most citedMulti-modal Brain Tumor Segmentation via Missing Modality Synthesis and Modality-level Attention Fusion

11 citations · 12 across the 3 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

eess.IV2022

DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network

Ziqi Huang, Li Lin, Pujin Cheng +2

Contrast-enhanced T1 (T1ce) is one of the most essential magnetic resonance imaging (MRI) modalities for diagnosing and analyzing brain tumors, especially gliomas. In clinical prac…

eess.IV2022★ 11 cited

Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and Modality-level Attention Fusion

Ziqi Huang, Li Lin, Pujin Cheng +2

Multi-modal magnetic resonance (MR) imaging provides great potential for diagnosing and analyzing brain gliomas. In clinical scenarios, common MR sequences such as T1, T2 and FLAIR…