most citedSemi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2022★ 1 cited

Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation

Yousuf Babiker M. Osman, Cheng Li, Weijian Huang +4

Volumetric magnetic resonance (MR) image segmentation plays an important role in many clinical applications. Deep learning (DL) has recently achieved state-of-the-art or even human…

eess.IV2022

Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation

Cheng Li, Yousuf Babiker M. Osman, Weijian Huang +4

Multi-parametric magnetic resonance (MR) imaging is an indispensable tool in the clinic. Consequently, automatic volume-of-interest segmentation based on multi-parametric MR imagin…