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معلومات شخصية
الاسم الكامل: أ.د. علي مجيد حسن
الجنس: ذكر سنة الميلاد: 1980 الجنسية: العراق الشهادة: دكتوراه اللقب العلمي: أستاذ التشكيل: كلية الطب
القسم: الفسلجة والفيزياء الطبية التخصص العام: هندسة حاسبات التخصص الدقيق: معالجات صورية اللغة الام: العربية اللغات الاخرى: الانكليزية البريد الالكتروني الرسمي: alialwaeli@nahrainuniv.edu.iq البريد الالكتروني الشخصي: a.hasan4@edu.salford.ac.uk
روابط
المنشورات
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Discrimination of invasive ductal and lobular carcinoma of the breast based on the combination of enhanced Legendre polynomial, kinetic features and deep learning features
A Hasan, N Al-Waely, H Aljobouri, H Jalab, R Ibrahim, F Meziane, 2025
Biomedical Signal Processing and Control, 104, (June 2025), 107546
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Breast Masses in Dynamic Contrast-Enhanced Magnetic Resonance Imaging Classification Based on Combining Deep Learning and Local Binary Pattern Features
R Hasan, 2024
2024 4th International Conference of Science and Information Technology in Smart Administration (ICSINTESA) -
Lung CT Image Segmentation Using VGG-16 Network with Image Enhancement Based on Bounded Turning Mittag-Leffler Function
A Hasan, M Khalaf, B Sabbar, R Ibrahim, H Jalab, F Meziane, 2024
Baghdad Science Journal, 12, (2024)
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MRI Brain Tumor Classification Using Robust Convolutional Neural Network CNN Approach
أ.م.د. علي مجيد حسن, 2023
2022 Iraqi International Conference on Communication and Information Technologies (IICCIT) -
Diagnosis of breast cancer based on hybrid features extraction in dynamic contrast enhanced magnetic resonance imaging
أ.م.د. علي مجيد حسن, أ.م.د. هديل قاسم وادي, أ.م.د. نور كاظم نعمة, أ.د. رابحة وائل ابراهيم, أ.د. حامد عبد الله, أ.د. فريد مزين, 2023
Neural Computing and Applications -
MRI Brain Scans Classification Using Extreme Learning Machine on LBP and GLCM
J Al-Awadi, H Aljobouri, A Hasan, 2023
International Journal of Online and Biomedical Engineering (iJOE), 19, (2) -
A classification model of breast masses in DCE-MRI using kinetic curves features with quantum-Raina’s polynomial based fusion
A Hasan, N Al-Waely, H Aljobouri, R Ibrahim, H Jalab, F Meziane, 2023
Biomedical Signal Processing and Control, 84, (2023) -
Molecular subtypes classification of breast cancer in DCE-MRI using deep features
A Hasan, N Al-Waely, H Aljobouri, H Jalab, R Ibrahim, F Meziane, 2023
Expert Systems With Applications, 236, (February 2024), 121371
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An Automated System for the Classification of COVID-19, Suspected COVID-19 and Healthy Lung CT Images based on Local Binary Pattern and Deep Learning Features
L Satoory, H Hasan, A Hasan, 2022
NeuroQuantology, 20, (5), 436-443 -
Breast Cancer MRI Classification Based on Fractional Entropy Image Enhancement and Deep Feature Extraction
A Hasan, A Qasim, H Jalab, R Ibrahim, 2022
Baghdad Science Journal, 2022, (7)
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Magnetic Resonance Imaging Breast Scan Classification based on Texture Features and Long Short-Term Memory Model
S Hasan, 2021
NeuroQuantology, 19, (7) -
A New Medical Image Enhancement Algorithm Based on Fractional Calculus
H Jalab, R Ibrahim, A Hasan, F Karim, A Al-Shamasneh, D Baleanu, 2021
Computers, Materials & Continua, 68, (2)
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Classification of covid-19 coronavirus, pneumonia and healthy lungs in ct scans using q-deformed entropy and deep learning features
A Hasan, M Al-Jawad, H Jalab, H Shaiba, R Ibrahim, A AL-Shamasneh, 2020
Entropy, 22, (5), 517 -
MRI brain scans classification using bi-directional modified gray level co-occurrence matrix and long short-term memory
A Hasan, M M.H., H Hasan, H H.S., H Hasan, 2020
NeuroQuantology, 18, (9), 54-63 -
MRI brain classification using the quantum entropy LBP and deep-learning-based features
A Hasan, H Jalab, R Ibrahim, F Meziane, A AL-Shamasneh, S Obaiys, 2020
