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PERSONAL INFORMATION
Full Name: Zahraa Malik Mosa
Gender: Female Birthdate: 1984 Nationality: Iraq Degree: MSc Academic Title: Assistant Lecturer College\Center: College of Science
Departement: Medical Physics Science Major: General Physics Specialty: Medical Image Processing Occupation: Assistant Lecturer Mother Language: Arabic Work email: zahraa.malik@nahrainuniv.edu.iq Personal email: zahraa.mosa@googlemail.com
LINKS
Publications
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A Deep Feature Fusion of Improved Suspected Keratoconus Detection with Deep Learning
A Al-Timemy, L Alzubaidi, Z Mosa, H Abdelmotaal, N Ghaeb, A Lavric, R Hazarbassanov, H Takahashi, Y Gu, S Yousefi, 2023
Diagnostics, 13, (10), 1689
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Deep transfer learning for improved detection of keratoconus using corneal topographic maps
A Al-Timemy, N Ghaeb, Z Mosa, J Escudero, 2022
Cognitive Computation, 14, (5), 1627-1642
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An efficient mixture of deep and machine learning models for covid-19 and tuberculosis detection using x-ray images in resource limited settings
A Al-Timemy, R Khushaba, Z Mosa, J Escudero, 2021
Artificial Intelligence for COVID-19, 77-100 -
A hybrid deep learning construct for detecting keratoconus from corneal maps
A Al-Timemy, Z Mosa, Z Alyasseri, A Lavric, M Lui, R Hazarbassanov, S Yousefi, 2021
Translational Vision Science & Technology, 10, (14), 16-16
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Detecting keratoconus by using SVM and decision tree classifiers with the aid of image processing
Z Mosa, N Ghaeb, A Ali, 2019
Baghdad Sci J, 16, (4), 1022-1029
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Support vector machine for keratoconus detection by using topographic maps with the help of image processing techniques
A Ali, N Ghaeb, Z Musa, 2017
IOSR Journal of Pharmacy and Biological Sciences, 12, (6), 50-58
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Profile last updated on: 2023-11-22 22:40:20
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