User profiles for Laith Alzubaidi

Laith Alzubaidi

Research Fellow, PhD, Queensland University of Technology, Australia
Verified email at qut.edu.au
Cited by 7183

[HTML][HTML] Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

L Alzubaidi, J Zhang, AJ Humaidi, A Al-Dujaili…�- Journal of big Data, 2021 - Springer
In the last few years, the deep learning (DL) computing paradigm has been deemed the Gold
Standard in the machine learning (ML) community. Moreover, it has gradually become the …

[HTML][HTML] Deep learning models for classification of red blood cells in microscopy images to aid in sickle cell anemia diagnosis

L Alzubaidi, MA Fadhel, O Al-Shamma, J Zhang…�- Electronics, 2020 - mdpi.com
Sickle cell anemia, which is also called sickle cell disease (SCD), is a hematological disorder
that causes occlusion in blood vessels, leading to hurtful episodes and even death. The …

[HTML][HTML] A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications

L Alzubaidi, J Bai, A Al-Sabaawi, J Santamar�a…�- Journal of Big Data, 2023 - Springer
Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …

A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion

…, MA Fadhel, A Alnoor, NS Baqer, L Alzubaidi…�- Information�…, 2023 - Elsevier
In the last few years, the trend in health care of embracing artificial intelligence (AI) has
dramatically changed the medical landscape. Medical centres have adopted AI applications to …

[HTML][HTML] Towards a better understanding of transfer learning for medical imaging: a case study

L Alzubaidi, MA Fadhel, O Al-Shamma, J Zhang…�- Applied Sciences, 2020 - mdpi.com
Featured Application The proposed intelligent medical system is applicable for a medical
diagnostic system, especially for the diagnosis of diabetic foot ulcer. Abstract One of the main …

[HTML][HTML] Novel transfer learning approach for medical imaging with limited labeled data

L Alzubaidi, M Al-Amidie, A Al-Asadi, AJ Humaidi…�- Cancers, 2021 - mdpi.com
Deep learning requires a large amount of data to perform well. However, the field of medical
image analysis suffers from a lack of sufficient data for training deep learning models. …

Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements

L Alzubaidi, A Al-Sabaawi, J Bai…�- …�Journal of Intelligent�…, 2023 - Wiley Online Library
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …

A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics

J Bai, T Rabczuk, A Gupta, L Alzubaidi, Y Gu�- Computational Mechanics, 2023 - Springer
Despite its rapid development, Physics-Informed Neural Network (PINN)-based computational
solid mechanics is still in its infancy. In PINN, the loss function plays a critical role that …

[HTML][HTML] Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction

L Alzubaidi, HK Chlaib, MA Fadhel, Y Chen…�- …�Applications of Artificial�…, 2024 - Elsevier
The degree of compaction in the levee building materials is a crucial factor that affects the
piping phenomena. The density and compaction of the soil strata determine the structural …

DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network

L Alzubaidi, MA Fadhel, SR Oleiwi…�- Multimedia Tools and�…, 2020 - Springer
Diabetic Foot Ulcer (DFU) is the main complication of Diabetes, which, if not properly treated,
may lead to amputation. One of the approaches of DFU treatment depends on the …