Ahmad Chaddad - RankMe

113 papers A* 2B 11C 16Misc 3Journal 57Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Modeling and Interpretation for Bladder Cancer Classification. CoRR Ahmad Chaddad, Yihang Wu, Xianrui Chen
2026	J	`jnl`	FSSL-UC: Federated Semi-Supervised Learning Model With Uncertainty and Consistency. IEEE Internet Things J. Ahmad Chaddad, Muhammad Owais, Yunyao Lu, Binbin Wen, Sarah A. Alkhodair, Reem Kateb
2026	J	`jnl`	FedCLIPOT: Federated CLIP model via parameter reusing and optimal transport. Inf. Fusion Yihang Wu, Ahmad Chaddad, Sarah A. Alkhodair, Tareef S. Daqqaq, Reem Kateb
2026	A*	`conf`	Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification. AAAI Yihang Wu, Ahmad Chaddad
2026	J	`jnl`	Federated Vision Transformer with Adaptive Focal Loss for Medical Image Classification. CoRR Xinyuan Zhao, Yihang Wu, Ahmad Chaddad, Tareef S. Daqqaq, Reem Kateb
2026	J	`jnl`	Federated vision transformer with adaptive focal loss for medical image classification. Knowl. Based Syst. Xinyuan Zhao, Yihang Wu, Ahmad Chaddad, Tareef S. Daqqaq, Reem Kateb
2026	J	`jnl`	GazeFormer-MoE: Context-Aware Gaze Estimation via CLIP and MoE Transformer. CoRR Xinyuan Zhao, Xianrui Chen, Ahmad Chaddad
2026	J	`jnl`	Impact of domain adaptation in deep learning for medical image classifications. CoRR Yihang Wu, Ahmad Chaddad
2025	A*	`conf`	A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models. AAAI Yuchen Jiang, Xinyuan Zhao, Yihang Wu, Ahmad Chaddad
2025	J	`jnl`	A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models. CoRR Yuchen Jiang, Xinyuan Zhao, Yihang Wu, Ahmad Chaddad
2025	B	`conf`	A Model-Based Federated Semi-Supervised Learning. IJCNN Binbin Wen, Yan Hu, Ahmad Chaddad
2025	B	`conf`	ABRMS-Net: An Attention-Based Residual Multi-Scale CNN for image classification. IJCNN Pingyue Jia, Yan Hu, Binbin Wen, Xianrui Chen, Ahmad Chaddad
2025	B	`conf`	Analyzing the Calibration of CLIP Models Under Noisy Data Conditions. SMC Yuxin Gao, Yihang Wu, Ahmad Chaddad
2025	J	`jnl`	Classification based deep learning models for lung cancer and disease using medical images. CoRR Ahmad Chaddad, Jihao Peng, Yihang Wu
2025	—	`conf`	De-Noising of EEG Signals with Non-Physiological Noise. BIBM Yibo Lu, Yufei Liu, Xinyuan Zhao, Ahmad Chaddad
2025	—	`conf`	Deep Modeling and Optimization of Medical Image Classification. ISBI Yihang Wu, Muhammad Owais, Reem Kateb, Ahmad Chaddad
2025	J	`jnl`	Deep Modeling and Optimization of Medical Image Classification. CoRR Yihang Wu, Muhammad Owais, Reem Kateb, Ahmad Chaddad
2025	J	`jnl`	Deep Radiomics for Autism Diagnosis and Age Prediction. IEEE Trans. Hum. Mach. Syst. Ahmad Chaddad
2025	B	`conf`	Denoising Near-Infrared Spectroscopy Signal. SMC Yue Yin, Runze Li, Yan Hu, Ahmad Chaddad
2025	J	`jnl`	Domain Adaptation Techniques for Natural and Medical Image Classification. CoRR Ahmad Chaddad, Yihang Wu, Reem Kateb, Christian Desrosiers
2025	J	`jnl`	Domain adaptation techniques for natural and medical image classification. Inf. Sci. Ahmad Chaddad, Yihang Wu, Reem Kateb, Christian Desrosiers
2025	J	`jnl`	EAMAPG: Explainable Adversarial Model Analysis via Projected Gradient Descent. Comput. Biol. Medicine Ahmad Chaddad, Yuchen Jiang, Tareef S. Daqqaq, Reem Kateb
2025	J	`jnl`	Enhancing Dual Network Based Semi-Supervised Medical Image Segmentation with Uncertainty-Guided Pseudo-Labeling. CoRR Yunyao Lu, Yihang Wu, Ahmad Chaddad, Tareef S. Daqqaq, Reem Kateb
