

PIC-GAN: A Parallel Imaging Coupled Generative Adversarial Network for Accelerated Multi-Channel MRI Reconstruction

Author:Jun Lyu  Chengyan Wang  Guang Yang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1967  

Room Session:Concurrent 1  

Institution:Fudan University  Royal Brompton Hospital  Yantai University  Imperial College London  

A Plug-and-play Low-rank Network Modulein Dynamic MR Imaging

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

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1946  

Room Session:Concurrent 1  

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

Progressive Volumetrization for Data-Efficient Image Recovery in Accelerated Multi-Contrast MRI

Author:Mahmut Yurt  Muzaffer Ozbey  Salman Ul Hassan Dar  Berk Tinaz  Kader Oguz  Tolga Çukur  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1975  

Room Session:Concurrent 1  

Institution:Bilkent University  Hacettepe University  University of Southern California  

Reconstruction of Whole-Heart Cardiac Radial MRI using Neural Network Transfer Learning Approach

Author:Ibtisam Aslam  Fariha Aamir  Lindsey CROWE  Miklos KASSAI  Hammad Omer  Jean-Paul VALLEE  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1957  

Room Session:Concurrent 1  

Institution:COMSATS University Islamabad  University of Geneva  

Scalable and Interpretable Neural MRI Reconstruction via Layer-Wise Training

Author:Batu Ozturkler  Arda Sahiner  Mert Pilanci  Shreyas Vasanawala  John Pauly  Morteza Mardani  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1953  

Room Session:Concurrent 1  

Institution:Stanford University  

Training- and Database-free Deep Non-Linear Inversion (DNLINV) for Highly Accelerated Parallel Imaging and Calibrationless PI&CS MR Imaging

Author:Andrew Leynes  Peder Larson  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1978  

Room Session:Concurrent 1  

Institution:University of California San Francisco  UC Berkeley - UC San Francisco Joint Graduate Program in Bioengineering  

Unsupervised Dynamic Image Reconstruction using Deep Generative Adversarial Networks and Total Variation Smoothing

Author:Elizabeth Cole  Shreyas Vasanawala  John Pauly  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1944  

Room Session:Concurrent 1  

Institution:Stanford University  

Using Untrained Convolutional Neural Networks to Accelerate MRI in 2D and 3D

Author:Dave Van Veen  Arjun Desai  Reinhard Heckel  Akshay Chaudhari  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1964  

Room Session:Concurrent 1  

Institution:Rice University  Stanford University  Technical University of Munich  University of Texas at Austin  

Wave-Encoded Model-Based Deep Learning withJoint Reconstruction and Segmentation

Author:Jaejin Cho  Qiyuan Tian  Robert Frost  Itthi Chatnuntawech  Berkin Bilgic  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1982  

Room Session:Concurrent 1  

Institution:Athinoula A. Martinos Center for Biomedical Imaging  National Nanotechnology Center  Havard Medical School  Harvard/MIT Health Sciences and Technology  

Weakly Supervised MR Image Reconstruction usingUntrained Neural Networks

Author:Beliz Gunel  Morteza Mardani  Akshay Chaudhari  Shreyas Vasanawala  John Pauly  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1950  

Room Session:Concurrent 1  

Institution:Stanford University  

XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge

Author:Zaccharie Ramzi  Jean-Luc Starck  Philippe Ciuciu  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0275  

Room Session:Concurrent 1  

Institution:CEA  Neurospin  Inria Saclay  

Zero-shot Learning for Unsupervised Reconstruction of Accelerated MRI Acquisitions

Author:Yilmaz Korkmaz  Salman Dar  Mahmut Yurt  Tolga Çukur  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1965  

Room Session:Concurrent 1  

Institution:Bilkent University