most citedLatent Disentanglement in Mesh Variational Autoencoders Improves the Diagnosis of Craniofacial Syndromes and Aids Surgical Planning

9 citations · 9 across the 1 of their papers we have counts for

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eess.IV2023★ 9 cited

Latent Disentanglement in Mesh Variational Autoencoders Improves the Diagnosis of Craniofacial Syndromes and Aids Surgical Planning

Simone Foti, Alexander J. Rickart, Bongjin Koo +9

The use of deep learning to undertake shape analysis of the complexities of the human head holds great promise. However, there have traditionally been a number of barriers to accur…