39 citations · 96 across the 4 of their papers we have counts for
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eess.IV2021★ 30 cited
Weaving Attention U-net: A Novel Hybrid CNN and Attention-based Method for Organs-at-risk Segmentation in Head and Neck CT Images
Zhuangzhuang Zhang, Tianyu Zhao, Hiram Gay +2
In radiotherapy planning, manual contouring is labor-intensive and time-consuming. Accurate and robust automated segmentation models improve the efficiency and treatment outcome. W…
eess.IV2020★ 25 cited
ARPM-net: A novel CNN-based adversarial method with Markov Random Field enhancement for prostate and organs at risk segmentation in pelvic CT images
Zhuangzhuang Zhang, Tianyu Zhao, Hiram Gay +2
Purpose: The research is to develop a novel CNN-based adversarial deep learning method to improve and expedite the multi-organ semantic segmentation of CT images, and to generate a…