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20142021
most citedUncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

280 citations · 432 across the 17 of their papers we have counts for

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Showing 2021Show all

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eess.IV2021

Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study

Dazhou Guo, Jia Ge, Xianghua Ye +22

Accurate organ at risk (OAR) segmentation is critical to reduce the radiotherapy post-treatment complications. Consensus guidelines recommend a set of more than 40 OARs in the head…