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

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

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

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