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4D Flow MRI Velocity Enhancement and Anti-Aliasing Using Divergence Free Potential in Neural Networks

Anatomy-Matching based Multi-contrast MR Super-resolution

Author:Hyeongyu Kim  Hyungseob Shin  Youngjun Song  Dosik Hwang  

Session Type:Digital Poster  

Session Date:Monday, 06 May 2024  

Session Name:AI-Empowered Image Enhancement  

Program Number:1967  

Room Session:Exhibition Hall (Hall 403)  

Institution:Dongguk University  Yonsei University  

Angiogram-aware deep learning methods for artifact correction of contrast enhanced MR angiography

CECNN-B1: Confidence-Enhanced CNN in B1 inhomogeneity Correction for Quantitative CEST MRI at 5 T

Compressed sense acquisition with artificial intelligence based denoising: evaluation in ultra-high field high resolution resting-state fMRI

CycleGAN-based Degradation Enhancement for Unpaired Super-Resolution of Anisotropic Medical Images

Author:Michele Pascale  Vivek Muthurangu  Jennifer Steeden  

Session Type:Digital Poster  

Session Date:Monday, 06 May 2024  

Session Name:AI-Empowered Image Enhancement  

Program Number:1966  

Room Session:Exhibition Hall (Hall 403)  

Institution:UCL  

Deep learning-based MRI denoising enhances the reliability of whole-brain volumetric analysis

Deep Learning-Based Super Resolution Reconstruction for Quantitative Susceptibility Mapping

Denoising AutoEncoder as a Pre-processor for Knee MRI Analysis

Feasibility of thin-slice pituitary microadenoma MRI with super-resolution deep learning-constrained compressed sensing reconstruction

Improved DCE-MRI for Diffuse Gliomas: Clinical Application of Deep Learning-based Super-resolution and Denoising Algorithm

Stacked Deep U-Net with Hybrid Assisted Priors for Through-Plane Super-Resolution in Brain MRI

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

Session Type:Digital Poster  

Session Date:Monday, 06 May 2024  

Session Name:AI-Empowered Image Enhancement  

Program Number:1971  

Room Session:Exhibition Hall (Hall 403)  

Institution:Sejong University  Yonsei University  

To SSIM, or to not SSIM: Investigating the impact of image artifacts and motion on image quality metrics

Author:Maarten Terpstra  Cornelis van den Berg  

Session Type:Digital Poster  

Session Date:Monday, 06 May 2024  

Session Name:AI-Empowered Image Enhancement  

Program Number:1976  

Room Session:Exhibition Hall (Hall 403)  

Institution:UMC Utrecht  

Usefulness of Super-Resolution Deep Learning-Based Reconstruction on High-Resolution 3D T2WI for Evaluation of the Internal Auditory Canal