Ahmed Shalaby

Orcid: 0000-0001-6291-7998

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Precision Diagnosis of Autism Through Resting FMRI and Machine Learning.
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
Special Issue "Computer Aided Diagnosis Sensors".
Sensors, 2022

Research on the internet of vehicles assisted traffic management systems for observing traffic density.
Comput. Electr. Eng., 2022

Understanding Autism Using Machine Learning: A Structural MRI Study.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
A Deep-Learning Framework for the Detection of Oil Spills from SAR Data.
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

Role of AI and Histopathological Images in Detecting Prostate Cancer: A Survey.
Sensors, 2021

Precise Identification of Prostate Cancer from DWI Using Transfer Learning.
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

Computer Aided Autism Diagnosis Using Diffusion Tensor Imaging.
IEEE Access, 2020

A Novel Framework for Grading Autism Severity Using Task-Based FMRI.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Precise Cerebrovascular Segmentation.
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

Precise Statistical Approach for Leaf Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Level sets-based image segmentation approach using statistical shape priors.
Appl. Math. Comput., 2019

Vegetation Cover Estimation Using Convolutional Neural Networks.
IEEE Access, 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

Chronic Wound Healing Assessment System Based on Color and Texture Analysis.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Autism Spectrum Disorder Diagnosis framework using Diffusion Tensor Imaging.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

An Accurate System for Prostate Cancer Localization from Diffusion-Weighted MRI.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Detecting Prostate Cancer Using A CNN-Based System Without Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Early Assessment of Renal Transplants Using BOLD-MRI: Promising Results.
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

A Review on the Cerebrovascular Segmentation Methods.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

Automated Staging of Diabetic Retinopathy Using a 2D Convolutional Neural Network.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

A Computer-Aided System for Prostate Cancer Diagnosis.
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

A new CNN-based system for early diagnosis of prostate cancer.
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

Using resting state functional MRI to build a personalized autism diagnosis system.
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

Towards Personalized Autism Diagnosis: Promising Results.
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
A comprehensive non-invasive framework for diagnosing prostate cancer.
Comput. Biol. Medicine, 2017

Automated framework for accurate segmentation of pressure ulcer images.
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

A novel CAD system for autism diagnosis using structural and functional MRI.
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
Image-Based Computer-Aided Diagnostic System for Early Diagnosis of Prostate Cancer.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

A new NMF-autoencoder based CAD system for early diagnosis of prostate cancer.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Computer-aided diagnostic tool for early detection of prostate cancer.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016


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