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Accelerated MRI Thermometry with Multi-Echo Multi-Slice GRE

Author:Yuval Zur  Itzhak Pinhas  Boaz Shapira  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction I  

Program Number:0841  

Room Session:Exhibition Hall:S8 & S9  

Institution:Insightec Ltd  

Brain Tumor Segmentation Using3D CMM-Net withLimited and Accessible MR Images

Author:Yoonseok Choi  Mohammed Al-masni  Dong-Hyun Kim  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction I  

Program Number:0852  

Room Session:Exhibition Hall:S8 & S9  

Institution:Department of Electrical and Electronic Engineering, Yonsei University  

Deep generative MRI reconstruction for unsupervised Gibbs ringing correction

Author:Lucilio Cordero-Grande  Enrique Ortuño-Fisac  Jonathan O'Muircheartaigh  Jo Hajnal  María Jesús Ledesma-Carbayo  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction I  

Program Number:0846  

Room Session:Exhibition Hall:S8 & S9  

Institution:King's College London  Universidad Politécnica de Madrid & CIBER-BBN  

A deep learning based direct mapping method for EPI image reconstruction

Author:Changheun Oh  Sung Suk Oh  Jun-Young Chung  Yeji Han  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction I  

Program Number:0851  

Room Session:Exhibition Hall:S8 & S9  

Institution:Daegu Gyeongbuk Medical Innovation Foundation  Gachon University  

Deep Learning Reconstruction for FRONSAC

Author:Zhehong Zhang  Gigi Galiana  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction I  

Program Number:0848  

Room Session:Exhibition Hall:S8 & S9  

Institution:Yale University  

Deep Plug-and-Play multi-coil compressed sensing MRI with matched aliasing: the Denoising-P-VDAMP algorithm

Author:Charles Millard  Aaron Hess  Boris Mailhe  Jared Tanner  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction I  

Program Number:0844  

Room Session:Exhibition Hall:S8 & S9  

Institution:Siemens  University of Oxford  

Distortion Free Image Reconstruction using a Deep Neural Network for an MRI-Linac

Author:Shanshan Shan  Yang Gao  Paul Liu  Brendan Whelan  Hongfu Sun  Feng Liu  Paul Keall  David Waddington  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction I  

Program Number:0850  

Room Session:Exhibition Hall:S8 & S9  

Institution:University of Queensland  University of Sydney  Ingham Institute For Applied Medical Research  

Evaluation of Neural Network Reconstruction of Undersampled Data using a Human Observer Model of Signal Detection

Author:Joshua Herman  Marcus Wong  Sajan Lingala  Angel Pineda  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction I  

Program Number:0847  

Room Session:Exhibition Hall:S8 & S9  

Institution:Manhattan College  University of Iowa  

Explaining variation inDTI parameters with meningioma microscopy: A comparison between a neural network and an image-feature-based approach

Author:Jan Brabec  Magda Friedjungová  Daniel Vašata  Elisabet Englund  Linda Knutsson  Filip Szczepankiewicz  Pia C Sundgren  Markus Nilsson  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction I  

Program Number:0854  

Room Session:Exhibition Hall:S8 & S9  

Institution:Czech Technical University  Johns Hopkins University School of Medicine  Lund University  Lund University, Skåne University Hospital  Kennedy Krieger Institute  

Magnetic Resonance Spectroscopic Imaging Data Denoising by Manifold Learning: An Unsupervised Deep Learning Approach

Author:Amirmohammad Shamaei  Jana Starcuková  Radim Korínek  Zenon Starcuk Jr  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction I  

Program Number:0853  

Room Session:Exhibition Hall:S8 & S9  

Institution:Institute of Scientific Instruments of the Czech Academy of Sciences  Faculty of Electrical Engineering and Communication, Brno University of Technology  

Parallel Greedy Learning for Accelerating Cardiac Cine MRI

Author:Batu Ozturkler  Arda Sahiner  Tolga Ergen  Arjun Desai  Christopher Sandino  Shreyas Vasanawala  John Pauly  Morteza Mardani  Mert Pilanci  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction I  

Program Number:0845  

Room Session:Exhibition Hall:S8 & S9  

Institution:Stanford University  

Properties of 2D MR image reconstructions with deep neural networks at high acceleration rates

Author:Matthew Muckley  Tullie Murrell  Alireza Radmanesh  Florian Knoll  Zhengnan Huang  Anuroop Sriram  Daniel Sodickson  Yvonne Lui  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction I  

Program Number:0849  

Room Session:Exhibition Hall:S8 & S9  

Institution:Facebook AI Research  Friedrich-Alexander University Erlangen-Nuremberg  NYU School of Medicine  shaped.ai  

Systematic Standardization of Deep Learning Based Accelerated MRI Reconstruction Pipelines

Author:Beliz Gunel  Arjun Desai  Shreyas Vasanawala  Akshay Chaudhari  John Pauly  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction I  

Program Number:0843  

Room Session:Exhibition Hall:S8 & S9  

Institution:Stanford University  

An untrained deep learning method with model-based regularization for reconstructingdynamicMR images from retrospectively accelerated data

Author:Kalina Slavkova  Julie DiCarlo  Viraj Wadhwa  Thomas Yankeelov  Jonathan Tamir  

Session Type:Digital Poster  

Session Date:Monday, 09 May 2022  

Topic:Module 14: Image Reconstruction  

Session Name:Deep Learning Image Reconstruction I  

Program Number:0842  

Room Session:Exhibition Hall:S8 & S9  

Institution:The University of Texas at Austin