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

11 citations · 11 across the 2 of their papers we have counts for

collaborators

2 papers

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…

eess.IV2022

Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning

Linkai Peng, Li Lin, Pujin Cheng +2

Various deep learning models have been developed to segment anatomical structures from medical images, but they typically have poor performance when tested on another target domain…