1 citations · 1 across the 4 of their papers we have counts for
4 papers
Decoupled Competitive Framework for Semi-supervised Medical Image Segmentation
Jiahe Chen, Jiahe Ying, Shen Wang +1
Confronting the critical challenge of insufficiently annotated samples in medical domain, semi-supervised medical image segmentation (SSMIS) emerges as a promising solution. Specif…
Analyzing Deep Learning Based Brain Tumor Segmentation with Missing MRI Modalities
Benteng Ma, Yushi Wang, Shen Wang
This technical report presents a comparative analysis of existing deep learning (DL) based approaches for brain tumor segmentation with missing MRI modalities. Approaches evaluated…
Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation
Shen Wang, Kongming Liang, Yiming Li +2
Brain midline delineation can facilitate the clinical evaluation of brain midline shift, which plays an important role in the diagnosis and prognosis of various brain pathology. Ne…
Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation
Shen Wang, Kongming Liang, Chengwei Pan +5
The midline related pathological image features are crucial for evaluating the severity of brain compression caused by stroke or traumatic brain injury (TBI). The automated midline…