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 …

Robotics applications in facial plastic surgeries

E Tokgöz, MA Carro - Cosmetic and reconstructive facial plastic surgery: A …, 2023 - Springer
Robotics applications in facial plastic surgery has been practical and observed to have
benefits. For instance, minimal invasiveness, small number of incisions, less blood loss …

Technological Improvements on Facial Plastic, Head, and Neck Procedures

E Tokgöz - Cosmetic and reconstructive facial plastic surgery: A …, 2023 - Springer
Facial plastic, head, and neck surgeries have come along a long way from the time they
were introduced. Advancement of technology in a variety of directions, including, but not …

Ultrasound computed tomography for material inspection: Principles, design and applications

MTM Khairi, S Ibrahim, MAM Yunus, M Faramarzi… - Measurement, 2019 - Elsevier
The non-destructive testing based on an ultrasound computed tomography (UCT) technique
has attracted the attention of the industrial and medical area due to its excellent capabilities …

Fast tomographic reconstruction from limited data using artificial neural networks

DM Pelt, KJ Batenburg - IEEE Transactions on Image …, 2013 - ieeexplore.ieee.org
Image reconstruction from a small number of projections is a challenging problem in
tomography. Advanced algorithms that incorporate prior knowledge can sometimes produce …

[图书][B] Machine learning for tomographic imaging

G Wang, Y Zhang, X Ye, X Mou - 2019 - iopscience.iop.org
The area of machine learning, especially deep learning, has exploded in recent years,
producing advances in everything from speech recognition and gaming to drug discovery …

Self-correcting neural network in road pavement diagnostics

M Staniek, P Czech - Automation in Construction, 2018 - Elsevier
The paper focuses on application of the self-correcting neural network in the process of road
pavement diagnostics. It provides a discussion on a method of road inspection based on the …

A new approach to designing interpretable models of dynamic systems

K Łapa, A Przybył, K Cpałka - … on Artificial Intelligence and Soft Computing, 2013 - Springer
In the process of designing automatic control system it is very important to have an accurate
model of the controlled process. Approaches to modelling dynamic systems presented in the …

A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling

K Łapa, M Zalasiński, K Cpałka - International Conference on Artificial …, 2013 - Springer
In this paper we propose a new method for evolutionary selection of parameters and
structure of neuro-fuzzy system for nonlinear modelling. This method allows maintain the …

[PDF][PDF] A new statistical reconstruction method for the computed tomography using an x-ray tube with flying focal spot

R Cierniak, P Pluta, M Waligóra, Z Szymański… - Journal of Artificial …, 2021 - sciendo.com
This paper presents a new image reconstruction method for spiral cone-beam tomography
scanners in which an X-ray tube with a flying focal spot is used. The method is based on …