24 citations · 95 across the 12 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019★ 6 cited
Deep Neural Networks for Surface Segmentation Meet Conditional Random Fields
Leixin Zhou, Zisha Zhong, Abhay Shah +3
Automated surface segmentation is important and challenging in many medical image analysis applications. Recent deep learning based methods have been developed for various object s…
eess.IV2019★ 5 cited
Deep segmentation networks predict survival of non-small cell lung cancer
Stephen Baek, Yusen He, Bryan G. Allen +13
Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is the leading cause of cancer-related death worldwide. Recent studies indicate that…
cs.CV2019★ 13 cited
Robust Image Segmentation Quality Assessment
Leixin Zhou, Wenxiang Deng, Xiaodong Wu
Deep learning based image segmentation methods have achieved great success, even having human-level accuracy in some applications. However, due to the black box nature of deep lear…