Browse All

Current Filters

CLEAR FILTER x

TITLE

Adapting the U-net for Multi-coil MRI Reconstruction

Author:Makarand Parigi  Abhinav Saksena  Nicole Seiberlich  Yun Jiang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1749  

Room Session:Concurrent 1  

Institution:University of Michigan  

AutoSON: Automated Sequence Optimization by joint training with a Neural network

Author:Hongjun An  Dongmyung Shin  Hyeong-Geol Shin  Woojin Jung  Jongho Lee  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1762  

Room Session:Concurrent 1  

Institution:Seoul National University  

Deep J-Sense: An unrolled network for jointly estimating the image and sensitivity maps

Author:Marius Arvinte  Sriram Vishwanath  Ahmed Tewfik  Jonathan Tamir  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1755  

Room Session:Concurrent 1  

Institution:The University of Texas at Austin  

Deep Learning Based Joint MR Image Reconstruction and Under-sampling Pattern Optimization

Author:Vihang Agarwal  Yue Cao  James Balter  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1763  

Room Session:Concurrent 1  

Institution:University of Michigan  

Deep Low-rank plus Sparse Network for Dynamic MR Imaging

Author:Wenqi Huang  Ziwen Ke  Zhuo-Xu Cui  Jing Cheng  Zhilang Qiu  Sen Jia  Yanjie Zhu  Dong Liang  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:0225  

Room Session:Concurrent 1  

Institution:Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences  

Deep, Deep Learning with BART

Author:Moritz Blumenthal  Martin Uecker  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1754  

Room Session:Concurrent 1  

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

A Deep-Learning Framework for Image Reconstruction of Undersampled and Motion-Corrupted k-space Data

Author:Nalini Singh  Juan Iglesias  Elfar Adalsteinsson  Adrian Dalca  Polina Golland  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1758  

Room Session:Concurrent 1  

Institution:Massachusetts Institute of Technology  Massachusetts General Hospital  University College London  

DeepSlider: Deep learning-powered gSlider for improved robustness and performance

Author:Juhyung Park  Dongmyung Shin  Hyeong-Geol Shin  Jiye Kim  Jongho Lee  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1759  

Room Session:Concurrent 1  

Institution:Seoul National University  

Design of slice-selective RF pulses using deep learning

Author:Felix Krüger  Max Lutz  Christoph Aigner  Sebastian Schmitter  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:0230  

Room Session:Concurrent 1  

Institution:Physikalisch-Technische Bundesanstalt  

Going beyond the image space: undersampled MRI reconstruction directly in the k-space using a complex valued residual neural network

Author:Soumick Chatterjee  Chompunuch Sarasaen  Alessandro Sciarra  Mario Breitkopf  Steffen Oeltze-Jafra  Andreas Nürnberger  Oliver Speck  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1757  

Room Session:Concurrent 1  

Institution:Medical Faculty, University Hopspital  Otto von Guericke University  German Centre for Neurodegenerative Diseases  Center for Behavioral Brain Sciences  Leibniz Institute for Neurobiology  

Intelligent Incorporation of AI with Model Constraints for MRI Acceleration

Author:Renkuan Zhai  Xiaoqian Huang  Yawei Zhao  Meiling Ji  Xuyang Lv  Mengyao Qian  Shu Liao  Guobin Li  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1760  

Room Session:Concurrent 1  

Institution:United Imaging Healthcare  United Imaging Intelligence  

Joint Data Driven Optimization of MRI Data Sampling and Reconstruction via Variational Information Maximization

Author:Cagan Alkan  Morteza Mardani  Shreyas Vasanawala  John Pauly  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:0229  

Room Session:Concurrent 1  

Institution:Stanford University  

Joint Reconstruction of MR Image and Coil Sensitivity Maps using Deep Model-based Network

Author:Yohan Jun  Hyungseob Shin  Taejoon Eo  Dosik Hwang  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:0226  

Room Session:Concurrent 1  

Institution:Yonsei University  

MAGnitude Image to Complex (MAGIC)-Net: reconstructing multi-coil complex images with pre-trained network using synthesized raw data

Author:Fanwen Wang  Hui Zhang  Jiawei Han  Fei Dai  Yuxiang Dai  Weibo Chen  Chengyan Wang  He Wang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1753  

Room Session:Concurrent 1  

Institution:Human Phenome Institute, Fudan University  Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University  Philips Healthcare  

Motion-resolved B1+ prediction using deep learning for real-time pTx pulse-design.

