Ahmed El-Azab
Orcid: 0000-0002-6110-7886
According to our database1,
Ahmed El-Azab
authored at least 49 papers
between 2010 and 2024.
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Bibliography
2024
ICHPro: Intracerebral Hemorrhage Prognosis Classification Via Joint-attention Fusion-based 3d Cross-modal Network.
CoRR, 2024
2023
BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models from Chest X-Ray Images.
CoRR, 2023
MPSurv: End-to-End Multi-model Pseudo-Label Model for Brain Tumor Survival Prediction with Population Information Integration.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023
UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-Wide-Angle Transformation Multi-scale GAN.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
GCS-ICHNet: Assessment of Intracerebral Hemorrhage Prognosis using Self-Attention with Domain Knowledge Integration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Parkinson's Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data.
IEEE Trans. Neural Networks Learn. Syst., 2022
BMC Medical Imaging, 2022
Novel multi-site graph convolutional network with supervision mechanism for COVID-19 diagnosis from X-ray radiographs.
Appl. Soft Comput., 2022
2021
Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images.
IEEE J. Biomed. Health Informatics, 2021
Alzheimer's disease diagnosis framework from incomplete multimodal data using convolutional neural networks.
J. Biomed. Informatics, 2021
Comput. Biol. Medicine, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
AMD-GAN: Attention encoder and multi-branch structure based generative adversarial networks for fundus disease detection from scanning laser ophthalmoscopy images.
Neural Networks, 2020
GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images.
Neural Networks, 2020
Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis.
Medical Image Anal., 2020
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease.
Medical Image Anal., 2020
CoRR, 2020
Breast Cancer Image Classification via Multi-Network Features and Dual-Network Orthogonal Low-Rank Learning.
IEEE Access, 2020
Classification of Mild Cognitive Impairment Based on a Combined High-Order Network and Graph Convolutional Network.
IEEE Access, 2020
Longitudinal Analysis of Mild Cognitive Impairment via Sparse Smooth Network and Attention-Based Stacked Bi-Directional Long-Short Term Memory.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Walking Imagery Evaluation Based on Multi-view Features and Stacked Denoising Auto-encoder Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Protein-Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine.
IEEE J. Biomed. Health Informatics, 2019
Parkinson's Disease Diagnosis via Joint Learning From Multiple Modalities and Relations.
IEEE J. Biomed. Health Informatics, 2019
An optimized generic cerebral tumor growth modeling framework by coupling biomechanical and diffusive models with treatment effects.
Appl. Soft Comput., 2019
IEEE Access, 2019
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Diagnosis of Parkinson's Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble Learning.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson's Disease Diagnosis.
Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019
Sparse Low-rank Constrained Adaptive Structure Learning using Multi-template for Autism Spectrum Disorder Diagnosis.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Joint and Long Short-Term Memory Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal Data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Fully Automatic Pediatric Echocardiography Segmentation Using Deep Convolutional Networks Based on BiSeNet.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Low Rank Self-calibrated Brain Network Estimation and Autoweighted Centralized Multi-Task Learning for Early Mild Cognitive Impairment Diagnosis.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning.
Pattern Recognit., 2018
Deeply-learnt damped least-squares (DL-DLS) method for inverse kinematics of snake-like robots.
Neural Networks, 2018
IEEE Access, 2018
Longitudinal and Multi-modal Data Learning via Joint Embedding and Sparse Regression for Parkinson's Disease Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
3D Convolutional Neural Network and Stacked Bidirectional Recurrent Neural Network for Alzheimer's Disease Diagnosis.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Join and Deep Ensemble Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal and Incomplete Data<sup>*</sup>.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
A Coupled Modified Reaction Diffusion and Biomechanical Models for Cerebral Tumor Growth Modeling in Presence of Treatment.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Comput. Medical Imaging Graph., 2017
Developing a treatment for neurogenic bladder dysfunction using Model Predictive Control (MPC).
Biomed. Signal Process. Control., 2017
A Novel Technique for Robust and Fast Segmentation of Corneal Layer Interfaces Based on Spectral-Domain Optical Coherence Tomography Imaging.
IEEE Access, 2017
Segmentation of hyper-acute cerebral infarct based on random forest and sparse coding from diffusion weighted imaging.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Low grade glioma growth modeling considering chemotherapy and radiotherapy effects from magnetic resonance images.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2015
Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based Fuzzy c-Means Clustering.
Comput. Math. Methods Medicine, 2015
2010
Model Based Ceramic tile inspection using Discrete Wavelet Transform and Euclidean Distance
CoRR, 2010