Browse All

Current Filters

CLEAR FILTER x

TITLE

Author:

Deep image reconstruction for MRI usingunregisteredmeasurement pairs without ground truth

Deep Image Synthesis for Extraction of Vascular and Gray Matter Metrics

Deep Inspiration Breath-Hold Radiotherapy does not induce MRI detectable LV functional and structural changes in patients with left-sided breast cancer – A six months follow-up

Deep Inspiration Breath-Hold Radiotherapy does not induce MRI detectable LV functional and structural changes in patients with left-sided breast cancer – A six months follow-up

A Deep k-means Based Tissue Extraction from Reconstructed Human Brain MR Image

Author:Madiha Arshad  Mahmood Qureshi  Omair Inam  Hammad Omer  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2398  

Room Session:Concurrent 1  

Institution:COMSATS University  

Deep Learner estimated isotropic volume fraction enables reliable single-shell NODDI reconstruction

Deep Learning 3D Convolutional Neural Network for Noninvasive Evaluation of Pathologic Grade of HCC Using Contrast-enhanced MRI

Deep Learning Algorithms May Aid In The Evaluation Of Cine Images In Patients With Atrial Arrhythmia – A Case Series

A Deep Learning Approach for Robust Segmentation of Livers with High Iron Content from MR Images of Pediatric Patients

A deep learning approach to estimate voxelwise cardiac-related brain pulsatility from BOLD MRI

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 acceleration of multi-contrast MRI examinations by acquiring contrast and sharing inter-contrast structure information

Author:Sudhanya Chatterjee  Suresh Joel  Sajith Rajamani  Shaik Ahmed  Uday Patil  Ramesh Venkatesan  Dattesh Shanbhag  

Session Type:Oral  

Session Date:Monday, 17 May 2021  

Topic:Novel & Multicontrast Approaches  

Session Name:Novel & Multicontrast Approaches  

Program Number:0090  

Room Session:Concurrent 4  

Institution:GE Healthcare  

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 fully automatic analysis of gastric motility from contrasty-enhanced MRI

Author:Xiaokai Wang  Jiayue Cao  Minkyu Choi  Zhongming Liu  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Digestive, Diabetes & Pancreas  

Session Name:Digestive, Diabetes & Pancreas  

Program Number:0252  

Room Session:Concurrent 5  

Institution:University of Michigan  

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

Deep Learning Based Segmentation and Fat Fraction Assessment of the Calf in Diabetic Subjects and Non-Diabetic Controls

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

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 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 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