Ahmed Shaffie

Orcid: 0000-0002-6557-6292

Affiliations:

Louisiana State University of Alexandria (LSUA), Department of Mathematics and Computer Science, LA, USA
University of Louisville, KY, USA (former)

According to our database¹, Ahmed Shaffie authored at least 21 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Advancing Pulmonary Nodule Diagnosis by Integrating Engineered and Deep Features Extracted from CT Scans.

[BibT_eX]

[DOI]

Wiem Safta

Ahmed Shaffie

Algorithms, April, 2024

2023

A novel higher order appearance texture analysis to diagnose lung cancer based on a modified local ternary pattern.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., October, 2023

2022

Thyroid Cancer Diagnostic System using Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

Manar Mansour Hussein

Mohammed F. Alrahmawy

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

Hand Crafted Features for Efficient Lung Cancer Diagnosis Using Stacked Autoencoder.

[BibT_eX]

[DOI]

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

2021

A Comprehensive Computer-Assisted Diagnosis System for Early Assessment of Renal Cancer Tumors.

[BibT_eX]

[DOI]

Ahmed Abdel Khalek Abdel Razek

Norah Saleh Alghamdi

Ayman El-Baz

Sensors, 2021

A New Computer-Aided Diagnostic (Cad) System For Precise Identification Of Renal Tumors.

[BibT_eX]

[DOI]

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

A Novel Framework for Accurate and Non-Invasive Pulmonary Nodule Diagnosis by Integrating Texture and Contour Descriptors.

[BibT_eX]

[DOI]

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

2020

A Novel Computer-Aided Diagnostic System for Early Assessment of Hepatocellular Carcinoma.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

A Comprehensive Framework For Accurate Classification of Pulmonary Nodules.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

A New System for Lung Cancer Diagnosis based on the Integration of Global and Local CT Features.

[BibT_eX]

[DOI]

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

Radiomic-Based Framework for Early Diagnosis of Lung Cancer.

[BibT_eX]

[DOI]

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

A Novel CT-Based Descriptors for Precise Diagnosis of Pulmonary Nodules.

[BibT_eX]

[DOI]

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

2018

On The Integration of CT-Derived Features for Accurate Detection of Lung Cancer.

[BibT_eX]

[DOI]

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

A Novel CNN Segmentation Framework Based on Using New Shape and Appearance Features.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Novel Autoencoder-Based Diagnostic System for Early Assessment of Lung Cancer.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

A comprehensive framework for early assessment of lung injury.

[BibT_eX]

[DOI]

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

A new framework for incorporating appearance and shape features of lung nodules for precise diagnosis of lung cancer.

[BibT_eX]

[DOI]

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

2016

Detection of lung injury using 4D-CT chest images.

[BibT_eX]

[DOI]

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

3D diffusion MRI-based CAD system for early diagnosis of acute renal rejection.

[BibT_eX]

[DOI]

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

Kidney segmentation from CT images using a 3D NMF-guided active contour model.

[BibT_eX]

[DOI]

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

Image-based CAD system for accurate identification of lung injury.

[BibT_eX]

[DOI]

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

Ahmed Shaffie

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