Attention-Gated Convolutional Neural Networks for Off-Resonance Correction of Spiral Real-Time Magnetic Resonance Imaging

Author:Yongwan Lim  Shrikanth Narayanan  Krishna Nayak  

Institution:University of Southern California  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning Reconstruction of Dynamic Acquisitions  

Program Number:1005  

Room Live Q&A Session:Wednesday Parallel 5  

CINENet: Deep learning-based 3D Cardiac CINE Reconstruction with multi-coil complex 4D Spatio-Temporal Convolutions

Deep Learning for Robust Accelerated Dynamic MRI Reconstruction for Active Acquisition Pipelines

Deep Model-based MR Parameter Mapping Network (DOPAMINE) for Fast MR Reconstruction

Author:Yohan Jun  Hyungseob Shin  Taejoon Eo  Taeseong Kim  Dosik Hwang  

Institution:Yonsei University  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0988  

Room Live Q&A Session:Wednesday Parallel 5  

DYNAMIC MRI USING DEEP MANIFOLD SELF-LEARNING

Author:Abdul Haseeb Ahmed  Hemant Aggarwal  Prashant Nagpal  Mathews Jacob  

Institution:University of Iowa  

Session Type:Oral  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning Reconstruction of Dynamic Acquisitions  

Program Number:1002  

Room Live Q&A Session:Wednesday Parallel 5  

Dynamic Real-time MRI with Deep Convolutional Recurrent Neural Networks and Non-Cartesian Fidelity

FITs-CNN: A Very Deep Cascaded Convolutional Neural Networks Using Folded Image Training Strategy for Abdominal MRI Reconstruction

Hands-On Deep Learning

Author:Peter Chang  

Institution:University of California, Irvine  

Session Type:Weekday Course  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Machine Learning for Image Reconstruction  

Session Name:Hands-On Deep Learning  

Program Number:

Room Live Q&A Session:Wednesday Parallel 5  

    Hands-On Deep Learning (Supporting Presenter)

    Author:Hemant Kumar Aggarwal  

    Institution:University of Iowa  

    Session Type:Weekday Course  

    Session Live Q&A Date:Wednesday, 12 August 2020  

    Topic:Machine Learning for Image Reconstruction  

    Session Name:Hands-On Deep Learning  

    Program Number:

    Room Live Q&A Session:Wednesday Parallel 5  

      Hands-On Deep Learning (Supporting Presenter)

      Author:Chen Qin  

      Institution:Imperial College London  

      Session Type:Weekday Course  

      Session Live Q&A Date:Wednesday, 12 August 2020  

      Topic:Machine Learning for Image Reconstruction  

      Session Name:Hands-On Deep Learning  

      Program Number:

      Room Live Q&A Session:Wednesday Parallel 5  

        Hands-On Deep Learning (Supporting Presenter)

        Author:Matthew Muckley  

        Institution:New York University School of Medicine  

        Session Type:Weekday Course  

        Session Live Q&A Date:Wednesday, 12 August 2020  

        Topic:Machine Learning for Image Reconstruction  

        Session Name:Hands-On Deep Learning  

        Program Number:

        Room Live Q&A Session:Wednesday Parallel 5  

          High-Fidelity Reconstruction with Instance-wise Discriminative Feature Matching Loss

          k-t SANTIS: Subspace Augmented Neural neTwork with Incoherent Sampling for dynamic image reconstruction

          A Model-Based Variational Neural Network for Accelerated and Respiratory Motion-resolved 4D Cartesian Cardiac MRI

          MRI Reconstruction Using Deep Bayesian Inference

          Author:Guanxiong Luo  Peng Cao  

          Institution:The University of Hong Kong  

          Session Type:Oral  

          Session Live Q&A Date:Wednesday, 12 August 2020  

          Topic:Machine Learning for Image Reconstruction  

          Session Name:Machine Learning for Image Reconstruction  

          Program Number:0996  

          Room Live Q&A Session:Wednesday Parallel 5  

          Physics-Based Self-Supervised Deep Learning for Accelerated MRI Without Fully Sampled Reference Data

          RED-N2N: Image reconstruction for MRI using deep CNN priors trained without ground truth

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

          Institution:Washington University in St. Louis  

          Session Type:Oral  

          Session Live Q&A Date:Wednesday, 12 August 2020  

          Topic:Machine Learning for Image Reconstruction  

          Session Name:Machine Learning for Image Reconstruction  

          Program Number:0993  

          Room Live Q&A Session:Wednesday Parallel 5  

          A spatially adaptive cross-modality based three-dimensional reconstruction network for susceptibility imaging

          Author:Lijun Bao  Hongyuan Zhang  

          Institution:Xiamen University  

          Session Type:Oral  

          Session Live Q&A Date:Wednesday, 12 August 2020  

          Topic:Machine Learning for Image Reconstruction  

          Session Name:Machine Learning for Image Reconstruction  

          Program Number:0995  

          Room Live Q&A Session:Wednesday Parallel 5  

          Synchronizing dimension reduction and parameter inference in 3D multiparametric MRI: A hybrid dual-pathway neural network approach

          Unrolled Physics-Based Deep Learning MRI Reconstruction with Dense Connections using Nesterov Acceleration

          An Unsupervised Deep Learning Method for Parallel MR Cardiac Imaging via Time Interleaved Sampling

          Wasserstein GANs for MR Imaging: from Paired to Unpaired Training

          Author:Ke Lei  Morteza Mardani  Shreyas Vasanawala  John Pauly  

          Institution:Stanford University  

          Session Type:Oral  

          Session Live Q&A Date:Wednesday, 12 August 2020  

          Topic:Machine Learning for Image Reconstruction  

          Session Name:Machine Learning for Image Reconstruction  

          Program Number:0992  

          Room Live Q&A Session:Wednesday Parallel 5  

          S-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction