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

Deep Learning Based Multi-Scale Approach for Precision Medicine and Quantitative Imaging in Glioblastoma

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  

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  

Synthesizing Missing MRI Sequences Towards Reliable Brain Tumor Segmentation Using Deep Learning