68 citations
- École de Technologie SupérieureCA4 papers
- RMIT UniversityAU4 papers
- Taibah UniversitySA4 papers
- Anhui UniversityCN3 papers
- ARC Centre of Excellence in Future Low-Energy Electronics TechnologiesAU3 papers
- Cairo UniversityEG3 papers
- Chinese Academy of SciencesCN3 papers
- Guilin University of Electronic TechnologyCN3 papers
- Hefei Institutes of Physical ScienceCN3 papers
- High Magnetic Field LaboratoryCN3 papers
- King Abdulaziz UniversitySA3 papers
- The University of Western AustraliaAU3 papers
5 papers · 1 filter
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…
Hybrid LLM-Enhanced Intrusion Detection for Zero-Day Threats in IoT Networks
Mohammad F. Al-Hammouri, Yazan Otoum, Rasha Atwa +1
This paper presents a novel approach to intrusion detection by integrating traditional signature-based methods with the contextual understanding capabilities of the GPT-2 Large Lan…
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…
FAA-CLIP: Federated Adversarial Adaptation of CLIP
Yihang Wu, Ahmad Chaddad, Christian Desrosiers +2
Despite the remarkable performance of vision language models (VLMs) such as Contrastive Language Image Pre-training (CLIP), the large size of these models is a considerable obstacl…