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

Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction

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:

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:

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

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:

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:

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:

Reconstructing non-Cartesian acquisitions using dAUTOMAP

Relax-ADMM-Net: A Relaxed ADMM Network for Compressed Sensing MRI

Simultaneous Brain Anatomical and Arterial Imaging by 3T MRI: Reconstruction Based on a Generative Adversarial Network

Unsupervised Deep Learning Reconstruction Using the MR Imaging Model