Saeed Shurrab

New York University Abu Dhabi · Computer Engineering Department

Retina disorders are among the common types of eye disease that occur due to several reasons such as aging, diabetes and premature born. Besides, Optical Coherence Tomography (OCT) is a medical imaging method that serves as a vehicle for capturing volumetric scans of the human eye retina for diagnoses purposes. This research compared two pretrainin...

The scarcity of high-quality annotated medical imaging datasets is a major problem that collides with machine learning applications in the field of medical imaging analysis and impedes its advancement. Self-supervised learning is a recent training paradigm that enables learning robust representations without the need for human annotation which can...

Annotated medical data scarcity is a major problem confronted by researchers in the field of deep learning. This is because deep learning models require large amounts of high-quality annotated medical data to develop accurate models. However, developing such datasets is an expensive and time-consuming operation that requires specialized medical exp...

Background: Cancer is a major public health problem and is the second leading cause of death around the world. The incidence rates of some cancer types rise dramatically with certain risk factors, a fact that is exemplified by the high susceptibility to lung cancer as a result of tobacco smoking. The frame of cancer as a preventable disease and th...

The availability of high quality annotated medical imaging datasets is a major problem that collides with machine learning applications in the field of medical imaging analysis and impedes its advancement. Self-supervised learning is a recent training paradigm that enables learning robust representations without the need for human annotation which...

Missing data is a common problem confronted by researchers in machine learning applications. Missing values affect both the performance of analysis tools, as well as the quality of the drawn decisions. This research aims to analyze the impact of four missing data treatment methods on the predictive accuracy of the C4.5 decision tree algorithm. It a...

USA is among the countries that have been considerably affected by the COVID-19 to contain the largest proportion of cases globally. This research aims at investigating the American Community opinions polarity toward the outbreak of the virus in the US throughout twitter social media platform. Further, a topic modeling approach was employed to gain...

Tool life and tool wear contribute significantly to any machining activity and directly affect the quality of the machined part, machining device performance as well as the production rates and costs. This research aims to investigate the performance of six supervised learning algorithms in predicting the cutting tool condition in Computer Numerica...