2025	—	`conf`	Enhancing Large Language Model Fine-Tuning with Sharpness-Aware Minimization Under Split Federated Learning. ICIC (9) Benying Tan, Jie Ren, Yujie Li, Shuxue Ding, Ahmad Chaddad
2025	J	`jnl`	Enhancing dual network based semi-supervised medical image segmentation with uncertainty-guided pseudo-labeling. Knowl. Based Syst. Yunyao Lu, Yihang Wu, Ahmad Chaddad, Tareef S. Daqqaq, Reem Kateb
2025	J	`jnl`	FAA-CLIP: Federated Adversarial Adaptation of CLIP. CoRR Yihang Wu, Ahmad Chaddad, Christian Desrosiers, Tareef S. Daqqaq, Reem Kateb
2025	J	`jnl`	FAA-CLIP: Federated Adversarial Adaptation of CLIP. IEEE Internet Things J. Yihang Wu, Ahmad Chaddad, Christian Desrosiers, Tareef S. Daqqaq, Reem Kateb
2025	J	`jnl`	Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification. CoRR Yihang Wu, Ahmad Chaddad
2025	J	`jnl`	Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview. CoRR Ahmad Chaddad, Yan Hu, Yihang Wu, Binbin Wen, Reem Kateb
2025	B	`conf`	Impact of domain adaptation in deep learning for medical image classifications. SMC Yihang Wu, Ahmad Chaddad
2025	—	`conf`	Indoor Object Detection with Feature Fusion and Feature Learning. CSAI Siliang Su, Renchen Feng, Yujie Li, Ahmad Chaddad
2025	J	`jnl`	Integrating Technologies in the Metaverse for Enhanced Healthcare and Medical Education. IEEE Trans. Learn. Technol. Ahmad Chaddad, Yuchen Jiang
2025	B	`conf`	Medical Image Segmentation Using Deep Learning and Transformers. SMC Yunyao Lu, Ahmad Chaddad
2025	B	`conf`	Performance Evaluation of the CLIP Model in Classification Tasks. SMC Yuxin Gao, Baosheng Qin, Fenglian Chen, Xiaohan Huang, Jiajun Wu, Yihang Wu, Ahmad Chaddad
2025	—	`conf`	SEMI-Supervised Medical Image Segmentation via Dual Networks. ISBI Yunyao Lu, Yihang Wu, Reem Kateb, Ahmad Chaddad
2025	Misc	`conf`	SHAP-Integrated Convolutional Diagnostic Networks for Feature-Selective Medical Analysis. ICASSP Yan Hu, Ahmad Chaddad
2025	J	`jnl`	SHAP-Integrated Convolutional Diagnostic Networks for Feature-Selective Medical Analysis. CoRR Yan Hu, Ahmad Chaddad
2025	J	`jnl`	Semi-Supervised Medical Image Segmentation via Dual Networks. CoRR Yunyao Lu, Yihang Wu, Reem Kateb, Ahmad Chaddad
2025	—	`conf`	Simulation-Based Analysis of EEG Denoising Techniques. BIBM Mingyuan Tang, Wenxuan Deng, Muhammad Owais, Ahmad Chaddad
2025	J	`jnl`	Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification. CoRR Ahmad Chaddad, Yihang Wu, Yuchen Jiang, Ahmed Bouridane, Christian Desrosiers
2025	J	`jnl`	Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification. IEEE Trans. Instrum. Meas. Ahmad Chaddad, Yihang Wu, Yuchen Jiang, Ahmed Bouridane, Christian Desrosiers
2025	J	`jnl`	Towards a Transparent and Interpretable AI Model for Medical Image Classifications. CoRR Binbin Wen, Yihang Wu, Tareef S. Daqqaq, Ahmad Chaddad
2024	—	`conf`	FACMIC: Federated Adaptative CLIP Model for Medical Image Classification. MICCAI (12) Yihang Wu, Christian Desrosiers, Ahmad Chaddad
2024	J	`jnl`	FACMIC: Federated Adaptative CLIP Model for Medical Image Classification. CoRR Yihang Wu, Christian Desrosiers, Ahmad Chaddad
2024	J	`jnl`	Federated Learning for Healthcare Applications. IEEE Internet Things J. Ahmad Chaddad, Yihang Wu, Christian Desrosiers
2024	—	`conf`	Reinforcement Learning for Enhancing Classifier Performance. BIBM Ahmad Chaddad, Yuchen Jiang, Jianjie Ou
2024	—	`conf`	Reinforcement Learning for Medical Image Classification Based on Deep Deterministic Policy Gradients. ISBI Ahmad Chaddad, Yuchen Jiang
