92 citations · 130 across the 9 of their papers we have counts for
5 papers · 1 filter
VGS-ATD: Robust Distributed Learning for Multi-Label Medical Image Classification Under Heterogeneous and Imbalanced Conditions
Zehui Zhao, Laith Alzubaidi, Haider A. Alwzwazy +2
In recent years, advanced deep learning architectures have shown strong performance in medical imaging tasks. However, the traditional centralized learning paradigm poses serious p…
A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos
Sabah Abdulazeez Jebur, Khalid A. Hussein, Haider Kadhim Hoomod +3
Anomaly detection in videos is challenging due to the complexity, noise, and diverse nature of activities such as violence, shoplifting, and vandalism. While deep learning (DL) has…
Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang +3
Deep learning has significantly advanced automatic medical diagnostics and released the occupation of human resources to reduce clinical pressure, yet the persistent challenge of d…
Transfer or Self-Supervised? Bridging the Performance Gap in Medical Imaging
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang +3
Recently, transfer learning and self-supervised learning have gained significant attention within the medical field due to their ability to mitigate the challenges posed by limited…
MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks
Laith Alzubaidi, J. Santamaría, Mohamed Manoufali +6
Deep Learning (DL) requires a large amount of training data to provide quality outcomes. However, the field of medical imaging suffers from the lack of sufficient data for properly…