تسجيل الدخول/تحديث المعلومات
معلومات شخصية
الاسم الكامل: أ.م.د. علي مجيد حسن
الجنس: ذكر سنة الميلاد: 1980 الجنسية: العراق الشهادة: دكتوراه اللقب العلمي: أستاذ مساعد 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
-
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)
-
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)
-
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)
-
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
-
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)
-
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
-
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
-
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
-
Image retrieval system based on wavelet network
H Jalab, A Hasan, 2012
2012 International Conference on Computer, Information and Telecommunication Systems (CITS), 1-4
-
Automated Screening and Segmentation of MRI Brain Scanning Based on 3-Dimentional Active Contour without Edge
A Hasan
SPARC 2016 Book of Abstracts, 34
627 الزيارات
-
اخر تحديث لهذه الصفحة في: 2022-06-10 11:23:36
جميع الحقوق محفوظة لجامعة النهرين ©2023
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: 2014875
fetch time:0.101 s