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Mahbubunnabi Tamal
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2020 – today
- 2024
- [i3]K. Hameed, Rafidah Zainon, Mahbubunnabi Tamal:
Cadmium Zinc Telluride (CZT) photon counting detector Characterisation for soft tissue imaging. CoRR abs/2401.02106 (2024) - [i2]Mahbubunnabi Tamal, Mohammad Marufur Rahman, Maryam Alhasim, Mobarak Al Mulhim, Mohamed Deriche:
Artificial Intelligence (AI) Based Prediction of Mortality, for COVID-19 Patients. CoRR abs/2403.19355 (2024) - 2023
- [c1]Mahbubunnabi Tamal, Mohamed Deriche:
Selection of Robust Regional Computed Tomography (CT) Radiomics Features for COVID-19 for AI Based Classification. SSD 2023: 356-359 - 2021
- [j3]Mahbubunnabi Tamal
, Maha Alshammari
, Meernah Alabdullah
, Rana Hourani, Hossain Abu Alola, Tarek M. Hegazi
:
An integrated framework with machine learning and radiomics for accurate and rapid early diagnosis of COVID-19 from Chest X-ray. Expert Syst. Appl. 180: 115152 (2021) - [j2]Bushra Alsunaidi, Murad Althobaiti
, Mahbubunnabi Tamal
, Waleed Albaker, Ibraheem Al-Naib
:
A Review of Non-Invasive Optical Systems for Continuous Blood Glucose Monitoring. Sensors 21(20): 6820 (2021) - 2020
- [i1]Mahbubunnabi Tamal:
Positron Emission Tomography (PET) image enhancement using a gradient vector orientation based nonlinear diffusion filter (GVOF) for accurate quantitation of radioactivity concentration. CoRR abs/2006.00273 (2020)
2010 – 2019
- 2019
- [j1]Mahbubunnabi Tamal:
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. J. Medical Imaging Health Informatics 9(9): 2022-2030 (2019)
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