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3D multiple overlapping-echo detachment (3D-MOLED) imaging for ultrafast simultaneous T2 and susceptibility mapping of whole-brain

CDGAN:Cross Datasets Generative Adversarial Network for MR multi-contrast Image Synthesis

Deep-learning-based flow-artifact correction for multi-shot multiple overlapping-echo detachment imaging (msh-MOLED)

Dual-confidence-guided feature learning for semi-supervised medical image segmentation

Author:Yudan Zhou  Shuhui Cai  Congbo Cai  Liangjie Lin  Zhong Chen  

Session Type:Oral  

Session Date:Tuesday, 07 May 2024  

Session Name:The Future of AI in MRI: Emerging Technologies & Directions  

Program Number:0657  

Room Session:Nicoll 3  

Institution:MSC Clinical & Technical Solutions  Xiamen University  

Fast mapping of simultaneous M0, T1, T2, T2 B1, and B0 using SSFP-based Multiple Overlapping-Echo Detachment Imaging

Fast water/fat T2 and PDFF mapping via multiple overlapping-echo acquisition and deep learning reconstruction

Predicting the onset of ischemic stroke with multi-parametric mapping based on multiple overlapping-echo detachment (MQMOLED) technique

Simultaneously multi-parameter mapping via SSFP multiple overlapping-echo acquisition and deep learning reconstruction