2023	C	`conf`	A Comprehensive Analysis of Lung Sound Signals. HealthCom Ahmad Chaddad
2023	—	`conf`	A One-Dimensional Convolutional Neural Network Model for Predicting the Survival Outcome of Coronavirus Disease 2019. ISBI Ahmad Chaddad, Yousef Katib, Camel Tanougast
2023	C	`conf`	A Practical Simulation for Domain Adaptation Models. HealthCom Ahmad Chaddad, Yihang Wu
2023	J	`jnl`	A texture-based method for predicting molecular markers and survival outcome in lower grade glioma. Appl. Intell. Ahmad Chaddad, Lama Hassan, Yousef Katib
2023	C	`conf`	Acceleration of Convolutional Neural Networks. BIBE Ahmad Chaddad
2023	—	`conf`	Advances in MRI-Based Radiomics for Prostate Cancer. ISBI Ahmad Chaddad, Yousef Katib, Camel Tanougast
2023	C	`conf`	Boosting Classification Tasks with Federated Learning: Concepts, Experiments and Perspectives. BIBE Yan Hu, Ahmad Chaddad
2023	C	`conf`	Building a Better Metaverse: How Federated Learning is Revolutionizing Virtual Worlds. HealthCom Ahmad Chaddad, Yihang Wu, Reem Kateb
2023	J	`jnl`	CNN Approach for Predicting Survival Outcome of Patients With COVID-19. IEEE Internet Things J. Ahmad Chaddad, Camel Tanougast
2023	C	`conf`	ChatGPT: An Artificial Intelligence-Based Approach to Enhance Medical Applications. BIBE Ahmad Chaddad, Changhong He, Yuchen Jiang
2023	B	`conf`	Domain Adaptation in Machine Learning: A Practical Simulation Study. ICTAI Ahmad Chaddad, Yihang Wu
2023	J	`jnl`	Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques. Sensors Ahmad Chaddad, Yihang Wu, Reem Kateb, Ahmed Bouridane
2023	—	`conf`	Enhancing Classification Tasks through Domain Adaptation Strategies. BIBM Ahmad Chaddad, Yihang Wu
2023	J	`jnl`	Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine. IEEE CAA J. Autom. Sinica Ahmad Chaddad, Qizong Lu, Jiali Li, Yousef Katib, Reem Kateb, Camel Tanougast, Ahmed Bouridane, Ahmed Abdulkadir
2023	J	`jnl`	Imaging phenotypes predict overall survival in glioma more accurate than basic demographic and cell mutation profiles. Comput. Methods Programs Biomed. Saima Rathore, Muhammad Aksam Iftikhar, Ahmad Chaddad, Ashish Singh, Zeeshan Gillani, Ahmed Abdulkadir
2023	C	`conf`	Medical Metaverse: A New Virtual Health Experience. BIBE Ahmad Chaddad, Yuchen Jiang
2023	C	`conf`	OpenAI ChatGPT: A Potential Medical Application. HealthCom Ahmad Chaddad, Yuchen Jiang, Changhong He
2023	C	`conf`	Potential of Federated Learning in Healthcare. HealthCom Yan Hu, Ahmad Chaddad
2023	C	`conf`	Radiomics for a Comprehensive Assessment of Glioblastoma Multiforme. HealthCom Ahmad Chaddad, Yue Wang, Junjie Feng
2023	C	`conf`	Stability in Radiomics Analysis: Advancements and Challenges. HealthCom Ahmad Chaddad
2023	J	`jnl`	Survey of Explainable AI Techniques in Healthcare. Sensors Ahmad Chaddad, Jihao Peng, Jian Xu, Ahmed Bouridane
2023	C	`conf`	The Use of Explainable Artificial Intelligence in Medicine. HealthCom Binbin Wen, Ahmad Chaddad
2022	J	`jnl`	Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-Ray Images. IEEE Trans. Neural Networks Learn. Syst. Ahmad Chaddad, Lama Hassan, Christian Desrosiers
2022	J	`jnl`	Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-ray Images. CoRR Ahmad Chaddad, Lama Hassan, Christian Desrosiers
2022	J	`jnl`	Deep radiomic signature with immune cell markers predicts the survival of glioma patients. CoRR Ahmad Chaddad, Paul Daniel, Mingli Zhang, Saima Rathore, Paul Sargos, Christian Desrosiers, Tamim Niazi
