Automated Segmentation of Tumours in MRI Brain Scans. - Ali M. Hasan; Farid Meziane; Mohammad Abd Kadhim (BIOIMAGING, 2016)

Image Splicing Detection Using Electromagnetism-Like Based Descriptor. - Hamid Abdullah Jalab; Ali M. Hasan; Zahra Moghaddasi; Zouhir Wakaf (IntelliSys (2), 2016)

Automated screening of MRI brain scanning using grey level statistics. - Ali M. Hasan; Farid Meziane (Comput. Electr. Eng., 2016)

Segmentation of Brain Tumors in MRI Images Using Three-Dimensional Active Contour without Edge. - Ali M. Hasan; Farid Meziane; Rob Aspin; Hamid Abdullah Jalab (Symmetry, 2016)

MRI brain scan classification using novel 3-D statistical features. - Ali M. Hasan; Farid Meziane; Rob Aspin; Hamid Abdullah Jalab (ICC, 2017)

Image Enhancement Based on Fractional Poisson for Segmentation of Skin Lesions Using the Watershed Transform. - Alaa Ahmed Abbas Al-abayechi; Hamid Abdullah Jalab; Rabha W. Ibrahim; Ali M. Hasan (IVIC, 2017)

A new deformable model based on fractional Wright energy function for tumor segmentation of volumetric brain MRI scans. - Rabha W. Ibrahim; Ali M. Hasan; Hamid Abdullah Jalab (Comput. Methods Programs Biomed., 2018)

Combination of Local Binary Pattern and Face Geometric Features for Gender Classification from Face Images. - Herman Khalid Omer; Hamid Abdullah Jalab; Ali M. Hasan; Nada Elya Tawfiq (ICCSCE, 2019)

Combining Deep and Handcrafted Image Features for MRI Brain Scan Classification. - Ali M. Hasan; Hamid Abdullah Jalab; Farid Meziane; Hasan Kahtan; Ahmad Salah Al-Ahmad (IEEE Access, 2019)

Classification of Covid-19 Coronavirus, Pneumonia and Healthy Lungs in CT Scans Using Q-Deformed Entropy and Deep Learning Features. - Ali M. Hasan; Mohammed M. AL-Jawad; Hamid Abdullah Jalab; Hadil Shaiba; Rabha W. Ibrahim; Ala'a R. Al-Shamasneh (Entropy, 2020)

MRI Brain Classification Using the Quantum Entropy LBP and Deep-Learning-Based Features. - Ali M. Hasan; Hamid Abdullah Jalab; Rabha W. Ibrahim; Farid Meziane; Ala'a R. Al-Shamasneh; Suzan Jabbar Obaiys (Entropy, 2020)

MRI Brain Scans Classification Using Extreme Learning Machine on LBP and GLCM. - Jhan Yahya Rbat Al-Awadi; Hadeel K. Aljobouri; Ali M. Hasan (Int. J. Online Biomed. Eng., 2023)

A classification model of breast masses in DCE-MRI using kinetic curves features with quantum-Raina's polynomial based fusion. - Ali M. Hasan; Noor K. N. Al-Waely; Hadeel K. Aljobouri; Rabha W. Ibrahim; Hamid Abdullah Jalab; Farid Meziane (Biomed. Signal Process. Control., 2023)

Diagnosis of breast cancer based on hybrid features extraction in dynamic contrast enhanced magnetic resonance imaging. - Ali M. Hasan; Hadeel K. Aljobouri; Noor K. N. Al-Waely; Rabha W. Ibrahim; Hamid Abdullah Jalab; Farid Meziane (Neural Comput. Appl., 2023)

Molecular subtypes classification of breast cancer in DCE-MRI using deep features. - Ali M. Hasan; Noor K. N. Al-Waely; Hadeel K. Aljobouri; Hamid Abdullah Jalab; Rabha W. Ibrahim; Farid Meziane (Expert Syst. Appl., 2024)

Discrimination of invasive ductal and lobular carcinoma of the breast based on the combination of enhanced Legendre polynomial, kinetic features and deep learning features. - Ali M. Hasan; Noor K. N. Al-Waely; Hadeel K. Aljobouri; Hamid Abdullah Jalab; Rabha W. Ibrahim; Farid Meziane (Biomed. Signal Process. Control., 2025)