Morphological Decoupling-Based Skeletal Classification for Clinical Assessment of Malocclusion
Published in Biocybernetics and Biomedical Engineering, 2026
TeethGNN combines CBCT image features and predicted morphological indicators with a graph neural network for malocclusion skeletal classification.
Recommended citation: Zhichun Jin*, Zhicheng He*, Hao Xu, Dongyang Li, Lin Wang, Hongliang Ren, Long Bai. (2026). "Morphological Decoupling-Based Skeletal Classification for Clinical Assessment of Malocclusion." Biocybernetics and Biomedical Engineering, 46(4), Pages 650-660.
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