Ahmad Chaddad
Orcid: 0000-0003-3402-9576
According to our database1,
Ahmad Chaddad
authored at least 62 papers
between 2014 and 2024.
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Bibliography
2024
2023
Imaging phenotypes predict overall survival in glioma more accurate than basic demographic and cell mutation profiles.
Comput. Methods Programs Biomed., December, 2023
A texture-based method for predicting molecular markers and survival outcome in lower grade glioma.
Appl. Intell., November, 2023
IEEE Internet Things J., August, 2023
Electroencephalography Signal Processing: A Comprehensive Review and Analysis of Methods and Techniques.
Sensors, July, 2023
IEEE CAA J. Autom. Sinica, April, 2023
A One-Dimensional Convolutional Neural Network Model for Predicting the Survival Outcome of Coronavirus Disease 2019.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023
Proceedings of the IEEE International Conference on E-health Networking, 2023
Proceedings of the IEEE International Conference on E-health Networking, 2023
Building a Better Metaverse: How Federated Learning is Revolutionizing Virtual Worlds.
Proceedings of the IEEE International Conference on E-health Networking, 2023
Proceedings of the IEEE International Conference on E-health Networking, 2023
Proceedings of the IEEE International Conference on E-health Networking, 2023
Proceedings of the IEEE International Conference on E-health Networking, 2023
Proceedings of the IEEE International Conference on E-health Networking, 2023
Proceedings of the IEEE International Conference on E-health Networking, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Boosting Classification Tasks with Federated Learning: Concepts, Experiments and Perspectives.
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023
2022
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-Ray Images.
IEEE Trans. Neural Networks Learn. Syst., 2022
Deep radiomic signature with immune cell markers predicts the survival of glioma patients.
Neurocomputing, 2022
Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
Modeling of Textures to Predict Immune Cell Status and Survival of Brain Tumour Patients.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the Database and Expert Systems Applications, 2021
2020
IEEE Access, 2020
Proceedings of the Database and Expert Systems Applications, 2020
2019
Novel Radiomic Features Based on Joint Intensity Matrices for Predicting Glioblastoma Patient Survival Time.
IEEE J. Biomed. Health Informatics, 2019
Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma.
CoRR, 2019
Deep Radiomic Analysis Based on Modeling Information Flow in Convolutional Neural Networks.
IEEE Access, 2019
Predicting the Gene Status and Survival Outcome of Lower Grade Glioma Patients With Multimodal MRI Features.
IEEE Access, 2019
Imaging Signature of 1p/19q Co-deletion Status Derived via Machine Learning in Lower Grade Glioma.
Proceedings of the Radiomics and Radiogenomics in Neuro-oncology, 2019
Deep Radiomic Features from MRI Scans Predict Survival Outcome of Recurrent Glioblastoma.
Proceedings of the Radiomics and Radiogenomics in Neuro-oncology, 2019
2018
Medical Biol. Eng. Comput., 2018
2017
Corrigendum to "Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models".
Int. J. Biomed. Imaging, 2017
2016
Extracted magnetic resonance texture features discriminate between phenotypes and are associated with overall survival in glioblastoma multiforme patients.
Medical Biol. Eng. Comput., 2016
Quantitative evaluation of robust skull stripping and tumor detection applied to axial MR images.
Brain Informatics, 2016
GBM heterogeneity characterization by radiomic analysis of phenotype anatomical planes.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Spatially constrained sparse regression for the data-driven discovery of Neuroimaging biomarkers.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Multispectral texture analysis of histopathological abnormalities in colorectal tissues.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Radiomic analysis of multi-contrast brain MRI for the prediction of survival in patients with glioblastoma multiforme.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models.
Int. J. Biomed. Imaging, 2015
High-Throughput Quantification of Phenotype Heterogeneity Using Statistical Features.
Adv. Bioinformatics, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 2015 Fifth International Conference on Digital Information and Communication Technology and its Applications, 2015
2014
Survival analysis of pre-operative GBM patients by using quantitative image features.
Proceedings of the International Conference on Control, 2014
Proceedings of the International Conference on Control, 2014
Proceedings of the International Conference on Control, 2014
Low-noise transimpedance amplifier dedicated to biomedical devices: Near infrared spectroscopy system.
Proceedings of the International Conference on Control, 2014
Brain tumor identification using Gaussian Mixture Model features and Decision Trees classifier.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014
Snake Method Enhanced using Canny Approach Implementation for Cancer Cells Detection in Real Time .
Proceedings of the BIODEVICES 2014, 2014