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 54 papers between 2016 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Integrated Deep Learning and Stochastic Models for Accurate Segmentation of Lung Nodules From Computed Tomography Images: A Novel Framework.

[BibT_eX]

[DOI]

IEEE Access, 2023

A Novel Technique of Pulmonary Nodules Auto Segmentation Using Modified Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Special Issue "Computer Aided Diagnosis Sensors".

[BibT_eX]

[DOI]

Ayman El-Baz

Guruprasad A. Giridharan

Ahmed Shalaby

Ali H. Mahmoud

Mohammed Ghazal

Sensors, 2022

Research on the internet of vehicles assisted traffic management systems for observing traffic density.

[BibT_eX]

[DOI]

Aldosary Saad

Ahmed Shalaby

Abdallah A. Mohamed

Comput. Electr. Eng., 2022

Understanding Autism Using Machine Learning: A Structural MRI Study.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

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

[BibT_eX]

[DOI]

Sensors, 2021

The Role of Diffusion Tensor MR Imaging (DTI) of the Brain in Diagnosing Autism Spectrum Disorder: Promising Results.

[BibT_eX]

[DOI]

Sensors, 2021

A Personalized Computer-Aided Diagnosis System for Mild Cognitive Impairment (MCI) Using Structural MRI (sMRI).

[BibT_eX]

[DOI]

Fatma El-Zahraa A. El-Gamal

Sensors, 2021

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

[BibT_eX]

[DOI]

Sensors, 2021

Precise Identification of Prostate Cancer from DWI Using Transfer Learning.

[BibT_eX]

[DOI]

Islam R. Abdelmaksoud

Sensors, 2021

Identifying brain areas correlated with ADOS raw scores by studying altered dynamic functional connectivity patterns.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

A Novel Grading System for Autism Severity Level Using Task-Based Functional MRI: A Response to Speech Study.

[BibT_eX]

[DOI]

IEEE Access, 2021

A Novel Dwt-Based Discriminant Features Extraction From Task-Based Fmri: An Asd Diagnosis Study Using Cnn.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Accurate Segmentation of Cerebrovasculature From TOF-MRA Images Using Appearance Descriptors.

[BibT_eX]

[DOI]

IEEE Access, 2020

Accurate Detection of Non-Proliferative Diabetic Retinopathy in Optical Coherence Tomography Images Using Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE Access, 2020

Computer Aided Autism Diagnosis Using Diffusion Tensor Imaging.

[BibT_eX]

[DOI]

IEEE Access, 2020

A Novel Framework for Grading Autism Severity Using Task-Based FMRI.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Precise Cerebrovascular Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Precise Statistical Approach for Leaf Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Level sets-based image segmentation approach using statistical shape priors.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2019

Vegetation Cover Estimation Using Convolutional Neural Networks.

[BibT_eX]

[DOI]

Jón Atli Benediktsson

Ayman El-Baz

IEEE Access, 2019

A Machine Learning Approach for Grading Autism Severity Levels Using Task-based Functional MRI.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Chronic Wound Healing Assessment System Based on Color and Texture Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Autism Spectrum Disorder Diagnosis framework using Diffusion Tensor Imaging.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

An Accurate System for Prostate Cancer Localization from Diffusion-Weighted MRI.

[BibT_eX]

[DOI]

Islam R. Abdelmaksoud

Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Detecting Prostate Cancer Using A CNN-Based System Without Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

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

[BibT_eX]

[DOI]

Guruprasad Giridharan

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Detecting and Localizing Prostate Cancer from Diffusion-Weighted Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Identifying Personalized Autism Related Impairments Using Resting Functional MRI and ADOS Reports.

[BibT_eX]

[DOI]

Begonya Garcia-Zapirain

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Guruprasad A. Giridharan

Adel Elmaghraby

Ayman El-Baz

Proceedings of the 2018 IEEE International Conference on Imaging Systems and Techniques, 2018

A Review on the Cerebrovascular Segmentation Methods.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

A Computer-Aided System for Prostate Cancer Diagnosis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Guruprasad A. Giridharan

Ayman El-Baz

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.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

A Novel ADCs-Based CNN Classification System for Precise Diagnosis of Prostate Cancer.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Towards Personalized Autism Diagnosis: Promising Results.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

A comprehensive non-invasive framework for diagnosing prostate cancer.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2017

Automated framework for accurate segmentation of pressure ulcer images.

[BibT_eX]

[DOI]

Begonya Garcia-Zapirain

Ahmed Shalaby

Ayman El-Baz

Adel Elmaghraby

Comput. Biol. Medicine, 2017

A Novel Automatic Segmentation Method to Quantify the Effects of Spinal Cord Injury on Human Thigh Muscles and Adipose Tissue.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Image-Based Computer-Aided Diagnostic System for Early Diagnosis of Prostate Cancer.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Computer-aided diagnostic tool for early detection of prostate cancer.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Ahmed Shalaby

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