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2D vs 3D Electrical Properties Tomography reconstruction: The impact of disregarding the third dimension.

Brain Tissue Segmentation robust to motion artifacts using Deformation-Aware Network

Complex B1 field predictions to evaluate Electrical Properties Tomography reconstructions.

A Contrastive Learning for Accelerating Diffusion Tensor Imaging with High Adaptability to Diffusion Gradient Schemes

Author:Siyun Jung  Jae-Yoon Kim  Dong-Hyun Kim  

Session Type:Oral  

Session Date:Thursday, 09 May 2024  

Session Name:Diffusion: Artificial Intelligence & Machine Learning  

Program Number:1142  

Room Session:Nicoll 1  

Institution:Yonsei University  

Data-driven Electrical Conductivity Reconstructions via transceive phase and signal magnitude gradient data from the three imaging directions

Improved 3D Prostate MR Fingerprinting with Cross-Domain Spatio-Temporal Reconstruction Network

Integrating Deep Learning for Detection and Correction of Motion Artifacts in multi-echo GRE MRI

Author:Eun-Gyu Ha  Kyu-Jin Jung  Mohammed Al-masni  Dong-Hyun Kim  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Acquisitions & Reconstructions Using AI II  

Program Number:2824  

Room Session:Exhibition Hall (Hall 403)  

Institution:Sejong University  Yonsei University  

A Joint 2.5D Physics-coupled Deep learning based Polynomial Fitting Approach for MR Electrical Properties Tomography

Meta-Learning Guided Pelvis MR to CT Translation: Addressing Cross-Modality Misalignments

A metric to access the noise error propagation in phase-based MR-EPT reconstruction

Retrospective Automatic Motion Detection in fMRI using k-space information

Author:Dong Wook Kim  KyuJin Jung  Chuanjiang Cui  SooHyoung Lee  SeungYeon Seo  Dong-Hyun Kim  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Task-/Intervention-Based fMRI  

Program Number:3155  

Room Session:Exhibition Hall (Hall 403)  

Institution:Yonsei University  

Retrospective Motion Correction: Traditional Versus AI Methods

Author:Dong-Hyun Kim  

Session Type:Weekend Course  

Session Date:Saturday, 04 May 2024  

Session Name:Clearing the Path: Tackling Motion & Susceptibility Artifacts in MRI  

Program Number:

Room Session:Room 334-336  

Institution:Yonsei University  

    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