Muhanad Alhareky
Biographic Data
| ID | 7099209 |
|---|---|
| NAME | Muhanad Alhareky |
| GIVEN NAMES | Muhanad |
| FAMILY NAME | Alhareky |
| SIGNATURE | ALHAREKY M |
| AFFILIATIONS | Department of Preventive Dental Sciences College of Dentistry, Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia |
| ORCID | 0000-0001-5731-6434 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Global caries experience in children and its relationship with government expenditures on education and health, sugar consumption, and years of schooling
Low, middle, and high-income countries demonstrated significant inequalities regarding caries experience, sugar consumption, and share of GDP spent on health and education. Increasing the share of GDP on education may reduce caries burden in children globally
A Deep Learning-Based Approach for the Detection of Early Signs of Gingivitis in Orthodontic Patients Using Faster Region-Based Convolutional Neural Networks
Computer-based technologies play a central role in the dentistry field, as they present many methods for diagnosing and detecting various diseases, such as periodontitis. The current study aimed to develop and evaluate the state-of-the-art object detection and recognition techniques and deep learning algorithms for the automatic detection of periodontal disease in orthodontic patients using intraoral images. In this study, a total of 134 intraora…
No prominent works on this page.
A Deep Learning-Based Approach for the Detection of Early Signs of Gingivitis in Orthodontic Patients Using Faster Region-Based Convolutional Neural Networks
Computer-based technologies play a central role in the dentistry field, as they present many methods for diagnosing and detecting various diseases, such as periodontitis. The current study aimed to develop and evaluate the state-of-the-art object detection and recognition techniques and deep learning algorithms for the automatic detection of periodontal disease in orthodontic patients using intraoral images. In this study, a total of 134 intraora…
Global caries experience in children and its relationship with government expenditures on education and health, sugar consumption, and years of schooling
Low, middle, and high-income countries demonstrated significant inequalities regarding caries experience, sugar consumption, and share of GDP spent on health and education. Increasing the share of GDP on education may reduce caries burden in children globally
Medicine (2 works) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Chemistry (1 work) · Child Nutrition and Water Access (1 work) · Computer Science (1 work) · Consumption (sociology (1 work) · Convolutional neural network (1 work) · Deep learning (1 work) · Demographic economics (1 work)