Aza Qays Abduljabar’s scientific contributions

The human brain serves as the nervous system's command center and controller. It controls many vital and functional processes in the human body. The functional MRI or functional Magnetic Resonance Imaging (fMRI) detects alterations in blood flow and uses that information to calculate brain activity. The three planes of fMRI are used to describe a human's anatomical position. The fundamental orientations are as follows: sagittal plane, often known as the longitudinal plane, splits the body into right and left halves; coronal plane is vertical plane that runs from side to side, separating the body or any of its parts into front and posterior halves, (is known as the frontal plane). axial plane or transverse plane (sometimes known as the horizontal plane or trans axial plane) separates the body into superior and inferior sections. In this article, we propose three tasks to identify pre-frontal, visual, and movement brain processes using a Deep Learning (DL) model called the Axial Plane Classification Model (APCM). The anatomic axial section in brain is a two-dimensional view of the aspect of the inferior section that is superior. This section is important to demonstrate a variety of unique than overlapping structures closely related and controlling the tasks of movement, vision and decision-making in brain deep. After extensive experiments, promising accuracies of 97% have successfully been obtained for APCM model.