Ahmad Chaddad

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 56

Top Topics

Artificial Intelligence In Medicine

Magnetic Resonance

Convolutional Neural Networks

Gaussian Mixture Model

Top Venues

Publications

Ahmad Chaddad, Yihang Wu, Christian Desrosiers
Federated Learning for Healthcare Applications. IEEE Internet Things J. 11 (5) (2024)
Yan Hu, Ahmad Chaddad
Potential of Federated Learning in Healthcare. HealthCom (2023)
Ahmad Chaddad, Lama Hassan, Yousef Katib
A texture-based method for predicting molecular markers and survival outcome in lower grade glioma. Appl. Intell. 53 (21) (2023)
Ahmad Chaddad, Yihang Wu
Domain Adaptation in Machine Learning: A Practical Simulation Study. ICTAI (2023)
Binbin Wen, Ahmad Chaddad
The Use of Explainable Artificial Intelligence in Medicine. HealthCom (2023)
Ahmad Chaddad, Camel Tanougast
CNN Approach for Predicting Survival Outcome of Patients With COVID-19. IEEE Internet Things J. 10 (15) (2023)
Ahmad Chaddad, Yousef Katib, Camel Tanougast
A One-Dimensional Convolutional Neural Network Model for Predicting the Survival Outcome of Coronavirus Disease 2019. ISBI (2023)
Ahmad Chaddad
Stability in Radiomics Analysis: Advancements and Challenges. HealthCom (2023)
Ahmad Chaddad, Yue Wang, Junjie Feng
Radiomics for a Comprehensive Assessment of Glioblastoma Multiforme. HealthCom (2023)
Yan Hu, Ahmad Chaddad
Boosting Classification Tasks with Federated Learning: Concepts, Experiments and Perspectives. BIBE (2023)
Ahmad Chaddad, Yihang Wu, Reem Kateb
Building a Better Metaverse: How Federated Learning is Revolutionizing Virtual Worlds. HealthCom (2023)
Saima Rathore, Muhammad Aksam Iftikhar, Ahmad Chaddad, Ashish Singh, Zeeshan Gillani, Ahmed Abdulkadir
Imaging phenotypes predict overall survival in glioma more accurate than basic demographic and cell mutation profiles. Comput. Methods Programs Biomed. 242 (2023)
Ahmad Chaddad, Yihang Wu
Enhancing Classification Tasks through Domain Adaptation Strategies. BIBM (2023)
Ahmad Chaddad
A Comprehensive Analysis of Lung Sound Signals. HealthCom (2023)
Ahmad Chaddad, Yuchen Jiang
Medical Metaverse: A New Virtual Health Experience. BIBE (2023)
Ahmad Chaddad, Yuchen Jiang, Changhong He
OpenAI ChatGPT: A Potential Medical Application. HealthCom (2023)
Ahmad Chaddad
Acceleration of Convolutional Neural Networks. BIBE (2023)
Ahmad Chaddad, Qizong Lu, Jiali Li, Yousef Katib, Reem Kateb, Camel Tanougast, Ahmed Bouridane, Ahmed Abdulkadir
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine. IEEE CAA J. Autom. Sinica 10 (4) (2023)
Ahmad Chaddad, Changhong He, Yuchen Jiang
ChatGPT: An Artificial Intelligence-Based Approach to Enhance Medical Applications. BIBE (2023)
Ahmad Chaddad, Jihao Peng, Jian Xu, Ahmed Bouridane
Survey of Explainable AI Techniques in Healthcare. Sensors 23 (2) (2023)
Ahmad Chaddad, Yousef Katib, Camel Tanougast
Advances in MRI-Based Radiomics for Prostate Cancer. ISBI (2023)
Ahmad Chaddad, Yihang Wu
A Practical Simulation for Domain Adaptation Models. HealthCom (2023)
Ahmad Chaddad, Yihang Wu, Reem Kateb, Ahmed Bouridane
Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques. Sensors 23 (14) (2023)
Longzhao Huang, Yujie Li, Xu Wang, Haoyu Wang, Ahmed Bouridane, Ahmad Chaddad
Gaze Estimation Approach Using Deep Differential Residual Network. CoRR (2022)
Ahmad Chaddad, Lama Hassan, Christian Desrosiers
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-ray Images. CoRR (2022)
