Browse All

Current Filters

CLEAR FILTER x

TITLE

Session Type:

A Deep Learning Approach to QSM Background Field Removal: Simulating Realistic Training Data Using a Reference Scan Ground Truth and Deformations

Author:Oriana Arsenov  Karin Shmueli  Anita Karsa  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Current Trends in MRI Contrast Mechanisms  

Session Name:Contrast Mechanisms: Miscellaneous  

Program Number:1839  

Room Session:Concurrent 3  

Institution:University College London  

Deep Learning Automation for Human Brain Masking of Multi-Band MR Elastography

Deep Learning based Automatic Multi-Regional Segmentation of the Aorta form 4D Flow MRI

Deep learning based denoising for high b-value high resolution diffusion imaging

Deep Learning Based ESPIRiT Reconstruction for Highly Accelerated 2D Phase Contrast MRI

Deep learning based high resolution IVIM parameter mappingin lacunar infarction patients

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

Deep Learning based spine labeling with three-plane 2D localizers without vertebrae segmentation

Deep Learning Based Super-resolution of Diffusion MRI Data

Author:Zifei Liang  Jiangyang Zhang  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Diffusion Acquisition & Post-Processing  

Session Name:Diffusion Acquisition & Post-Processing  

Program Number:1348  

Room Session:Concurrent 6  

Institution:New York University School of Medicine  

Deep learning based synthetic CT skull for transcranial MRgFUS interventions using 3D V-net–Transfer learning implications

Deep Learning Denoising to Accelerate Diffusion-Weighted Imaging of Rectal Cancer

Deep Learning Enables 60% Accelerated Volumetric Brain MRI While Preserving Quantitative Performance – A Prospective, Multicenter Trial

Deep Learning Enhanced T1 Mapping and Reconstruction Framework with Spatial-temporal and Physical Constraint

Deep learning for fast 3D low field MRI

Deep learning for synthesizing apparent diffusion coefficient maps of the prostate: A tentative study based on generative adversarial networks

Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Artificial Functional MRI Data

Deep Learning Improves Detection of Anterior Cruciate Ligament- and Meniscus Tear Detection in Knee MRI

Deep learning improves retrospective free-breathing 4D-ZTE thoracic imaging: Initial experience

Author:Dorottya Papp  Jose Castillo T.  Piotr Wielopolski  Pierluigi Ciet  Gyula Kotek  Jifke Veenland  Juan Hernandez-Tamames  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Lung  

Session Name:Lung: Methods  

Program Number:3225  

Room Session:Concurrent 5  

Institution:Erasmus Medical Center  

A Deep Learning Method for Connectome Reconstruction Using Clinical MRI Protocols

Deep Learning of ADC Maps from Under-sampled Diffusion-Weighted Radially Sampled MRI

Deep learning prediction for clear cell renal carcinoma cancer compared with human and radiomics analysis

Author:Junyu Guo  Lauren Hinojosa  Yin Xi  Keith Husley  Ivan Pedrosa  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Cancer: Contrast Agents & MRS  

Session Name:Cancer: Clinical  

Program Number:0945  

Room Session:Concurrent 2  

Institution:UT Southwestern Medical Center  

Deep learning prediction of retrieved stroke thrombus RBC content using quantitative, multiparametric MRI

Deep learning reconstruction enables highly accelerated T2 weighted prostate MRI

Author:Patricia Johnson  Angela Tong  Paul Smereka  Awani Donthireddy  Robert Petrocelli  Hersh Chandarana  Florian Knoll  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4122  

Room Session:Concurrent 5  

Institution:New York University School of Medicine  

Deep Learning Reconstruction for DWI with b Values < 5000s/mm2: Improvement of Image Quality and Diagnostic Performance for Prostatic Cancer

Deep learning reconstruction including de-streaking capability for motion-robust T1-weighted breast imaging

Deep Learning Reconstruction of 3D Zero Echo Time Magnetic Resonance Images for the Creation of 3D Printed Anatomic Models

Deep Learning Reconstruction of MR Fingerprinting for simultaneous T1, T2* mapping and generation of WM, GM and WM lesion probability maps

Deep learning super-resolution MR spectroscopic imaging to map tumor metabolism in mutant IDH glioma patients

Deep Learning Using Synthetic Data for Signal Denoising and Spectral Fitting in Deuterium Metabolic Imaging

Deep learning-based Cerebral Microbleeds detection on quantitative susceptibility mapping(QSM) for Stroke Cohort

Deep Learning-Based ESPIRiT Reconstruction for Accelerated 2D Phase Contrast MRI: Analysis of the Impactof Reconstruction Induced Phase Errors

Deep Learning-based image reconstruction improves CEST MRI

Deep Learning-Based Liver Fat and R2* Mapping with Uncertainty Estimation using Self-Gated Free-Breathing Stack-of-Radial MRI

Deep Learning-Based Needle Tracking Trained on Bloch-Simulated Data and Evaluated on Clinical Real-Time bSSFP Images

Deep learning-based reconstruction for 3D coronary MR angiography with a 3D variational neural network (3D-VNN)

Deep Learning-Based Respiratory Navigator Echo (DLnav) for Robust Free-Breathing Abdominal MRI

Author:Yuji Iwadate  Atsushi Nozaki  Shigeo Okuda  Tetsuya Wakayama  Masahiro Jinzaki  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Motion Correction Strategies  

Session Name:Motion: Methods  

Program Number:1356  

Room Session:Concurrent 1  

Institution:GE Healthcare Japan  Keio University School of Medicine  

Deep Learning-Based Rigid-Body Motion Correction in MRI using Multichannel Data

Author:Miriam Hewlett  Ivailo Petrov  Maria Drangova  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Motion Correction Strategies  

Session Name:Motion: Methods  

Program Number:1357  

Room Session:Concurrent 1  

Institution:Robarts Research Institute  Western University