7 citations · 10 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 7 cited
MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets
Shixiang Feng, Yuhang Zhou, Xiaoman Zhang +2
Annotating multiple organs in 3D medical images is time-consuming and costly. Meanwhile, there exist many single-organ datasets with one specific organ annotated. This paper invest…
cs.CV2021★ 3 cited
Uncertainty-aware Incremental Learning for Multi-organ Segmentation
Yuhang Zhou, Xiaoman Zhang, Shixiang Feng +2
Most existing approaches to train a unified multi-organ segmentation model from several single-organ datasets require simultaneously access multiple datasets during training. In th…
cs.CV2020
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation
Xiaoman Zhang, Shixiang Feng, Yuhang Zhou +2
Automatic and accurate tumor segmentation on medical images is in high demand to assist physicians with diagnosis and treatment. However, it is difficult to obtain massive amounts…