Dr. Adel S. Elmaghraby Profile

Dr. Adel S. Elmaghraby

Professor and Department Chair at Univ of Louisville

SPIE Involvement:

Author

Websites:

Company Website

Publications (19)

Proceedings Article | 27 May 2022 Presentation + Paper

Improving cybersecurity through deep learning on keystroke and mouse dynamics

Yufeng Zheng, Lixin Yu, Sardar Haque, Ping Zhang, Adel Elmaghraby

Proceedings Volume 12100, 1210005 (2022) https://doi.org/10.1117/12.2620104

KEYWORDS: Biometrics, Behavioral biometrics, Distance measurement, Neural networks, Data modeling, Mahalanobis distance

Read Abstract +

Proceedings Article | 12 April 2021 Presentation + Paper

Cybersecurity enhancement using recurrent neural networks and keystroke dynamics

Adel Elmaghraby, Yufeng Zheng

Proceedings Volume 11734, 117340D (2021) https://doi.org/10.1117/12.2585803

KEYWORDS: Behavioral biometrics, Convolutional neural networks, Biometrics

Read Abstract +

Proceedings Article | 7 June 2013 Paper

A vehicle threat detection system using correlation analysis and synthesized x-ray images

Yufeng Zheng, Adel Elmaghraby

Proceedings Volume 8709, 87090V (2013) https://doi.org/10.1117/12.2016646

KEYWORDS: Image fusion, X-rays, X-ray imaging, Databases, LCDs, Image processing, Image enhancement, Visualization, Visual analytics, X-ray detectors

Read Abstract +

Proceedings Article | 14 February 2012 Paper

Computational intelligence techniques for identifying the pectoral muscle region in mammograms

H. Erin Rickard, Ruben Villao, Adel Elmaghraby

Proceedings Volume 8314, 831433 (2012) https://doi.org/10.1117/12.911634

KEYWORDS: Mammography, Image segmentation, Breast, Binary data, Digital mammography, Neurons, Image processing, Neodymium, Image analysis, Databases

Read Abstract +

Proceedings Article | 29 March 2007 Paper

Particle swarm optimization of neural network CAD systems with clinically relevant objectives

Piotr Habas, Jacek Zurada, Adel Elmaghraby, Georgia Tourassi

Proceedings Volume 6514, 65140M (2007) https://doi.org/10.1117/12.713829

KEYWORDS: Particle swarm optimization, Neural networks, Particles, CAD systems, Evolutionary algorithms, Algorithm development, Cancer, Electronic filtering, Neurons, Solid modeling

Read Abstract +

Proceedings Article | 29 March 2007 Paper

Contribution of Haar wavelets and MPEG-7 textural features for false positive reduction in a CAD system for the detection of masses in mammograms

Nevine Eltonsy, Georgia Tourassi, Adel Elmaghraby

Proceedings Volume 6514, 651404 (2007) https://doi.org/10.1117/12.713524

KEYWORDS: Wavelets, CAD systems, Mammography, Feature extraction, Databases, Computer aided diagnosis and therapy, Breast, Cancer, Neural networks, Artificial neural networks

Read Abstract +

Proceedings Article | 16 March 2006 Paper

Confidence-based stratification of CAD recommendations with application to breast cancer detection

Piotr Habas, Jacek Zurada, Adel Elmaghraby, Georgia Tourassi

Proceedings Volume 6144, 61445G (2006) https://doi.org/10.1117/12.653961

KEYWORDS: Computer aided diagnosis and therapy, Computer aided design, Solid modeling, Neural networks, CAD systems, Data modeling, Breast cancer, Visualization, Error analysis, Cancer

Read Abstract +

Proceedings Article | 10 March 2006 Paper

Three-band MRI image fusion utilizing the wavelet-based method optimized with two quantitative fusion metrics

Yufeng Zheng, Adel Elmaghraby, Hichem Frigui

Proceedings Volume 6144, 61440R (2006) https://doi.org/10.1117/12.651689

KEYWORDS: Image fusion, Magnetic resonance imaging, Image quality, Discrete wavelet transforms, Image processing, Spatial frequencies, Image segmentation, Image analysis, Data fusion, Medical imaging

Read Abstract +

Proceedings Article | 29 April 2005 Paper

DNA: directional neighborhood analysis for detection of breast masses in screening mammograms

Nevine Eltonsy, Georgia Tourassi, Piotr Habas, Adel Elmaghraby

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.593962

KEYWORDS: Mammography, Breast, Databases, Computer aided diagnosis and therapy, Feature extraction, CAD systems, Cancer, Visualization, Tissues, Breast cancer

Read Abstract +

Proceedings Article | 29 April 2005 Paper

Detection of architectural distortion in mammograms using fractal analysis

Georgia Tourassi, Nevine Eltonsy, Adel Elmaghraby, Carey Floyd

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.593823

KEYWORDS: Fractal analysis, Breast, Mammography, Architectural distortion, Computer aided diagnosis and therapy, Digital mammography, Databases, Breast cancer, Statistical analysis, Computer aided design

Read Abstract +

Proceedings Article | 29 April 2005 Paper

Automated detection of mammographic masses: preliminary assessment of an information-theoretic CAD scheme for reduction of false positives

