Universitas Andalas - Research Directory

The Fundus Red Reflex Test Using a Smartphone Showed High Accuracy Compared to an Autorefractor to Detect Refractive Errors in Children
Fakultas Kedokteran
First Author: Syauqie M.
Authors: MUHAMMAD SYAUQIE
Q2 Journal |Journal of Ophthalmic and Vision Research
2026
Revealing the inherent properties of pupillary red reflex in refractive errors by smartphone imaging: a study in Indonesiaâs population
Fakultas Kedokteran
First Author: Syauqie M.
Authors: MUHAMMAD SYAUQIE
Q2 Journal |Optics Continuum
2025
Deep learning for vision screening in resource-limited settings: development of multi-branch CNN for refractive error detection based on smartphone image
Fakultas Kedokteran
First Author: Syauqie M.
Authors: MUHAMMAD SYAUQIE
Q1 Journal |Frontiers in Computer Science
2025
Development of High-Accuracy Refractive Error Screening Model in Low-Resource Environments: A Hybrid Approach Using Smartphone-Based Photorefraction and Multi-Branch Convolutional Neural Network Analysis
Fakultas Kedokteran
First Author: Syauqie M.
Authors: MUHAMMAD SYAUQIE
Non Q Conference Proceedin |Icmhi 2025 2025 9th International Conference on Medical and Health Informatics
2025
Effectiveness of eHealth Interventions to Prevent Adolescent Pregnancy: a Systematic Literature Review
Fakultas Kedokteran
First Author: Mahmud P.E.
Authors: MUHAMMAD SYAUQIE
Non Q Conference Proceedin |Icmhi 2025 2025 9th International Conference on Medical and Health Informatics
2025

The Fundus Red Reflex Test Using a Smartphone Showed High Accuracy Compared to an Autorefractor to Detect Refractive Errors in Children

Revealing the inherent properties of pupillary red reflex in refractive errors by smartphone imaging: a study in Indonesiaâs population

Deep learning for vision screening in resource-limited settings: development of multi-branch CNN for refractive error detection based on smartphone image

Development of High-Accuracy Refractive Error Screening Model in Low-Resource Environments: A Hybrid Approach Using Smartphone-Based Photorefraction and Multi-Branch Convolutional Neural Network Analysis

Effectiveness of eHealth Interventions to Prevent Adolescent Pregnancy: a Systematic Literature Review

Revealing the inherent properties of pupillary red reflex in refractive errors by smartphone imaging: a study in Indonesiaâs population