338 citations
- National Research Institute of Astronomy and GeophysicsEG16 papers
- École de Technologie SupérieureCA6 papers
- Guilin University of Electronic TechnologyCN6 papers
- University of JeddahSA6 papers
- King Abdulaziz City for Science and TechnologySA5 papers
- Nihon UniversityJP5 papers
- University of Technology MalaysiaMY5 papers
- GLA UniversityIN4 papers
- Imam Mohammad ibn Saud Islamic UniversitySA4 papers
- Tunis El Manar UniversityTN4 papers
- Al Madinah International UniversityMY3 papers
- Centre National de la Recherche ScientifiqueFR3 papers
8 papers · 1 filter
Towards a Transparent and Interpretable AI Model for Medical Image Classifications
Binbin Wen, Yihang Wu, Tareef Daqqaq +1
The integration of artificial intelligence (AI) into medicine is remarkable, offering advanced diagnostic and therapeutic possibilities. However, the inherent opacity of complex AI…
Enhancing Dual Network Based Semi-Supervised Medical Image Segmentation with Uncertainty-Guided Pseudo-Labeling
Yunyao Lu, Yihang Wu, Ahmad Chaddad +2
Despite the remarkable performance of supervised medical image segmentation models, relying on a large amount of labeled data is impractical in real-world situations. Semi-supervis…
Domain Adaptation Techniques for Natural and Medical Image Classification
Ahmad Chaddad, Yihang Wu, Reem Kateb +1
Domain adaptation (DA) techniques have the potential in machine learning to alleviate distribution differences between training and test sets by leveraging information from source…
Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview
Ahmad Chaddad, Yan Hu, Yihang Wu +2
Objective. This paper presents an overview of generalizable and explainable artificial intelligence (XAI) in deep learning (DL) for medical imaging, aimed at addressing the urgent…
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
Ahmad Chaddad, Qizong lu, Jiali Li +5
Artificial intelligence (AI) continues to transform data analysis in many domains. Progress in each domain is driven by a growing body of annotated data, increased computational re…
Toward Robust Image Classification
Basemah Alshemali, Alta Graham, Jugal Kalita
Neural networks are frequently used for image classification, but can be vulnerable to misclassification caused by adversarial images. Attempts to make neural network image classif…