Conscious vs. subconscious perception, as a function of radiological expertise. - Mohammad A. Alzubaidi; John A. Black Jr.; Ameet Patel; Sethuraman Panchanathan (CBMS, 2009)

What catches a radiologist's eye? A comprehensive comparison of feature types for saliency prediction. - Mohammad A. Alzubaidi; Vineeth N. Balasubramanian; Ameet Patel; Sethuraman Panchanathan; John A. Black Jr. (Computer-Aided Diagnosis, 2010)

Toward the detection of abnormal chest radiographs the way radiologists do it. - Mohammad A. Alzubaidi; Ameet Patel; Sethuraman Panchanathan; John A. Black Jr. (Computer-Aided Diagnosis, 2011)

Efficient atypicality detection in chest radiographs. - Mohammad A. Alzubaidi; Vineeth Nallure Balasubramanian; Ameet Patel; Sethuraman Panchanathan; John A. Black Jr. (ISSPA, 2012)

A novel semi-transductive learning framework for efficient atypicality detection in chest radiographs. - Mohammad A. Alzubaidi; Vineeth N. Balasubramanian; Ameet Patel; Sethuraman Panchanathan; John A. Black Jr. (Computer-Aided Diagnosis, 2012)

A novel online Variance Based Instance Selection (VBIS) method for efficient atypicality detection in chest radiographs. - Mohammad A. Alzubaidi; Vineeth N. Balasubramanian; Ameet Patel; Sethuraman Panchanathan; John A. Black Jr. (Image Processing, 2012)

Computational Methods for Perceptual Training in Radiology. - Mohammad A. Alzubaidi (2012)

Scalable and Dynamic Global Power Management for Multicore Chips. - Mwaffaq Otoom; Pedro Trancoso; Hisham M. Almasaeid; Mohammad A. Alzubaidi (PARMA-DITAM@HiPEAC, 2015)

Parallel scheme for real-time detection of photosensitive seizures. - Mohammad A. Alzubaidi; Mwaffaq Otoom; Abdel-Karim Al-Tamimi (Comput. Biol. Medicine, 2016)

A new strategy for bridging the semantic gap in image retrieval. - Mohammad A. Alzubaidi (Int. J. Comput. Sci. Eng., 2017)

Novel Framework for Designing Representative Usage-Based Benchmarks for Smartphones. - Mwaffaq Otoom; Mohammad A. Alzubaidi; Nesreen A. Otoum (IEEE Trans. Consumer Electron., 2018)

An IoT-based framework for early identification and monitoring of COVID-19 cases. - Mwaffaq Otoom; Nesreen A. Otoum; Mohammad A. Alzubaidi; Yousef Etoom; Rudaina Banihani (Biomed. Signal Process. Control., 2020)

A comprehensive study on feature types for osteoporosis classification in dental panoramic radiographs. - Mohammad A. Alzubaidi; Mwaffaq Otoom (Comput. Methods Programs Biomed., 2020)

Comprehensive and Comparative Global and Local Feature Extraction Framework for Lung Cancer Detection Using CT Scan Images. - Mohammad A. Alzubaidi; Mwaffaq Otoom; Hamza Jaradat (IEEE Access, 2021)

A novel computational method for assigning weights of importance to symptoms of COVID-19 patients. - Mohammad A. Alzubaidi; Mwaffaq Otoom; Nesreen A. Otoum; Yousef Etoom; Rudaina Banihani (Artif. Intell. Medicine, 2021)

Real-time Assistive Reader Pen for Arabic Language. - Mohammad A. Alzubaidi; Mwaffaq Otoom; Nouran S. Ahmad (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021)

A Novel Human-Vehicle Interaction Assistive Device for Arab Drivers Using Speech Recognition. - Ghadeer A. Jaradat; Mohammad A. Alzubaidi; Mwaffaq Otoom (IEEE Access, 2022)

Detecting Arabic Spam Reviews in Social Networks Based on Classification Algorithms. - Hassan Najadat; Mohammad A. Alzubaidi; Islam Qarqaz (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022)

A Novel Social Interaction Assistive Device for Arab Deaf People. - Mwaffaq Otoom; Mohammad A. Alzubaidi; Lina Nasr Abd Al-Raziq (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022)

A Novel Assistive Glove to Convert Arabic Sign Language into Speech. - Mohammad A. Alzubaidi; Mwaffaq Otoom; Areen M. Abu Rwaq (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

COVID-19 CT-images diagnosis and severity assessment using machine learning algorithm. - Zaid Albataineh; Fatima Aldrweesh; Mohammad A. Alzubaidi (Clust. Comput., 2024)

Predicting breast cancer treatment response using transfer learning. - Mwaffaq Otoom; Mohammad A. Alzubaidi; Qais H. A. Al-Azzam (Neural Comput. Appl., 2025)