| 2026 | AAAI | Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification. | Yihang Wu, Ahmad Chaddad |
| 2025 | AAAI | A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models. | Yuchen Jiang, Xinyuan Zhao, Yihang Wu, Ahmad Chaddad |
| 2025 | ICASSP | SHAP-Integrated Convolutional Diagnostic Networks for Feature-Selective Medical Analysis. | Yan Hu, Ahmad Chaddad |
| 2025 | IJCNN | ABRMS-Net: An Attention-Based Residual Multi-Scale CNN for image classification. | Pingyue Jia, Yan Hu, Binbin Wen, Xianrui Chen, Ahmad Chaddad |
| 2025 | IJCNN | A Model-Based Federated Semi-Supervised Learning. | Binbin Wen, Yan Hu, Ahmad Chaddad |
| 2025 | SMC | Performance Evaluation of the CLIP Model in Classification Tasks. | Yuxin Gao, Baosheng Qin, Fenglian Chen, Xiaohan Huang, Jiajun Wu, Yihang Wu, Ahmad Chaddad |
| 2025 | SMC | Analyzing the Calibration of CLIP Models Under Noisy Data Conditions. | Yuxin Gao, Yihang Wu, Ahmad Chaddad |
| 2025 | SMC | Medical Image Segmentation Using Deep Learning and Transformers. | Yunyao Lu, Ahmad Chaddad |
| 2025 | SMC | Impact of domain adaptation in deep learning for medical image classifications. | Yihang Wu, Ahmad Chaddad |
| 2025 | SMC | Denoising Near-Infrared Spectroscopy Signal. | Yue Yin, Runze Li, Yan Hu, Ahmad Chaddad |
| 2024 | MICCAI | FACMIC: Federated Adaptative CLIP Model for Medical Image Classification. | Yihang Wu, Christian Desrosiers, Ahmad Chaddad |
| 2023 | BIBE | Acceleration of Convolutional Neural Networks. | Ahmad Chaddad |
| 2023 | BIBE | ChatGPT: An Artificial Intelligence-Based Approach to Enhance Medical Applications. | Ahmad Chaddad, Changhong He, Yuchen Jiang |
| 2023 | BIBE | Medical Metaverse: A New Virtual Health Experience. | Ahmad Chaddad, Yuchen Jiang |
| 2023 | BIBE | Boosting Classification Tasks with Federated Learning: Concepts, Experiments and Perspectives. | Yan Hu, Ahmad Chaddad |
| 2023 | HealthCom | Stability in Radiomics Analysis: Advancements and Challenges. | Ahmad Chaddad |
| 2023 | HealthCom | A Comprehensive Analysis of Lung Sound Signals. | Ahmad Chaddad |
| 2023 | HealthCom | OpenAI ChatGPT: A Potential Medical Application. | Ahmad Chaddad, Yuchen Jiang, Changhong He |
| 2023 | HealthCom | A Practical Simulation for Domain Adaptation Models. | Ahmad Chaddad, Yihang Wu |
| 2023 | HealthCom | Radiomics for a Comprehensive Assessment of Glioblastoma Multiforme. | Ahmad Chaddad, Yue Wang, Junjie Feng |
| 2023 | HealthCom | Building a Better Metaverse: How Federated Learning is Revolutionizing Virtual Worlds. | Ahmad Chaddad, Yihang Wu, Reem Kateb |
| 2023 | HealthCom | Potential of Federated Learning in Healthcare. | Yan Hu, Ahmad Chaddad |
| 2023 | HealthCom | The Use of Explainable Artificial Intelligence in Medicine. | Binbin Wen, Ahmad Chaddad |
| 2023 | ICTAI | Domain Adaptation in Machine Learning: A Practical Simulation Study. | Ahmad Chaddad, Yihang Wu |
| 2021 | DEXA | AutoEncoder for Neuroimage. | Mingli Zhang, Fan Zhang, Jianxin Zhang, Ahmad Chaddad, Fenghua Guo, Wenbin Zhang, Ji Zhang, Alan C. Evans |
| 2020 | DEXA | Deep Discriminative Learning for Autism Spectrum Disorder Classification. | Mingli Zhang, Xin Zhao, Wenbin Zhang, Ahmad Chaddad, Alan C. Evans, Jean-Baptiste Poline |
| 2019 | MICCAI | Deep Radiomic Features from MRI Scans Predict Survival Outcome of Recurrent Glioblastoma. | Ahmad Chaddad, Mingli Zhang, Christian Desrosiers, Tamim Niazi |
| 2019 | MICCAI | Imaging Signature of 1p/19q Co-deletion Status Derived via Machine Learning in Lower Grade Glioma. | Saima Rathore, Ahmad Chaddad, Nadeem Haider Bukhari, Tamim Niazi |
| 2016 | ICIP | Multispectral texture analysis of histopathological abnormalities in colorectal tissues. | Ahmad Chaddad, Christian Desrosiers, Lama Hassan, Matthew Toews |
| 2016 | ICPR | Spatially constrained sparse regression for the data-driven discovery of Neuroimaging biomarkers. | Kuldeep Kumar, Christian Desrosiers, Ahmad Chaddad, Matthew Toews |
| 2014 | CISS | Brain function evaluation using enhanced fNIRS signals extraction. | Ahmad Chaddad |
| 2014 | CISS | Brain tumor identification using Gaussian Mixture Model features and Decision Trees classifier. | Ahmad Chaddad, Pascal O. Zinn, Rivka R. Colen |
| 2014 | CoDIT | Low-noise transimpedance amplifier dedicated to biomedical devices: Near infrared spectroscopy system. | Ahmad Chaddad, Camel Tanougast |
| 2014 | CoDIT | Quantitative texture analysis for Glioblastoma phenotypes discrimination. | Ahmad Chaddad, Pascal O. Zinn, Rivka R. Colen |
| 2014 | CoDIT | Segmentation of abnormal cells by using level set model. | Hawraa Haj-Hassan, Ahmad Chaddad, Camel Tanougast, Youssef Harkouss |
| 2014 | CoDIT | Survival analysis of pre-operative GBM patients by using quantitative image features. | Pattana Wangaryattawanich, Jixin Wang, Ginu A. Thomas, Ahmad Chaddad, Pascal O. Zinn, Rivka R. Colen |