Ahmed Shalaby
Orcid: 0000-0001-6291-7998Affiliations:
- University of Louisville, BioImaging Laboratory, Bioengineering Department, KY, USA
According to our database1,
Ahmed Shalaby
authored at least 55 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Integrated Deep Learning and Stochastic Models for Accurate Segmentation of Lung Nodules From Computed Tomography Images: A Novel Framework.
IEEE Access, 2023
A Novel Technique of Pulmonary Nodules Auto Segmentation Using Modified Convolutional Neural Networks.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Research on the internet of vehicles assisted traffic management systems for observing traffic density.
Comput. Electr. Eng., 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
2021
Sensors, 2021
The Role of Diffusion Tensor MR Imaging (DTI) of the Brain in Diagnosing Autism Spectrum Disorder: Promising Results.
Sensors, 2021
A Personalized Computer-Aided Diagnosis System for Mild Cognitive Impairment (MCI) Using Structural MRI (sMRI).
Sensors, 2021
Sensors, 2021
Sensors, 2021
Identifying brain areas correlated with ADOS raw scores by studying altered dynamic functional connectivity patterns.
Medical Image Anal., 2021
A Novel Grading System for Autism Severity Level Using Task-Based Functional MRI: A Response to Speech Study.
IEEE Access, 2021
A Novel Dwt-Based Discriminant Features Extraction From Task-Based Fmri: An Asd Diagnosis Study Using Cnn.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Autism Classification Using SMRI: A Recursive Features Selection Based on Sampling from Multi-Level High Dimensional Spaces.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Accurate Segmentation of Cerebrovasculature From TOF-MRA Images Using Appearance Descriptors.
IEEE Access, 2020
Accurate Detection of Non-Proliferative Diabetic Retinopathy in Optical Coherence Tomography Images Using Convolutional Neural Networks.
IEEE Access, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
A Deep Learning-Based Cad System For Renal Allograft Assessment: Diffusion, Bold, And Clinical Biomarkers.
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
Appl. Math. Comput., 2019
A Machine Learning Approach for Grading Autism Severity Levels Using Task-based Functional MRI.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Detecting and Localizing Prostate Cancer from Diffusion-Weighted Magnetic Resonance Imaging.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
2018
Identifying Personalized Autism Related Impairments Using Resting Functional MRI and ADOS Reports.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Computer-Aided Diagnosis of Prostate Cancer on Diffusion Weighted Imaging: A Technical Review.
Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018
A New Fast Framework for Early Detection of Prostate Cancer Without Prostate Segmentation.
Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018
A Novel MRA-Based Framework For Detecting Correlation Between Cerebrovascular Changes and Mean Arterial Pressure.
Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018
Towards Accurate Personalized Autism Diagnosis Using Different Imaging Modalities: sMRI, fMRI, and DTI.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
A novel MRA framework based on integrated global and local analysis for accurate segmentation of the cerebral vascular system.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
An integrated framework for automatic clinical assessment of diabetic retinopathy grade using spectral domain OCT images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
A Novel ADCs-Based CNN Classification System for Precise Diagnosis of Prostate Cancer.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
A New 3D CNN-based CAD System for Early Detection of Acute Renal Transplant Rejection.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2017
Comput. Biol. Medicine, 2017
Comput. Biol. Medicine, 2017
A Novel Automatic Segmentation Method to Quantify the Effects of Spinal Cord Injury on Human Thigh Muscles and Adipose Tissue.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Automatic 3-D muscle and fat segmentation of thigh magnetic resonance images in individuals with spinal cord injury.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
A new deep-learning approach for early detection of shape variations in autism using structural mri.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016