Dec 3, 2021 � The implant is post-processed by smoothing and filtering (two filtering methods were investigated: (1) topological and (2) learned filtering).
A U-Net Based System for Cranial Implant Design with Pre-processing and Learned Implant Filtering ; Author: Mahdi, Hamza; Clement, Allison; Kim, Evan; Fishman,�...
The developed pipeline consisted of: cropping the skull geometry, prediction of intact skull geometry using a U-Net style encoder/decoder, binary subtraction of�...
Existing deep learning-based methods usually train a deep neural net on hundreds of skull images with either synthetic defects [25][26][27][28] or�...
A U-Net Based System for Cranial Implant Design with Pre-processing and Learned Implant Filtering. Sparse Convolutional Neural Network for Skull Reconstruction.
A U-Net Based System for Cranial Implant Design with Pre-processing and Learned Implant Filtering. Hamza Mahdi, Allison Clement, Evan Kim, Zachary Fishman�...
2021, A U-Net Based System for Cranial Implant Design with Pre-processing and Learned Implant Filtering � Mahdi, Hamza; Clement, Allison; Kim, Evan; Fishman,�...
A U-Net Based System for Cranial Implant Design with Pre-processing and Learned Implant Filtering. 63-79. view. electronic edition via DOI � unpaywalled version�...
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What are cranial implants used for?
Dec 11, 2023 � Here, we present a practical deep-learning approach to generate implant geometry from defective 3D skull models created from CT scans.
A U-Net Based System for Cranial Implant Design with Pre-processing and Learned Implant Filtering. Chapter. Dec 2021. Hamza Mahdi � Allison Clement � Evan Kim�...