A review on machine learning in 3D printing: applications, potential, and challenges

GD Goh, SL Sing, WY Yeong - Artificial Intelligence Review, 2021 - Springer
Additive manufacturing (AM) or 3D printing is growing rapidly in the manufacturing industry
and has gained a lot of attention from various fields owing to its ability to fabricate parts with …

A review on functionally graded materials and structures via additive manufacturing: from multi‐scale design to versatile functional properties

Y Li, Z Feng, L Hao, L Huang, C Xin… - Advanced Materials …, 2020 - Wiley Online Library
Functionally graded materials (FGMs) and functionally graded structures (FGSs) are special
types of advanced composites with peculiar features and advantages. This article reviews …

Additive manufacturing of material scaffolds for bone regeneration: toward application in the clinics

C Garot, G Bettega, C Picart - Advanced functional materials, 2021 - Wiley Online Library
Additive manufacturing (AM) allows the fabrication of customized bone scaffolds in terms of
shape, pore size, material type, and mechanical properties. Combined with the possibility to …

Multiclass CBCT image segmentation for orthodontics with deep learning

H Wang, J Minnema, KJ Batenburg… - Journal of dental …, 2021 - journals.sagepub.com
Accurate segmentation of the jaw (ie, mandible and maxilla) and the teeth in cone beam
computed tomography (CBCT) scans is essential for orthodontic diagnosis and treatment …

Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques

S Noguchi, M Nishio, M Yakami, K Nakagomi… - Computers in biology …, 2020 - Elsevier
Background The purpose of this study was to develop and evaluate an algorithm for bone
segmentation on whole-body CT using a convolutional neural network (CNN). Methods …

CT image segmentation of bone for medical additive manufacturing using a convolutional neural network

J Minnema, M van Eijnatten, W Kouw, F Diblen… - Computers in biology …, 2018 - Elsevier
Background The most tedious and time-consuming task in medical additive manufacturing
(AM) is image segmentation. The aim of the present study was to develop and train a …

Accuracy and precision of mandible segmentation and its clinical implications: virtual reality, desktop screen and artificial intelligence

LJ Gruber, J Egger, A Bönsch, J Kraeima… - Expert Systems with …, 2024 - Elsevier
Objective 3D modeling is a major challenge in computer-assisted surgery (CAS). Manual
segmentation, as the gold standard, is tedious, time consuming, and particularly challenging …

A review on the application of deep learning for CT reconstruction, bone segmentation and surgical planning in oral and maxillofacial surgery

J Minnema, A Ernst, M van Eijnatten… - Dentomaxillofacial …, 2022 - academic.oup.com
Computer-assisted surgery (CAS) allows clinicians to personalize treatments and surgical
interventions and has therefore become an increasingly popular treatment modality in …

Segmentation of dental cone‐beam CT scans affected by metal artifacts using a mixed‐scale dense convolutional neural network

J Minnema, M van Eijnatten, AA Hendriksen… - Medical …, 2019 - Wiley Online Library
Purpose In order to attain anatomical models, surgical guides and implants for computer‐
assisted surgery, accurate segmentation of bony structures in cone‐beam computed …

3D Bioprinting tissue analogs: Current development and translational implications

S Liu, L Cheng, Y Liu, H Zhang… - Journal of Tissue …, 2023 - journals.sagepub.com
Three-dimensional (3D) bioprinting is a promising and rapidly evolving technology in the
field of additive manufacturing. It enables the fabrication of living cellular constructs with …