3D MRI Denoising with Wasserstein Generative Adversarial Network

3T to 7T MRI Synthesis via Deep Learning in Spatial-Wavelet Domains

A deep autoencoder method for image quality assessment

Author:Andre Maximo  Chitresh Bhushan  Desmond Yeo  Thomas Foo  

Institution:GE Global Research  Ge Healthcare  GE Healthcare  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Enhancement, Quality Assessment & Synthetic Image Generation  

Program Number:4849  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 131  

A Two-Step Automated Liver MR Images Quality Assessment based on Convolutional Neural Network

Automated Identification of Noise Signal in Spinal DCE-MRI using Independent Component Analysis and Unsupervised Machine Learning

Author:Lucy Wang  Yi Wang  Murat Alp Oztek  Nina Mayr  Simon Lo  William Yuh  Mahmud Mossa-Basha  

Institution:Philips Healthcare  Philips Healthcare  University of Washington  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Enhancement, Quality Assessment & Synthetic Image Generation  

Program Number:4850  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 132  

Automated slice-to-volume registration between histology and whole-brain post-mortem MRI

Build-a-FLAIR: The synthetic generation of T2-FLAIR contrast from T2-weighted and diffusion metric images through a deep neural network.

Author:Andrew Nencka  Brad Swearingen  Kevin Koch  Michael McCrea  

Institution:Medical College of Wisconsin  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Enhancement, Quality Assessment & Synthetic Image Generation  

Program Number:4864  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 146  

Deep Learning based Velocity Aliasing Correction for 4D Flow MRI

Author:Haben Berhane  Hassan Haji-Valizadeh  Joshua Robinson  Michael Markl  Cynthia Rigsby  

Institution:Lurie Childrens Hospital of Chicago  Northwestern University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Enhancement, Quality Assessment & Synthetic Image Generation  

Program Number:4860  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 142  

Deep Neural Networks for Motion Estimation in k-space: Applications and Design

Deep Residual Neural Networks for QSM Background Removal

Author:Juan Liu  Andrew Nencka  Kevin Koch  

Institution:Marquette University and Medical College of Wisconsin  Medical College of Wisconsin  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Enhancement, Quality Assessment & Synthetic Image Generation  

Program Number:4852  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 134  

Fetal Motion Prediction from Volumetric MRI using Machine Learning

Fetal Pose Estimation via Deep Neural Network by Detection of Fetal Joints, Eyes, and Bladder

Head Movement Detection from Radial k-Space Lines using Convolutional Neural Networks – A Digital Phantom Study

Author:Maximilian Wattenberg  Jannis Hagenah  Constantin Schareck  Floris Ernst  Martin Koch  

Institution:Universität zu Lübeck  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Enhancement, Quality Assessment & Synthetic Image Generation  

Program Number:4859  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 141  

Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation

k-space deep learning for MR herringbone artifact correction

Author:Juyoung Lee  Jong Chul Ye  

Institution:KAIST  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Enhancement, Quality Assessment & Synthetic Image Generation  

Program Number:4855  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 137  

Motion Correction of Magnitude MR Images using Generative Adversarial Networks

Author:Yuan Bian  Ye Wang  Stanley Reeves  

Institution:Auburn University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Enhancement, Quality Assessment & Synthetic Image Generation  

Program Number:4857  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 139  

Overcoming the Rician Noise Bias of T2* Relaxometry with an Artificial Neural Network (ANN)

Reinforcement Learning for Automated Reference-free MR Image Quality Assessment

Single image denoising and noise map estimation using random matrix theory

Synthesizing T2 Maps from Morphological OAI Scans Using Conditional GANs and a Split U-Net

Synthetic MRI with water suppression technique  to reduce CSF partial-volume artifacts

Author:Tokunori Kimura  Yuki Takai  Hiroshi Kusahara  Hitoshi Kanazawa  Ryo Shiroishi  

Institution:Canon Medical Systems Corp.  Shizuoka College of Medicalcare Science  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Enhancement, Quality Assessment & Synthetic Image Generation  

Program Number:4867  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 149  

The impact of variable MRI acquisition parameters on deep learning-based synthetic CT generation

Author:Mateusz Florkow  Frank Zijlstra  Koen Willemsen  René Castelein  Peter Seevinck  Marijn van Stralen  

Institution:University Medical Center Utrecht  MRIguidance  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Enhancement, Quality Assessment & Synthetic Image Generation  

Program Number:4865  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 147  

Towards Contrast-Independent Automated Motion Detection Using 2D Adversarial DenseNets

Visualizing the “ideal” input MRI for synthetic CT generation with a trained deep convolutional neural network: Can we improve the inputs for deep learning models?