publications

2025

1. Deep Modeling and Optimization of Medical Image Classification

   Yihang Wu, Muhammad Owais, Reem Kateb, and 1 more author

   In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI), 2025
2. A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models

   Yuchen Jiang, Xinyuan Zhao, Yihang Wu, and 1 more author

   In Proceedings of the AAAI Conference on Artificial Intelligence, 2025
3. Classification based deep learning models for lung cancer and disease using medical images

   Ahmad Chaddad, Jihao Peng, and Yihang Wu

   IEEE Transactions on Radiation and Plasma Medical Sciences, 2025
4. SEMI-Supervised Medical Image Segmentation via Dual Networks

   Yunyao Lu, Yihang Wu, Reem Kateb, and 1 more author

   In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI), 2025
5. FAA-CLIP: Federated Adversarial Adaptation of CLIP

   Yihang Wu, Ahmad Chaddad, Christian Desrosiers, and 2 more authors

   IEEE Internet of Things Journal, 2025

   DOI
6. Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification

   Ahmad Chaddad, Yihang Wu, Yuchen Jiang, and 2 more authors

   IEEE Transactions on Instrumentation and Measurement, 2025
7. Domain adaptation techniques for natural and medical image classification

   Ahmad Chaddad, Yihang Wu, Reem Kateb, and 1 more author

   Information Sciences, 2025
8. Enhancing Dual Network Based Semi-Supervised Medical Image Segmentation with Uncertainty-Guided Pseudo-Labeling

   Yunyao Lu, Yihang Wu, Ahmad Chaddad, and 2 more authors

   Knowledge-Based Systems, 2025
9. Towards a transparent and interpretable AI model for medical image classifications

   Binbin Wen, Yihang Wu, Tareef Daqqaq, and 1 more author

   Cognitive Neurodynamics, 2025

2024

1. Facmic: Federated adaptative clip model for medical image classification

   Yihang Wu, Christian Desrosiers, and Ahmad Chaddad

   In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024
2. Generalizable and explainable deep learning for medical image computing: An overview

   Ahmad Chaddad, Yan Hu, Yihang Wu, and 2 more authors

   Current Opinion in Biomedical Engineering, 2024

2023

1. Electroencephalography signal processing: A comprehensive review and analysis of methods and techniques

   Ahmad Chaddad, Yihang Wu, Reem Kateb, and 1 more author

   Sensors, 2023
2. Federated learning for healthcare applications

   Ahmad Chaddad, Yihang Wu, and Christian Desrosiers

   IEEE Internet of Things Journal, 2023
3. Enhancing Classification Tasks through Domain Adaptation Strategies

   Ahmad Chaddad and Yihang Wu

   In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023
4. Domain Adaptation in Machine Learning: A Practical Simulation Study

   Ahmad Chaddad and Yihang Wu

   In 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI), 2023
5. A Practical Simulation for Domain Adaptation Models

   Ahmad Chaddad and Yihang Wu

   In 2023 IEEE International Conference on E-health Networking, Application & Services (Healthcom), 2023
6. Building a Better Metaverse: How Federated Learning is Revolutionizing Virtual Worlds

   Ahmad Chaddad, Yihang Wu, and Reem Kateb

   In 2023 IEEE International Conference on E-health Networking, Application & Services (Healthcom), 2023