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 …
interventions and has therefore become an increasingly popular treatment modality in …
Deep learning predicts lung cancer treatment response from serial medical imaging
Purpose: Tumors are continuously evolving biological systems, and medical imaging is
uniquely positioned to monitor changes throughout treatment. Although qualitatively tracking …
uniquely positioned to monitor changes throughout treatment. Although qualitatively tracking …
Deep learning computed tomography
In this paper, we demonstrate that image reconstruction can be expressed in terms of neural
networks. We show that filtered back-projection can be mapped identically onto a deep …
networks. We show that filtered back-projection can be mapped identically onto a deep …
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 …
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 …
were introduced. Advancement of technology in a variety of directions, including, but not …
A deep learning reconstruction framework for X-ray computed tomography with incomplete data
As a powerful imaging tool, X-ray computed tomography (CT) allows us to investigate the
inner structures of specimens in a quantitative and nondestructive way. Limited by the …
inner structures of specimens in a quantitative and nondestructive way. Limited by the …
Short-term prediction of global sea surface temperature using deep learning networks
T Xu, Z Zhou, Y Li, C Wang, Y Liu, T Rong - Journal of Marine Science …, 2023 - mdpi.com
The trend of global Sea Surface Temperature (SST) has attracted widespread attention in
several ocean-related fields such as global warming, marine environmental protection and …
several ocean-related fields such as global warming, marine environmental protection and …
Dynamical machine learning volumetric reconstruction of objects' interiors from limited angular views
Limited-angle tomography of an interior volume is a challenging, highly ill-posed problem
with practical implications in medical and biological imaging, manufacturing, automation …
with practical implications in medical and biological imaging, manufacturing, automation …
A deep learning reconstruction framework for differential phase-contrast computed tomography with incomplete data
J Fu, J Dong, F Zhao - IEEE Transactions on Image Processing, 2019 - ieeexplore.ieee.org
Differential phase-contrast computed tomography (DPC-CT) is a powerful analysis tool for
soft-tissue and low-atomic-number samples. Limited by the implementation conditions, DPC …
soft-tissue and low-atomic-number samples. Limited by the implementation conditions, DPC …
A new approach to designing interpretable models of dynamic systems
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 …
model of the controlled process. Approaches to modelling dynamic systems presented in the …