Author:Alix Plumley  Luke Watkins  Kevin Murphy  Emre Kopanoglu  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:0223  

Room Session:Concurrent 1  

Institution:Cardiff University Brain Research Imaging Centre  

MRzero sequence generation using analytic signal equations as forward model and neural network reconstruction for efficient auto-encoding

Author:Simon Weinmüller  Hoai Nam Dang  Alexander Loktyushin  Felix Glang  Arnd Doerfler  Andreas Maier  Bernhard Schölkopf  Klaus Scheffler  Moritz Zaiss  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1761  

Room Session:Concurrent 1  

Institution:Empirical Inference  Friedrich-Alexander Universität Erlangen-Nürnberg (FAU)  Magnetic Resonance Center  Pattern Recognition Lab Friedrich-Alexander-University Erlangen-Nürnberg  Eberhard Karls University Tübingen  

Multi-channel and multi-group-based CNN Image Reconstruction using Equal-sized Multi-resolution Image Decomposition

Author:Shohei Ouchi  Satoshi ITO  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1750  

Room Session:Concurrent 1  

Institution:Utsunomiya University  

On Instabilities of Conventional Multi-Coil MRI Reconstruction To Small Adversarial Perturbations

Author:Chi Zhang  Jinghan Jia  Burhaneddin Yaman  Steen Moeller  Sijia Liu  Mingyi Hong  Mehmet Akçakaya  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:0221  

Room Session:Concurrent 1  

Institution:IBM Research  University of Florida  University of Minnesota  

PCA and U-Net based Channel Compression for Fast MR Image Reconstruction

Author:Madiha Arshad  Mahmood Qureshi  Omair Inam  Hammad Omer  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1752  

Room Session:Concurrent 1  

Institution:COMSATS University  

Rethinking complex image reconstruction: ?-loss for improved complex image reconstruction with deep learning

Author:Maarten Terpstra  Matteo Maspero  Jan Lagendijk  Cornelis van den Berg  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1751  

Room Session:Concurrent 1  

Institution:University Medical Center Utrecht  

Robust Multi-shot EPI with Untrained Artificial Neural Networks: Unsupervised Scan-specific Deep Learning for Blip Up-Down Acquisition (BUDA)

Author:Tae Hyung Kim  Zijing Zhang  Jaejin Cho  Borjan Gagoski  Justin Haldar  Berkin Bilgic  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:0224  

Room Session:Concurrent 1  

Institution:Athinoula A. Martinos Center for Biomedical Imaging  Boston Children's Hospital  University of Southern California  Harvard Medical School  Zhejiang University  

Subtle Inverse Crimes: Naively using Publicly Available Images Could Make Reconstruction Results Seem Misleadingly Better!

Author:Efrat Shimron  Jonathan Tamir  Ke Wang  Michael Lustig  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:0222  

Room Session:Concurrent 1  

Institution:The University of Texas at Austin  UC Berkeley  

Ungated time-resolved cardiac MRI with temporal subspace constraint using SSA-FARY SE

Author:Sebastian Rosenzweig  Martin Uecker  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:0227  

Room Session:Concurrent 1  

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

A unified model for simultaneous reconstruction and R2* mapping of accelerated 7T data using the Recurrent Inference Machine

Author:Chaoping Zhang  Dirk Poot  Bram Coolen  Hugo Vrenken  Pierre-Louis Bazin  Birte Forstmann  Matthan Caan  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:0228  

Room Session:Concurrent 1  

Institution:Amsterdam UMC  Erasmus MC  University of Amsterdam  Max Planck Institute for Human Cognitive and Brain Sciences  

Using data-driven image priors for image reconstruction with BART

Author:Guanxiong Luo  Moritz Blumenthal  Martin Uecker  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning for Data Acquisition & Image Reconstruction  

Program Number:1756  

Room Session:Concurrent 1  

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