Outputs (51)

A clustering based transfer function for volume rendering using gray-gradient mode histogram (2019)
Journal Article
Lan, Y., Ding, Y., Luo, X., Zhang, Y., Huang, C., Ng, E. Y., Huang, W., Zhou, X., Su, J., Peng, Y., Wang, Z., Cheng, Y., & Che, W. (2019). A clustering based transfer function for volume rendering using gray-gradient mode histogram. IEEE Access, 7, 80737-80747. https://doi.org/10.1109/ACCESS.2019.2923080

Volume rendering is an emerging technique widely used in the medical field to visualize human organs using tomography image slices. In volume rendering, sliced medical images are transformed into attributes, such as color and opacity through transfer... Read More about A clustering based transfer function for volume rendering using gray-gradient mode histogram.

High precision implicit modeling for patient-specific coronary arteries (2019)
Journal Article
Hong, Q., Li, Q., Wang, B., Liu, K., & Qi, Q. (2019). High precision implicit modeling for patient-specific coronary arteries. IEEE Access, 7, 72020-72029. https://doi.org/10.1109/ACCESS.2019.2920113

High precision geometric reconstruction of patient-specific coronary arteries plays a crucial role in visual diagnosis, treatment decision-making, and the evaluation of the therapeutic effect of interventions in coronary artery diseases. It is also a... Read More about High precision implicit modeling for patient-specific coronary arteries.

A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth (2019)
Journal Article
Pinheiro, M., Ma, X., Fagan, M. J., McIntyre, G. T., Lin, P., Sivamurthy, G., & Mossey, P. A. (2019). A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth. Journal of Biological Engineering, 13(1), https://doi.org/10.1186/s13036-019-0171-6

© 2019 The Author(s). Background: Cephalometric analysis is used to evaluate facial growth, to study the anatomical relationships within the face. Cephalometric assessment is based on 2D radiographic images, either the sagittal or coronal planes and... Read More about A 3D cephalometric protocol for the accurate quantification of the craniofacial symmetry and facial growth.

An investigation into alternative methods for the simulation and analysis of growth models (2019)
Thesis
Odiam, L. R. F. An investigation into alternative methods for the simulation and analysis of growth models. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4221634

Complex systems are a rapidly increasing area of research covering numerous disciplines including economics and even cancer research, as such the optimisation of the simulations of these systems is important. This thesis will look specifically at two... Read More about An investigation into alternative methods for the simulation and analysis of growth models.

An evaluation framework and selection tool for education apps usability, with a case study from health education apps (2019)
Thesis
Aljaber, T. An evaluation framework and selection tool for education apps usability, with a case study from health education apps. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4223074

Mobile apps for health education are commonly utilised to support different users. The development of these apps is increasing rapidly. A critical evaluation framework is needed to ensure the usability and reliability of Mobile Health Education Appli... Read More about An evaluation framework and selection tool for education apps usability, with a case study from health education apps.

Middle-out domain-specific aspect languages and their application in agent-based modelling runtime inspection (2019)
Thesis
Maddra, C. A. Middle-out domain-specific aspect languages and their application in agent-based modelling runtime inspection. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4221550

Domain-Specific Aspect Languages (DSALs) are a valuable tool for separating cross-cutting concerns, particularly within fields with endemic cross-cutting practices. Agent-Based Modelling (ABM) runtime inspection, which cuts across the core concern of... Read More about Middle-out domain-specific aspect languages and their application in agent-based modelling runtime inspection.

Modern control laws for an articulated robotic arm: Modeling and simulation (2019)
Journal Article
Iqbal, J. (2019). Modern control laws for an articulated robotic arm: Modeling and simulation. Engineering, Technology and Applied Science Research, 9(2), 4057-4061. https://doi.org/10.48084/etasr.2598

The robotic manipulator has become an integral component of modern industrial automation. The current paper deals with the mathematical modeling and non-linear control of this manipulator. DH-parameters are used to derive kinematic model while the dy... Read More about Modern control laws for an articulated robotic arm: Modeling and simulation.

A Survey of the methods on fingerprint orientation field estimation (2019)
Journal Article
Bian, W., Xu, D., Li, Q., Cheng, Y., Jie, B., & Ding, X. (2019). A Survey of the methods on fingerprint orientation field estimation. IEEE Access, 7, 32644-32663. https://doi.org/10.1109/ACCESS.2019.2903601

Fingerprint orientation field (FOF) estimation plays a key role in enhancing the performance of the automated fingerprint identification system (AFIS): Accurate estimation of FOF can evidently improve the performance of AFIS. However, despite the eno... Read More about A Survey of the methods on fingerprint orientation field estimation.

A new pulse coupled neural network (PCNN) for brain medical image fusion empowered by shuffled frog leaping algorithm (2019)
Journal Article
Huang, C., Tian, G., Lan, Y., Peng, Y., Ng, E. Y. K., Hao, Y., Cheng, Y., & Che, W. (2019). A new pulse coupled neural network (PCNN) for brain medical image fusion empowered by shuffled frog leaping algorithm. Frontiers in Neuroscience, 13, Article 210. https://doi.org/10.3389/fnins.2019.00210

Recent research has reported the application of image fusion technologies in medical images in a wide range of aspects, such as in the diagnosis of brain diseases, the detection of glioma and the diagnosis of Alzheimer’s disease. In our study, a new... Read More about A new pulse coupled neural network (PCNN) for brain medical image fusion empowered by shuffled frog leaping algorithm.

Health data driven on continuous blood pressure prediction based on gradient boosting decision tree algorithm (2019)
Journal Article
Zhang, B., Ren, J., Wang, B., Cheng, Y., & Wei, Z. (2019). Health data driven on continuous blood pressure prediction based on gradient boosting decision tree algorithm. IEEE Access, 7, 32423-32433. https://doi.org/10.1109/ACCESS.2019.2902217

Diseases related to issues with blood pressure are becoming a major threat to human health. With the development of telemedicine monitoring applications, a growing number of corresponding devices are being marketed, such as the use of remote monitori... Read More about Health data driven on continuous blood pressure prediction based on gradient boosting decision tree algorithm.