Automated assessment of longitudinal White Matter Hyperintensities changes using a novel convolutional neural network in CADASIL

Automatic extraction of reproducible semi-quantitative histological metrics for MRI-histology correlations

Bias correction for PET/MR attenuation correction using generative adversarial networks

Deblurring of spiral fMRI images using deep learning

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 learning-based thoracic cavity segmentation for hyperpolarized 129Xe MRI

Deep-Learning-Based Motion Correction For Quantitative Cardiac MRI

Author:Alfredo De Goyeneche  Shuyu Tang  Nii Addy  Bob Hu  William Overall  Juan Santos  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:0387  

Room Session:Concurrent 1  

Institution:HeartVista, Inc.  

Development of a Deep Learning MRI Phase Unwrapping Technique Using an Exact Unwrap-Rewrap Training Model

Author:Rita Kharboush  Anita Karsa  Barbara Dymerska  Karin Shmueli  

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:2411  

Room Session:Concurrent 1  

Institution:University College London  

Direct Synthesis of Multi-Contrast Images from MR Multitasking Spatial Factors Using Deep Learning

Does Simultaneous Morphological Inputs Matter for Deep Learning Enhancement of Ultra-low Amyloid PET/MRI?

Evaluation of Automated Brain Tumor Localization by Explainable Deep Learning Methods

Fat-Saturated MR Image Synthesis with Acquisition Parameter-Conditioned Image-to-Image Generative Adversarial Network

Federated Multi-task Image Classification on Heterogeneous Medical data with Privacy Perversing

A fully automated framework for intracranial vessel wall segmentation based on 3D black-blood MRI

Fully-Automated Deep Learning-Based Background Phase Error Correction for Abdominopelvic 4D Flow MRI

HDnGAN: High-fidelity ultrafast volumetric brain MRI using a hybrid denoising generative adversarial network

Image domain Deep-SLR for Joint Reconstruction-Segmentation of Parallel MRI

Author:Aniket Pramanik  Mathews Jacob  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:0393  

Room Session:Concurrent 1  

Institution:The University of Iowa  

Image Registration of Perfusion MRI Using Deep Learning Networks

Improving ASL MRI Sensitivity for Clinical Applications Using Transfer Learning-based Deep Learning

Author:Danfeng Xie  Yiran Li  Ze Wang  

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:2412  

Room Session:Concurrent 1  

Institution:University of Maryland School of Medicine  

Learning-based non-linear registration robust to MRI-sequence contrast

MRI denoising using native noise

MRI-based deep learning model in differentiating benign from malignant renal tumors: a comparison study with radiomics analysis

MRI-Based Response Prediction to Immunotherapy of Late-Stage Melanoma Patients Using Deep Learning

Multi-contrast CS reconstruction using data-driven and model-based deep neural networks

Multi-Contrast MRI Reconstruction from Single-Channel Uniformly Undersampled Data via Deep Learning

Multidimensional analysis and detection of informative features in diffusion MRI measurements of human white matter

Multimodal Image Fusion Integrating Tensor Modeling and Deep Learning

Multi-sequence and multi-regional background segmentation on multi-centric DSC and DCE MRI using deep learning

Multi-task Deep Learning for Late-activation Detection of Left Ventricular Myocardium

Multi-Task Learning based 3-Dimensional Striatal Segmentation of MRI – PET and fMRI Objective Assessment

Multi-task MR imaging with deep learning

Prospective Performance Evaluation of the Deep Learning Reconstruction Method at 1.5T: A Multi-Anatomy and Multi-Reader Study

PU-NET: A robust phase unwrapping method for magnetic resonance imaging based on deep learning

Quantification of Unsuppressed Water Spectrum using Autoencoder with Feature Fusion

Self-supervised Cardiac MRI Denoising with Deep Learning

Author:Junshen Xu  Elfar Adalsteinsson  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:0388  

Room Session:Concurrent 1  

Institution:Massachusetts Institute of Technology  

A Supervised Artificial Neural Network Approach with Standardized Targets for IVIM Maps Computation

Swarm intelligence: a novel clinical strategy for improving imaging annotation accuracy, using wisdom of the crowds.

Task Performance or Artifact Reduction? Evaluating the Number of Channels and Dropout based on Signal Detection on a U-Net with SSIM Loss

Task-Based Assessment for Neural Networks: Evaluating Undersampled MRI Reconstructions based on Signal Detection

Unsupervised deep learning for multi-modal MR image registration with topology-preservingdual consistency constraint

Using uncertainty estimation to increase the robustness of bone marrow segmentation in T1-weighted Dixon MRI for multiple myeloma

Zero-dose FDG PET Brain Imaging

Author:Jiahong Ouyang  Kevin Chen  Greg Zaharchuk  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2424  

Room Session:Concurrent 1  

Institution:Stanford University