most citedKnowledge-driven deep learning for fast MR imaging: undersampled MR image reconstruction from supervised to un-supervised learning

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eess.IV2024★ 1 cited

Knowledge-driven deep learning for fast MR imaging: undersampled MR image reconstruction from supervised to un-supervised learning

Shanshan Wang, Ruoyou Wu, Sen Jia +4

Deep learning (DL) has emerged as a leading approach in accelerating MR imaging. It employs deep neural networks to extract knowledge from available datasets and then applies the t…

eess.IV2024

Modality Exchange Network for Retinogeniculate Visual Pathway Segmentation

Hua Han, Cheng Li, Lei Xie +3

Accurate segmentation of the retinogeniculate visual pathway (RGVP) aids in the diagnosis and treatment of visual disorders by identifying disruptions or abnormalities within the p…

eess.IV2024

LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation

Alou Diakite, Cheng Li, Lei Xie +3

Recent research has shown the potential of deep learning in multi-parametric MRI-based visual pathway (VP) segmentation. However, obtaining labeled data for training is laborious a…