Ahmad Chaddad, Qizong lu, Jiali Li, Yousef Katib, Reem Kateb, Camel Tanougast, Ahmed Bouridane, Ahmed Abdulkadir
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine. CoRR (2022)
Ahmad Chaddad, Paul Daniel, Mingli Zhang, Saima Rathore, Paul Sargos, Christian Desrosiers, Tamim Niazi
Deep radiomic signature with immune cell markers predicts the survival of glioma patients. CoRR (2022)
Ahmad Chaddad, Yousef Katib, Lama Hassan
Future Artificial Intelligence tools and perspectives in medicine. CoRR (2022)
Ahmad Chaddad, Paul Daniel, Mingli Zhang, Saima Rathore, Paul Sargos, Christian Desrosiers, Tamim Niazi
Deep radiomic signature with immune cell markers predicts the survival of glioma patients. Neurocomputing 469 (2022)
Ahmad Chaddad, Mingli Zhang, Lama Hassan, Tamim Niazi
Modeling of Textures to Predict Immune Cell Status and Survival of Brain Tumour Patients. CoRR (2022)
Longzhao Huang, Yujie Li, Xu Wang, Haoyu Wang, Ahmed Bouridane, Ahmad Chaddad
Gaze Estimation Approach Using Deep Differential Residual Network. Sensors 22 (14) (2022)
Ahmad Chaddad, Lama Hassan, Christian Desrosiers
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-Ray Images. IEEE Trans. Neural Networks Learn. Syst. 33 (1) (2022)
Yujie Li, Benying Tan, Shuxue Ding, Christian Desrosiers, Ahmad Chaddad
Symmetry Structured Analysis Sparse Coding for Key Frame Extraction. ML4CS (1) (2022)
Ahmad Chaddad, Paul Sargos, Christian Desrosiers
Modeling Texture in Deep 3D CNN for Survival Analysis. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Mingli Zhang, Fan Zhang, Jianxin Zhang, Ahmad Chaddad, Fenghua Guo, Wenbin Zhang, Ji Zhang, Alan C. Evans
AutoEncoder for Neuroimage. DEXA (2) (2021)
Ahmad Chaddad, Mingli Zhang, Lama Hassan, Tamim Niazi
Modeling of Textures to Predict Immune Cell Status and Survival of Brain Tumour Patients. ISBI (2021)
Ahmad Chaddad, Michael J. Kucharczyk, Christian Desrosiers, Idowu Paul Okuwobi, Yousef Katib, Mingli Zhang, Saima Rathore, Paul Sargos, Tamim Niazi
Deep Radiomic Analysis to Predict Gleason Score in Prostate Cancer. IEEE Access 8 (2020)
Mingli Zhang, Xin Zhao, Wenbin Zhang, Ahmad Chaddad, Alan C. Evans, Jean-Baptiste Poline
Deep Discriminative Learning for Autism Spectrum Disorder Classification. DEXA (1) (2020)
Ahmad Chaddad, Christian Desrosiers, Bassam Abdulkarim, Tamim Niazi
Predicting the Gene Status and Survival Outcome of Lower Grade Glioma Patients With Multimodal MRI Features. IEEE Access 7 (2019)
Ahmad Chaddad, Matthew Toews, Christian Desrosiers, Tamim Niazi
Deep Radiomic Analysis Based on Modeling Information Flow in Convolutional Neural Networks. IEEE Access 7 (2019)
Ahmad Chaddad, Mingli Zhang, Christian Desrosiers, Tamim Niazi
Deep Radiomic Features from MRI Scans Predict Survival Outcome of Recurrent Glioblastoma. RNO-AI@MICCAI (2019)
Saima Rathore, Ahmad Chaddad, Nadeem Haider Bukhari, Tamim Niazi
Imaging Signature of 1p/19q Co-deletion Status Derived via Machine Learning in Lower Grade Glioma. RNO-AI@MICCAI (2019)
Ahmad Chaddad, Saima Rathore, Mingli Zhang, Christian Desrosiers, Tamim Niazi
Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma. CoRR (2019)
Ahmad Chaddad, Paul Daniel, Christian Desrosiers, Matthew Toews, Bassam Abdulkarim
Novel Radiomic Features Based on Joint Intensity Matrices for Predicting Glioblastoma Patient Survival Time. IEEE J. Biomed. Health Informatics 23 (2) (2019)
Ahmad Chaddad, Christian Desrosiers, Tamim Niazi
Deep Radiomic Analysis of MRI Related to Alzheimer's Disease. IEEE Access 6 (2018)
