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

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Advancing Pulmonary Nodule Diagnosis by Integrating Engineered and Deep Features Extracted from CT Scans.
Algorithms, April, 2024

2023
A novel higher order appearance texture analysis to diagnose lung cancer based on a modified local ternary pattern.
Comput. Methods Programs Biomed., October, 2023

2022
Thyroid Cancer Diagnostic System using Magnetic Resonance Imaging.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Hand Crafted Features for Efficient Lung Cancer Diagnosis Using Stacked Autoencoder.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
A Comprehensive Computer-Assisted Diagnosis System for Early Assessment of Renal Cancer Tumors.
Sensors, 2021

A New Computer-Aided Diagnostic (Cad) System For Precise Identification Of Renal Tumors.
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.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
A Novel Computer-Aided Diagnostic System for Early Assessment of Hepatocellular Carcinoma.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

A Comprehensive Framework For Accurate Classification of Pulmonary Nodules.
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.
Proceedings of the 2019 IEEE International Conference on Imaging Systems and Techniques, 2019

Radiomic-Based Framework for Early Diagnosis of Lung Cancer.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

A Novel CT-Based Descriptors for Precise Diagnosis of Pulmonary Nodules.
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.
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.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Novel Autoencoder-Based Diagnostic System for Early Assessment of Lung Cancer.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
A comprehensive framework for early assessment of lung injury.
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.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Detection of lung injury using 4D-CT chest images.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

3D diffusion MRI-based CAD system for early diagnosis of acute renal rejection.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Kidney segmentation from CT images using a 3D NMF-guided active contour model.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Image-based CAD system for accurate identification of lung injury.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016


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