An efficient mixture of deep and machine learning models for covid-19 and tuberculosis detection using x-ray images in resource limited settings AH Al-Timemy, RN Khushaba, ZM Mosa, J Escudero Artificial Intelligence for COVID-19, 77-100, 2021 | 47 | 2021 |
Deep transfer learning for improved detection of keratoconus using corneal topographic maps AH Al-Timemy, NH Ghaeb, ZM Mosa, J Escudero Cognitive Computation 14 (5), 1627-1642, 2022 | 31 | 2022 |
A hybrid deep learning construct for detecting keratoconus from corneal maps AH Al-Timemy, ZM Mosa, Z Alyasseri, A Lavric, MM Lui, ... Translational Vision Science & Technology 10 (14), 16-16, 2021 | 25 | 2021 |
Support vector machine for keratoconus detection by using topographic maps with the help of image processing techniques AH Ali, NH Ghaeb, ZM Musa IOSR J. Pharm. Biol. Sci 12 (6), 50-58, 2017 | 16 | 2017 |
A deep feature fusion of improved suspected keratoconus detection with deep learning AH Al-Timemy, L Alzubaidi, ZM Mosa, H Abdelmotaal, NH Ghaeb, ... Diagnostics 13 (10), 1689, 2023 | 15 | 2023 |
Detecting keratoconus by using SVM and decision tree classifiers with the aid of image processing ZM Mosa, NH Ghaeb, AH Ali Baghdad Sci J 16 (4), 1022-1029, 2019 | 11 | 2019 |
The suitability of color histogram-based features for keratoconus detection from corneal thickness with and neural networks. RM Hazarbassanov, L Al-Zubaidi, ZM Mosa, HA Mutal, A Lavric, ... Investigative Ophthalmology & Visual Science 64 (8), 1089-1089, 2023 | 1 | 2023 |
A device-agnostic deep learning model for detecting keratoconus based on anterior elevation corneal maps A Al-Timemy, L Al-Zubaidi, N Ghaeb, H Takahashi, A Lavric, Z Mosa, ... Investigative Ophthalmology & Visual Science 63 (7), 2101–F0090-2101–F0090, 2022 | 1 | 2022 |
A hybrid deep learning framework for keratoconus detection based on anterior and posterior corneal maps. AH Al-Timemy, RM Hazarbassanov, ZM Mosa, Z Alyasseri, A Lavric, ... Investigative Ophthalmology & Visual Science 62 (11), 46-46, 2021 | 1 | 2021 |
Detecting keratoconus severity from corneal data of different populations with machine learning H Takahashi, AH Al-Timemy, ZM Mosa, Z Alyasseri, A Lavric, ... Investigative Ophthalmology & Visual Science 62 (8), 2145-2145, 2021 | 1 | 2021 |
Assessing the Efficacy of Deep Learning and Machine Learning Features in Detecting Keratoconus from Corneal Maps RM Hazarbassanov, AH Al-Timemy, CG Arce, PHF Franco, ... Investigative Ophthalmology & Visual Science 65 (7), 1608-1608, 2024 | | 2024 |
Device antagonist hybrid fusion model for suspect keratoconus detection RM Hazarbassanov, L Al-Zubaidi, Z Mosa, HA Mutal, A Lavric, ... Investigative Ophthalmology & Visual Science 64 (9), PB0012-PB0012, 2023 | | 2023 |