AI-Augmented 3D Craniofacial Reconstruction for Enhanced Surgical Planning: A Novel Integration of Depth-Augmented Vision Transformers and MeshCNN for Structural Fidelity

Craniosynostosis, a craniofacial malformation characterized by premature suture fusion, poses significant challenges for surgical correction. Current methods for cranial reconstruction lack the precision required for accurate defect inpainting and depth awareness, limiting their clinical application...

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Bibliographic Details

Published in:	Egyptian informatics journal Vol. 32; p. 100810
Main Authors:	Vishal, Kukreja, Vinay, Ahuja, Vandana, Mehta, Shiva, Dogra, Ayush, Tejani, Ghanshyam G., Mousavirad, Seyed Jalaleddin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2025
Subjects:	3D U-net segmentation AI-augmented pre-surgical planning Craniosynostosis reconstruction Depth-Augmented Vision Transformers AI-augmented pre-surgical planning Craniosynostosis reconstruction 3D U-net segmentation Depth-Augmented Vision Transformers
ISSN:	1110-8665
Online Access:	Get full text
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