Automatic working area localization in blood smear microscopic images using machine learning algorithms. - Emad A. Mohammed 001; Behrouz H. Far; Mostafa M. A. Mohamed; Christopher Naugler (BIBM, 2013)

Chronic lymphocytic leukemia cell segmentation from microscopic blood images using watershed algorithm and optimal thresholding. - Emad A. Mohammed 001; Mostafa M. A. Mohamed; Christopher Naugler; Behrouz H. Far (CCECE, 2013)

Application of Support Vector Machine and k-means clustering algorithms for robust chronic lymphocytic leukemia color cell segmentation. - Emad A. Mohammed 001; Behrouz Homayoun Far; Mostafa M. A. Mohamed; Christopher Naugler (Healthcom, 2013)

Applications of the MapReduce programming framework to clinical big data analysis: current landscape and future trends. - Emad A. Mohammed 001; Behrouz Homayoun Far; Christopher Naugler (BioData Min., 2014)

Short-term travel time estimation: A case study. - Emad A. Mohammed 001; Charan Aulakh; Diwakar Krishnamurthy; Christopher T. Naugler; Behrouz H. Far (CCECE, 2015)

Breast tumor classification using a new OWA operator. - Emad A. Mohammed 001; Christopher T. Naugler; Behrouz H. Far (Expert Syst. Appl., 2016)

Analysis of Alternatives and Performance Evaluation Using a New OWA Operator based on the Laplace Distribution. - Emad Mohammed 001 (2016)

Toward leveraging big value from data: chronic lymphocytic leukemia cell classification. - Emad A. Mohammed 001; Mostafa M. A. Mohamed; Christopher Naugler; Behrouz H. Far (Netw. Model. Anal. Health Informatics Bioinform., 2017)

Supervised Machine Learning Algorithms for Credit Card Fraudulent Transaction Detection: A Comparative Study. - Sahil Dhankhad; Emad Mohammed 001; Behrouz H. Far (IRI, 2018)

Visualization of Server Log Data for Detecting Abnormal Behaviour. - Reeta Suman; Behrouz H. Far; Emad A. Mohammed 001; Ashok Nair; Sanaz Janbakhsh (IRI, 2018)

Application of Data Mining Techniques to Predict the Length of Stay of Hospitalized Patients with Diabetes. - Ayman Diyab Alahmar; Emad Mohammed 001; Rachid Benlamri (Innovate-Data, 2018)

A Cluster-Based Machine Learning Model for Large Healthcare Data Analysis. - Fatemeh Sharifi; Emad Mohammed 001; Trafford Crump; Behrouz H. Far (Innovate-Data, 2019)

TentNet: Deep Learning Tent Detection Algorithm Using A Synthetic Training Approach. - Andrew Fisher 002; Emad A. Mohammed 001; Vijay Mago (SMC, 2020)

A Method for Alternatives Ranking Using an OWA Operator Based on the Laplace Distribution. - Emad A. Mohammed 001; Christopher T. Naugler; Behrouz H. Far (SMC, 2020)

A Traditional Machine Learning Approach for COVID-19 Detection from CT Images. - Sultanul Kabir; Emad A. Mohammed 001; Khobaib Zaamout; Salama Ikki (DASC/PiCom/CBDCom/CyberSciTech, 2021)

Exploring Features Contributing to the Early Prediction of Sepsis Using Machine Learning. - Esmaeil Shakeri; Emad A. Mohammed 001; Zahra Shakeri Hossein Abad; Behrouz Homayoun Far (EMBC, 2021)

Important Features Identification for Prostate Cancer Patients Stratification Using Isolation Forest and Interactive Clustering Method. - Emad A. Mohammed 001; Esmaeil Shakeri; Zahra Shakeri Hossein Abad; Trafford Crump; Behrouz H. Far (IRI, 2021)

Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images. - Kuo Yang; Emad A. Mohammed 001; Behrouz H. Far (IRI, 2021)

A Review of Artificial Intelligence Technologies for Early Prediction of Alzheimer's Disease. - Kuo Yang; Emad A. Mohammed 001 (CoRR, 2021)

Dynamic and Systematic Survey of Deep Learning Approaches for Driving Behavior Analysis. - Farid Talebloo; Emad A. Mohammed 001; Behrouz H. Far (CoRR, 2021)

Deep Learning Approach for Aggressive Driving Behaviour Detection. - Farid Talebloo; Emad A. Mohammed 001; Behrouz H. Far (CoRR, 2021)

Explainable Analytics to Predict the Quality of Life in Patients with Prostate Cancer from Longitudinal Data. - Fatemeh Sharifi; Emad Mohammed 001; Trafford Crump; Behrouz H. Far (Appl. Artif. Intell., 2022)

Deep Learning-Based Detection and Classification of Uveal Melanoma Using Convolutional Neural Networks and SHAP Analysis. - Esmaeil Shakeri; Emad Mohammed 001; Trafford Crump; Ezekiel Weis; Carol L. Shields; Sandor R. Ferenczy; Behrouz H. Far (IRI, 2023)

Explaining Eye Diseases Detected by Machine Learning Using SHAP: A Case Study of Diabetic Retinopathy and Choroidal Nevus. - Esmaeil Shakeri; Trafford Crump; Ezekiel Weis; Emad Mohammed 001; Roberto Souza 001; Behrouz H. Far (SN Comput. Sci., 2023)

Enhancing Choroidal Nevus Position Identification through CNN-Based Segmentation of Eye Fundus Images. - Mohammadmahdi Eshragh; Emad A. Mohammed 001; Behrouz H. Far; Trafford Crump; Ezekiel Weis (EMBC, 2024)

Real-Time Plant Disease Detection Using YOLOv8 on a Low Resources Device. - Usama Mohiuddin; Emad Mohammed 001 (Canadian AI, 2025)

Transfer Learning for Multi-Lead ECG Analysis in Cardiac Arrest Risk Classification. - Zahra Safari; Emad Mohammed 001; Behrouz H. Far (Canadian AI, 2025)

Improving Patient-Clinical Trial Matching Using Convolution Neural Networks. - Yousif Salman; Emad Mohammed 001; Cassandra Hui (Canadian AI, 2025)