A Fully Automatic Global Gradient Measure Based 3D Region Growing Solid Tumour Segmentation Method (3D-GGM-RG) for Low Contrast and Low Count Positron Emission Tomography. - Mahbubunnabi Tamal (J. Medical Imaging Health Informatics, 2019)

Positron Emission Tomography (PET) image enhancement using a gradient vector orientation based nonlinear diffusion filter (GVOF) for accurate quantitation of radioactivity concentration. - Mahbubunnabi Tamal (CoRR, 2020)

An integrated framework with machine learning and radiomics for accurate and rapid early diagnosis of COVID-19 from Chest X-ray. - Mahbubunnabi Tamal; Maha Alshammari; Meernah Alabdullah; Rana Hourani; Hossain Abu Alola; Tarek M. Hegazi (Expert Syst. Appl., 2021)

A Review of Non-Invasive Optical Systems for Continuous Blood Glucose Monitoring. - Bushra Alsunaidi; Murad Althobaiti; Mahbubunnabi Tamal; Waleed Albaker; Ibraheem Al-Naib (Sensors, 2021)

Selection of Robust Regional Computed Tomography (CT) Radiomics Features for COVID-19 for AI Based Classification. - Mahbubunnabi Tamal; Mohamed Deriche 001 (SSD, 2023)

Cadmium Zinc Telluride (CZT) photon counting detector Characterisation for soft tissue imaging. - K. Hameed; Rafidah Zainon; Mahbubunnabi Tamal (CoRR, 2024)

Artificial Intelligence (AI) Based Prediction of Mortality, for COVID-19 Patients. - Mahbubunnabi Tamal; Mohammad Marufur Rahman; Maryam Alhasim; Mobarak Al Mulhim; Mohamed Deriche 001 (CoRR, 2024)