2022	J	`jnl`	Deep radiomic signature with immune cell markers predicts the survival of glioma patients. Neurocomputing Ahmad Chaddad, Paul Daniel, Mingli Zhang, Saima Rathore, Paul Sargos, Christian Desrosiers, Tamim Niazi
2022	J	`jnl`	Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine. CoRR Ahmad Chaddad, Qizong Lu, Jiali Li, Yousef Katib, Reem Kateb, Camel Tanougast, Ahmed Bouridane, Ahmed Abdulkadir
2022	J	`jnl`	Future Artificial Intelligence tools and perspectives in medicine. CoRR Ahmad Chaddad, Yousef Katib, Lama Hassan
2022	J	`jnl`	Gaze Estimation Approach Using Deep Differential Residual Network. CoRR Longzhao Huang, Yujie Li, Xu Wang, Haoyu Wang, Ahmed Bouridane, Ahmad Chaddad
2022	J	`jnl`	Gaze Estimation Approach Using Deep Differential Residual Network. Sensors Longzhao Huang, Yujie Li, Xu Wang, Haoyu Wang, Ahmed Bouridane, Ahmad Chaddad
2022	J	`jnl`	Modeling of Textures to Predict Immune Cell Status and Survival of Brain Tumour Patients. CoRR Ahmad Chaddad, Mingli Zhang, Lama Hassan, Tamim Niazi
2022	—	`conf`	Symmetry Structured Analysis Sparse Coding for Key Frame Extraction. ML4CS (1) Yujie Li, Benying Tan, Shuxue Ding, Christian Desrosiers, Ahmad Chaddad
2021	—	`conf`	AutoEncoder for Neuroimage. DEXA (2) Mingli Zhang, Fan Zhang, Jianxin Zhang, Ahmad Chaddad, Fenghua Guo, Wenbin Zhang, Ji Zhang, Alan C. Evans
2021	J	`jnl`	Modeling Texture in Deep 3D CNN for Survival Analysis. IEEE J. Biomed. Health Informatics Ahmad Chaddad, Paul Sargos, Christian Desrosiers
2021	—	`conf`	Modeling of Textures to Predict Immune Cell Status and Survival of Brain Tumour Patients. ISBI Ahmad Chaddad, Mingli Zhang, Lama Hassan, Tamim Niazi
2020	—	`conf`	Deep Discriminative Learning for Autism Spectrum Disorder Classification. DEXA (1) Mingli Zhang, Xin Zhao, Wenbin Zhang, Ahmad Chaddad, Alan C. Evans, Jean-Baptiste Poline
2020	J	`jnl`	Deep Radiomic Analysis to Predict Gleason Score in Prostate Cancer. IEEE Access Ahmad Chaddad, Michael J. Kucharczyk, Christian Desrosiers, Idowu Paul Okuwobi, Yousef Katib, Mingli Zhang, Saima Rathore, Paul Sargos, Tamim Niazi
2019	J	`jnl`	Deep Radiomic Analysis Based on Modeling Information Flow in Convolutional Neural Networks. IEEE Access Ahmad Chaddad, Matthew Toews, Christian Desrosiers, Tamim Niazi
2019	—	`conf`	Deep Radiomic Features from MRI Scans Predict Survival Outcome of Recurrent Glioblastoma. RNO-AI@MICCAI Ahmad Chaddad, Mingli Zhang, Christian Desrosiers, Tamim Niazi
2019	J	`jnl`	Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma. CoRR Ahmad Chaddad, Saima Rathore, Mingli Zhang, Christian Desrosiers, Tamim Niazi
2019	—	`conf`	Imaging Signature of 1p/19q Co-deletion Status Derived via Machine Learning in Lower Grade Glioma. RNO-AI@MICCAI Saima Rathore, Ahmad Chaddad, Nadeem Haider Bukhari, Tamim Niazi
2019	J	`jnl`	Novel Radiomic Features Based on Joint Intensity Matrices for Predicting Glioblastoma Patient Survival Time. IEEE J. Biomed. Health Informatics Ahmad Chaddad, Paul Daniel, Christian Desrosiers, Matthew Toews, Bassam Abdulkarim
2019	J	`jnl`	Predicting the Gene Status and Survival Outcome of Lower Grade Glioma Patients With Multimodal MRI Features. IEEE Access Ahmad Chaddad, Christian Desrosiers, Bassam Abdulkarim, Tamim Niazi
2018	J	`jnl`	Deep Radiomic Analysis of MRI Related to Alzheimer's Disease. IEEE Access Ahmad Chaddad, Christian Desrosiers, Tamim Niazi
2018	J	`jnl`	Prediction of survival with multi-scale radiomic analysis in glioblastoma patients. Medical Biol. Eng. Comput. Ahmad Chaddad, Siham Sabri, Tamim Niazi, Bassam Abdulkarim