Entropy, 22, (9), 1033 -
Combination of Local Binary Pattern and Face Geometric Features for Gender Classification from Face Images
H Omer, H Jalab, A Hasan, N Tawfiq, 2020
2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), 158-161 -
The correlation of Modulation Complexity Score (MCS) with number of segments and local gamma passing rate for the IMRT treatment planning delivery
O Jubbier, A Hasan, S Abdullah, H Alabedi, N Alazawy, 2020
The Second International Conference of the Al Karkh University of Science ISC2/KUS2020At: Baghdad, Iraq
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Combining Deep and Handcrafted Image Features for MRI Brain Scan Classification
A Hasan, H Jalab, F Meziane, H Kahtan, A Al-Ahmad, 2019
IEEE Access -
Magnetic Resonance Imaging Segmentation Techniques of Brain Tumors: A Review
H Jalab, A Hasan, 2019
Archives of Neuroscience, (6 (Special Issue); e84920)
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A new deformable model based on fractional Wright energy function for tumor segmentation of volumetric brain MRI scans
R Ibrahim, A Hasan, H Jalab, 2018
Computer methods and programs in biomedicine, 163, 21-28 -
A hybrid approach of using particle swarm optimization and volumetric active contour without edge for segmenting brain tumors in MRI scan
A Hasan, 2018
Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 6, (3), 292-300
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Medical Image Enhancement Based on Statistical Distributions in Fractional Calculus
H Jalab, R Ibrahim, A Hasan, 2017
Computing Conference, 18-20 July 2017 | London, UK -
MRI brain scan classification using novel 3-D statistical features
A Hasan, F Meziane, R Aspin, H Jalab, 2017
2nd International Conference on Internet of Things, Data and Cloud Computing (ICC 2017), Cambridge United Kingdom -
An automated system for the classification and segmentation of brain tumours in MRI images based on the modified grey level co-occurrence matrix [dissertation]
A Al-Waeli, 2017
UK: University of Salford -
Image Enhancement Based on Fractional Poisson for Segmentation of Skin Lesions Using the Watershed Transform
A Al-abayechi, H Jalab, R Ibrahim, A Hasan, 2017
International Visual Informatics Conference, 249-259
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Segmentation of Brain Tumors in MRI Images Using Three-Dimensional Active Contour without Edge
A Hasan, F Meziane, R Aspin, H Jalab, 2016
Symmetry, 8, (11), 132 -
Automated screening of MRI brain scanning using grey level statistics
F Hasan, 2016
Computers and Electrical Engineering, 53 -
Automated segmentation of tumours in mri brain scans
A Hasan, F Meziane, M Khadim, 2016
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 55-62 -
Performance of Grey Level Statistic Features versus Gabor wavelet for Screening MRI Brain Tumors: A Comparative Study
A Hasan, F Meziane, H Jalab, 2016
The 6th International Conference on Information Communication and Management (ICICM 2016), At University of Hertfordshire, UK -
Image Splicing Detection using Electromagnetism-like Based Descriptor
Z Jalab, Z Moghaddasi, A Hasan, 2016
SAI Intelligent Systems Conference 2016
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Image retrieval system based on wavelet network
H Jalab, A Hasan, 2012
2012 International Conference on Computer, Information and Telecommunication Systems (CITS), 1-4
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Automated Screening and Segmentation of MRI Brain Scanning Based on 3-Dimentional Active Contour without Edge
A Hasan, unspecified
SPARC 2016 Book of Abstracts, 34
2293 الزيارات
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اخر تحديث لهذه الصفحة في: 2025-07-16 15:29:51
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تصميم وبرمجة د. رسول هشام السعدي - مركز الحاسبة الالكترونية
بريد الدعم الفني: cv@nahrainuniv.edu.iq
تصميم وبرمجة د. رسول هشام السعدي - مركز الحاسبة الالكترونية
بريد الدعم الفني: cv@nahrainuniv.edu.iq
عدد الزيارات: 887951
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