User profiles for Laith Alzubaidi
![]() | Laith AlzubaidiResearch 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
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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. …
image analysis suffers from a lack of sufficient data for training deep learning models. …
Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
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
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 …
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
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 …
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
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 …
may lead to amputation. One of the approaches of DFU treatment depends on the …