42 citations · 137 across the 12 of their papers we have counts for
12 papers
An Ensemble Model with Attention Based Mechanism for Image Captioning
Israa Al Badarneh, Bassam Hammo, Omar Al-Kadi
Image captioning creates informative text from an input image by creating a relationship between the words and the actual content of an image. Recently, deep learning models that u…
Bidirectional Brain Image Translation using Transfer Learning from Generic Pre-trained Models
Fatima Haimour, Rizik Al-Sayyed, Waleed Mahafza +1
Brain imaging plays a crucial role in the diagnosis and treatment of various neurological disorders, providing valuable insights into the structure and function of the brain. Techn…
Comparative Analysis of Hand-Crafted and Machine-Driven Histopathological Features for Prostate Cancer Classification and Segmentation
Feda Bolus Al Baqain, Omar Sultan Al-Kadi
Histopathological image analysis is a reliable method for prostate cancer identification. In this paper, we present a comparative analysis of two approaches for segmenting glandula…
Comparative Analysis of Deep Convolutional Neural Networks for Detecting Medical Image Deepfakes
Abdel Rahman Alsabbagh, Omar Al-Kadi
Generative Adversarial Networks (GANs) have exhibited noteworthy advancements across various applications, including medical imaging. While numerous state-of-the-art Deep Convoluti…
Learning Style Identification Using Semi-Supervised Self-Taught Labeling
Hani Y. Ayyoub, Omar S. Al-Kadi
Education is a dynamic field that must be adaptable to sudden changes and disruptions caused by events like pandemics, war, and natural disasters related to climate change. When th…
Knowledge Management Systems Requirements Specifications
Omar S. Al-Kadi
In recent years, Knowledge Management Systems (KMS) have drawn remarkable attention. However, there is no common understanding of how a knowledge management system should look like…
An Approach for Time-aware Domain-based Social Influence Prediction
Bilal Abu-Salih, Kit Yan Chan, Omar Al-Kadi +7
Online Social Networks(OSNs) have established virtual platforms enabling people to express their opinions, interests and thoughts in a variety of contexts and domains, allowing leg…
Spatio-Temporal Segmentation in 3D Echocardiographic Sequences using Fractional Brownian Motion
Omar S. Al-Kadi
An important aspect for an improved cardiac functional analysis is the accurate segmentation of the left ventricle (LV). A novel approach for fully-automated segmentation of the LV…
Heterogeneous tissue characterization using ultrasound: a comparison of fractal analysis backscatter models on liver tumors
Omar S. Al-Kadi, Daniel Y. F. Chung, Constantin C. Coussios +1
Assessing tumor tissue heterogeneity via ultrasound has recently been suggested for predicting early response to treatment. The ultrasound backscattering characteristics can assist…
Multiscale Nakagami parametric imaging for improved liver tumor localization
Omar S. Al-Kadi
Effective ultrasound tissue characterization is usually hindered by complex tissue structures. The interlacing of speckle patterns complicates the correct estimation of backscatter…
A Gabor Filter Texture Analysis Approach for Histopathological Brain Tumor Subtype Discrimination
Omar S. Al-Kadi
Meningioma brain tumour discrimination is challenging as many histological patterns are mixed between the different subtypes. In clinical practice, dominant patterns are investigat…
Assessment of texture measures susceptibility to noise in conventional and contrast enhanced computed tomography lung tumour images
Omar Sultan Al-Kadi
Noise is one of the major problems that hinder an effective texture analysis of disease in medical images, which may cause variability in the reported diagnosis. In this paper seve…