| Classification of Covid-19 coronavirus, pneumonia and healthy lungs in CT scans using Q-deformed entropy and deep learning features AM Hasan, MM Al-Jawad, HA Jalab, H Shaiba, RW Ibrahim, ... Entropy 22 (5), 517, 2020 | 175 | 2020 |
| Combining Deep and Handcrafted Image Features for MRI Brain Scan Classification AM Hasan, HA Jalab, F Meziane, H Kahtan, AS Al-Ahmad IEEE Access, 2019 | 119 | 2019 |
| Segmentation of Brain Tumors in MRI Images Using Three-Dimensional Active Contour without Edge AM Hasan, F Meziane, R Aspin, HA Jalab Symmetry 8 (11), 132, 2016 | 84 | 2016 |
| Automated screening of MRI brain scanning using grey level statistics FM Ali M. Hasan Computers and Electrical Engineering 53, 2016 | 43 | 2016 |
| A new deformable model based on fractional Wright energy function for tumor segmentation of volumetric brain MRI scans RW Ibrahim, AM Hasan, HA Jalab Computer methods and programs in biomedicine 163, 21-28, 2018 | 41 | 2018 |
| Magnetic Resonance Imaging Segmentation Techniques of Brain Tumors: A Review H Jalab, AM Hasan Archives of Neuroscience, 2019 | 29 | 2019 |
| MRI brain classification using the quantum entropy LBP and deep-learning-based features AM Hasan, HA Jalab, RW Ibrahim, F Meziane, AR AL-Shamasneh, ... Entropy 22 (9), 1033, 2020 | 23 | 2020 |
| A new medical image enhancement algorithm based on fractional calculus HA Jalab, RW Ibrahim, AM Hasan, FK Karim, AR Al-Shamasneh, ... | 19 | 2021 |
| Performance of Grey Level Statistic Features versus Gabor wavelet for Screening MRI Brain Tumors: A Comparative Study AM Hasan, F Meziane, HA Jalab The 6th International Conference on Information Communication and Management …, 2016 | 19 | 2016 |
| A hybrid approach of using particle swarm optimization and volumetric active contour without edge for segmenting brain tumors in MRI scan AM Hasan Indonesian Journal of Electrical Engineering and Informatics (IJEEI) 6 (3 …, 2018 | 18 | 2018 |
| Breast cancer MRI classification based on fractional entropy image enhancement and deep feature extraction AM Hasan, AF Qasim, HA Jalab, RW Ibrahim Baghdad Science Journal 20 (1), 0221-0221, 2023 | 17 | 2023 |
| Automated segmentation of tumours in mri brain scans AM Hasan, F Meziane, M Khadim Proceedings of the 9th International Joint Conference on Biomedical …, 2016 | 14 | 2016 |
| Combination of Local Binary Pattern and Face Geometric Features for Gender Classification from Face Images HK Omer, HA Jalab, AM Hasan, NE Tawfiq 2019 9th IEEE International Conference on Control System, Computing and …, 2020 | 11 | 2020 |
| Molecular subtypes classification of breast cancer in DCE-MRI using deep features AM Hasan, NKN Al-Waely, HK Aljobouri, HA Jalab, RW Ibrahim, ... Expert Systems with Applications 236, 121371, 2024 | 9 | 2024 |
| MRI brain scan classification using novel 3-D statistical features AM Hasan, F Meziane, R Aspin, HA Jalab 2nd International Conference on Internet of Things, Data and Cloud Computing …, 2017 | 9 | 2017 |
| A classification model of breast masses in DCE-MRI using kinetic curves features with quantum-Raina’s polynomial based fusion AM Hasan, NKN Al-Waely, HK Ajobouri, RW Ibrahim, HA Jalab, ... Biomedical Signal Processing and Control 84, 105002, 2023 | 8 | 2023 |
| Magnetic resonance imaging breast scan classification based on texture features and long short-term memory model SR Hilal, HS Hasan, AM Hasan NeuroQuantology 19 (7), 41-47, 2021 | 7 | 2021 |
| An automated system for the classification and segmentation of brain tumours in MRI images based on the modified grey level co-occurrence matrix AMH Al-Waeli PQDT-Global, 2017 | 7 | 2017 |
| Medical Image Enhancement Based on Statistical Distributions in Fractional Calculus HA Jalab, RW Ibrahim, AM Hasan Computing Conference, 18-20 July 2017 | London, UK, 2017 | 7 | 2017 |
| MRI Brain Scans Classification Using Extreme Learning Machine on LBP and GLCM. JYR Al-Awadi, HK Aljobouri, AM Hasan International Journal of Online & Biomedical Engineering 19 (2), 2023 | 5 | 2023 |
Hamid A. JalabInformation and Communication Technology Research Group, Al-Ayen UniversityScientific ResearchE-mailová adresa ověřena na: um.edu.my