Georgia Tourassi, Nevine Eltonsy, Adel Elmaghraby, Carey Floyd

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.595696

KEYWORDS: Computer aided diagnosis and therapy, Mammography, Computer aided design, Breast, Databases, Detection and tracking algorithms, CAD systems, Digital mammography, Algorithm development, Cancer

Read Abstract +

Proceedings Article | 29 April 2005 Paper

A novel technique for assessing the case-specific reliability of decisions made by CAD tools

Piotr Habas, Georgia Tourassi, Nevine Eltonsy, Adel Elmaghraby, Jacek Zurada

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.595597

KEYWORDS: Reliability, Computer aided design, Neural networks, Computer aided diagnosis and therapy, Solid modeling, Neurons, Performance modeling, Computer engineering, Databases, Detector development

Read Abstract +

Proceedings Article | 12 April 2005 Paper

Adapted morphing model for 3D volume reconstruction applied to abdominal CT images

Aleksey Fadeev, Nevine Eltonsy, Georgia Tourassi, Robert Martin, Adel Elmaghraby

Proceedings Volume 5744, (2005) https://doi.org/10.1117/12.595434

KEYWORDS: Computed tomography, 3D modeling, Data modeling, Reconstruction algorithms, Visual process modeling, Visualization, Volume rendering, Software development, 3D image processing, 3D image reconstruction

Read Abstract +

SPIE Journal Paper | 1 January 2005

Resolution improvement and detail enhancement for computed tomography scout images

Yufeng Zheng, Mark Wachowiak, Adel Elmaghraby

JEI, Vol. 14, Issue 01, 013003, (January 2005) https://doi.org/10.1117/12.10.1117/1.1867997

KEYWORDS: Image fusion, Image enhancement, Finite element methods, Image resolution, Electronic filtering, Discrete wavelet transforms, Point spread functions, Image processing, Wavelets, Computed tomography

Read Abstract +

Proceedings Article | 12 May 2004 Paper

Unsupervised tissue segmentation in screening mammograms for automated breast density assessment

H. Erin Rickard, Georgia Tourassi, Adel Elmaghraby

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.535762

KEYWORDS: Breast, Image segmentation, Mammography, Tissues, Binary data, Feature extraction, Radiology, Neural networks, Breast cancer, Image processing

Read Abstract +

Proceedings Article | 4 September 2003 Paper

Building intelligence in third-generation training and battle simulations

Dennis Jacobi, Don Anderson, Vance von Borries, Adel Elmaghraby, Mehmed Kantardzic, Rammohan Ragade

Proceedings Volume 5091, (2003) https://doi.org/10.1117/12.500901

KEYWORDS: Telecommunications, Computer simulations, Intelligence systems, Computing systems, Computer architecture, Distributed computing, Complex systems, Machine learning, Warfare, Artificial intelligence

Read Abstract +

Current war games and simulations are primarily attrition based, and are centered on the concept of force on force. They constitute what can be defined as “second generation” war games. So-called “first generation” war games were focused on strategy with the primary concept of mind on mind. We envision “third generation” war games and battle simulations as concentrating on effects with the primary concept being system on system. Thus the third generation systems will incorporate each successive generation and take into account strategy, attrition and effects. This paper will describe the principal advantages and features that need to be implemented to create a true “third generation” battle simulation and the architectural issues faced when designing and building such a system. Areas of primary concern are doctrine, command and control, allied and coalition warfare, and cascading effects. Effectively addressing the interactive effects of these issues is of critical importance. In order to provide an adaptable and modular system that will accept future modifications and additions with relative ease, we are researching the use of a distributed Multi-Agent System (MAS) that incorporates various artificial intelligence methods. The agent architecture can mirror the military command structure from both vertical and horizontal perspectives while providing the ability to make modifications to doctrine, command structures, inter-command communications, as well as model the results of various effects upon one another, and upon the components of the simulation. This is commonly referred to as “cascading effects,” in which A affects B, B affects C and so on. Agents can be used to simulate units or parts of units that interact to form the whole. Even individuals can eventually be simulated to take into account the affect to key individuals such as commanders, heroes, and aces. Each agent will have a learning component built in to provide “individual intelligence” based on experience.

Proceedings Article | 15 May 2003 Paper

CT scout z-resolution improvement with image restoration methods

Yufeng Zheng, Xiaohui Cui, Mark Wachowiak, Adel Elmaghraby

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.480308

KEYWORDS: Electronic filtering, Image filtering, Point spread functions, Image restoration, Image resolution, Computed tomography, Image enhancement, Image processing, Image fusion, Image quality

Read Abstract +

Proceedings Article | 15 May 2003 Paper

Mark Wachowiak, Renata Smolikova, Georgia Tourassi, Adel Elmaghraby

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.480867

KEYWORDS: Image registration, Biomedical optics, Image information entropy, Magnetic resonance imaging, Brain, Computed tomography, Head, Ultrasonography, Optimization (mathematics), Image processing

Read Abstract +

Proceedings Article | 11 April 2002 Paper

General ultrasound speckle models in determining scatterer density

Mark Wachowiak, Renata Smolikova, Georgia Tourassi, Adel Elmaghraby

Proceedings Volume 4687, (2002) https://doi.org/10.1117/12.462164

KEYWORDS: Data modeling, Ultrasonography, Speckle, Scattering, Statistical analysis, Signal to noise ratio, Statistical modeling, Tissues, Computer simulations, Transducers

Read Abstract +

Showing 5 of 19 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years