Ahmad Chaddad, Siham Sabri, Tamim Niazi, Bassam Abdulkarim
Prediction of survival with multi-scale radiomic analysis in glioblastoma patients. Medical Biol. Eng. Comput. 56 (12) (2018)
Ahmad Chaddad, Behnaz Naisiri, Marco Pedersoli, Eric Granger, Christian Desrosiers, Matthew Toews
Modeling Information Flow Through Deep Neural Networks. CoRR (2017)
Ahmad Chaddad, Markus Luedi, Pascal O. Zinn, Rivka R. Colen
Corrigendum to "Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models". Int. J. Biomed. Imaging 2017 (2017)
Ahmad Chaddad, Christian Desrosiers, Matthew Toews
GBM heterogeneity characterization by radiomic analysis of phenotype anatomical planes. Medical Imaging: Image Processing (2016)
Ahmad Chaddad, Christian Desrosiers, Lama Hassan, Matthew Toews
Multispectral texture analysis of histopathological abnormalities in colorectal tissues. ICIP (2016)
Ahmad Chaddad, Christian Desrosiers, Matthew Toews
Phenotypic characterization of glioblastoma identified through shape descriptors. Medical Imaging: Computer-Aided Diagnosis (2016)
Ahmad Chaddad, Camel Tanougast
Quantitative evaluation of robust skull stripping and tumor detection applied to axial MR images. Brain Informatics 3 (1) (2016)
Ahmad Chaddad, Christian Desrosiers, Matthew Toews
Local discriminative characterization of MRI for Alzheimer's disease. ISBI (2016)
Ahmad Chaddad, Christian Desrosiers, Matthew Toews
Radiomic analysis of multi-contrast brain MRI for the prediction of survival in patients with glioblastoma multiforme. EMBC (2016)
Ahmad Chaddad, Camel Tanougast
Extracted magnetic resonance texture features discriminate between phenotypes and are associated with overall survival in glioblastoma multiforme patients. Medical Biol. Eng. Comput. 54 (11) (2016)
Kuldeep Kumar, Christian Desrosiers, Ahmad Chaddad, Matthew Toews
Spatially constrained sparse regression for the data-driven discovery of Neuroimaging biomarkers. ICPR (2016)
Ahmad Chaddad, Camel Tanougast
High-Throughput Quantification of Phenotype Heterogeneity Using Statistical Features. Adv. Bioinformatics 2015 (2015)
Hawraa Haj-Hassan, Ahmad Chaddad, Camel Tanougast, Youssef Harkouss
Comparison of segmentation techniques for histopathological images. DICTAP (2015)
Ahmad Chaddad
Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models. Int. J. Biomed. Imaging 2015 (2015)
Ahmad Chaddad, Pascal O. Zinn, Rivka R. Colen
Radiomics texture feature extraction for characterizing GBM phenotypes using GLCM. ISBI (2015)
Ahmad Chaddad, Pascal O. Zinn, Rivka R. Colen
Quantitative texture analysis for Glioblastoma phenotypes discrimination. CoDIT (2014)
Hawraa Haj-Hassan, Ahmad Chaddad, Camel Tanougast, Youssef Harkouss
Segmentation of abnormal cells by using level set model. CoDIT (2014)
Ahmad Chaddad, Camel Tanougast, Abbas Dandache
Snake Method Enhanced using Canny Approach Implementation for Cancer Cells Detection in Real Time . BIODEVICES (2014)
Pattana Wangaryattawanich, Jixin Wang, Ginu A. Thomas, Ahmad Chaddad, Pascal O. Zinn, Rivka R. Colen
Survival analysis of pre-operative GBM patients by using quantitative image features. CoDIT (2014)
Ahmad Chaddad, Camel Tanougast
Low-noise transimpedance amplifier dedicated to biomedical devices: Near infrared spectroscopy system. CoDIT (2014)
Ahmad Chaddad, Pascal O. Zinn, Rivka R. Colen
Brain tumor identification using Gaussian Mixture Model features and Decision Trees classifier. CISS (2014)
Ahmad Chaddad
Brain function evaluation using enhanced fNIRS signals extraction. CISS (2014)