2017	J	`jnl`	Corrigendum to "Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models". Int. J. Biomed. Imaging Ahmad Chaddad, Markus Luedi, Pascal O. Zinn, Rivka R. Colen
2017	J	`jnl`	Modeling Information Flow Through Deep Neural Networks. CoRR Ahmad Chaddad, Behnaz Naisiri, Marco Pedersoli, Eric Granger, Christian Desrosiers, Matthew Toews
2016	J	`jnl`	Extracted magnetic resonance texture features discriminate between phenotypes and are associated with overall survival in glioblastoma multiforme patients. Medical Biol. Eng. Comput. Ahmad Chaddad, Camel Tanougast
2016	B	`conf`	GBM heterogeneity characterization by radiomic analysis of phenotype anatomical planes. Image Processing Ahmad Chaddad, Christian Desrosiers, Matthew Toews
2016	—	`conf`	Local discriminative characterization of MRI for Alzheimer's disease. ISBI Ahmad Chaddad, Christian Desrosiers, Matthew Toews
2016	B	`conf`	Multispectral texture analysis of histopathological abnormalities in colorectal tissues. ICIP Ahmad Chaddad, Christian Desrosiers, Lama Hassan, Matthew Toews
2016	—	`conf`	Phenotypic characterization of glioblastoma identified through shape descriptors. Computer-Aided Diagnosis Ahmad Chaddad, Christian Desrosiers, Matthew Toews
2016	J	`jnl`	Quantitative evaluation of robust skull stripping and tumor detection applied to axial MR images. Brain Informatics Ahmad Chaddad, Camel Tanougast
2016	—	`conf`	Radiomic analysis of multi-contrast brain MRI for the prediction of survival in patients with glioblastoma multiforme. EMBC Ahmad Chaddad, Christian Desrosiers, Matthew Toews
2016	B	`conf`	Spatially constrained sparse regression for the data-driven discovery of Neuroimaging biomarkers. ICPR Kuldeep Kumar, Christian Desrosiers, Ahmad Chaddad, Matthew Toews
2015	J	`jnl`	Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models. Int. J. Biomed. Imaging Ahmad Chaddad
2015	—	`conf`	Comparison of segmentation techniques for histopathological images. DICTAP Hawraa Haj-Hassan, Ahmad Chaddad, Camel Tanougast, Youssef Harkouss
2015	J	`jnl`	High-Throughput Quantification of Phenotype Heterogeneity Using Statistical Features. Adv. Bioinformatics Ahmad Chaddad, Camel Tanougast
2015	—	`conf`	Radiomics texture feature extraction for characterizing GBM phenotypes using GLCM. ISBI Ahmad Chaddad, Pascal O. Zinn, Rivka R. Colen
2014	Misc	`conf`	Brain function evaluation using enhanced fNIRS signals extraction. CISS Ahmad Chaddad
2014	Misc	`conf`	Brain tumor identification using Gaussian Mixture Model features and Decision Trees classifier. CISS Ahmad Chaddad, Pascal O. Zinn, Rivka R. Colen
2014	C	`conf`	Low-noise transimpedance amplifier dedicated to biomedical devices: Near infrared spectroscopy system. CoDIT Ahmad Chaddad, Camel Tanougast
2014	C	`conf`	Quantitative texture analysis for Glioblastoma phenotypes discrimination. CoDIT Ahmad Chaddad, Pascal O. Zinn, Rivka R. Colen
2014	C	`conf`	Segmentation of abnormal cells by using level set model. CoDIT Hawraa Haj-Hassan, Ahmad Chaddad, Camel Tanougast, Youssef Harkouss
2014	—	`conf`	Snake Method Enhanced using Canny Approach Implementation for Cancer Cells Detection in Real Time . BIODEVICES Ahmad Chaddad, Camel Tanougast, Abbas Dandache
2014	C	`conf`	Survival analysis of pre-operative GBM patients by using quantitative image features. CoDIT Pattana Wangaryattawanich, Jixin Wang, Ginu A. Thomas, Ahmad Chaddad, Pascal O. Zinn, Rivka R. Colen