Protecting patient privacy from unauthorized release of medical images using a bio-inspired wavelet-based watermarking approach
Section snippets
Pegah Fakhari received her B.Sc. degree in Electrical Engineering from Tehran University, Tehran, Iran in 2007. Her research interests include pattern recognition, digital signal and image processing, image and video watermarking, wavelets, neural network, fuzzy logic and bio-inspired optimization approaches like genetic algorithm (GA), invasive weeds optimization (IWO) and particle swarm (PSO).
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Genetic algorithm-based intelligent watermarking for security of medical images in telemedicine applications
2020, Intelligent Data Security Solutions for e-Health ApplicationsMetaheuristic Algorithms for Healthcare: Open Issues and Challenges
2016, Computers and Electrical EngineeringCitation Excerpt :More precisely, in this study, GA was used to determine better weights of features of data for a classification algorithm. Different from [32,43], the study given in [65] first modeled the medical resource management problem as a maximal covering location problem and then used GA to find out a good solution for the locations of RFID readers so as to maximize the possible coverage of RFID readers on the service floor. Different from GA which simulates the theory of evolution, the ant colony optimization (ACO) uses a different way to simulate the natural behavior of ants to find out a good solution for the optimization problem of healthcare.
Robust and secure watermarking scheme for breath sound
2013, Journal of Systems and SoftwareCitation Excerpt :For instance, some systems, such as Hospital Information System (HIS), address security problems and provide confidentiality, integrity and authentication via watermarking. Watermarking applications for medical purposes have been extensively investigated with reference to their security (Arsalan et al., 2011; Fakhari et al., 2011; Ko et al., 2012). For the breath sounds containing medical information, conventional watermarking is not appropriate because of the signal characteristics and distortion problems.
An overview of information fusion in the domain of watermarking and document security
2013, Information FusionOptimal color watermarking scheme using PSO in RDWT domain
2023, International Journal of Information Technology (Singapore)A novel robust zero-watermarking algorithm for medical images
2021, Visual Computer
Pegah Fakhari received her B.Sc. degree in Electrical Engineering from Tehran University, Tehran, Iran in 2007. Her research interests include pattern recognition, digital signal and image processing, image and video watermarking, wavelets, neural network, fuzzy logic and bio-inspired optimization approaches like genetic algorithm (GA), invasive weeds optimization (IWO) and particle swarm (PSO).
Ehsan Vahedi received his B.Sc. degree in Electrical Engineering from K.N. Toosi University of Technology, Tehran, Iran, in 2004. He also received his M.Sc. degree in Electrical Engineering from University of Tehran, Tehran, Iran in 2008. He is currently a PhD candidate at the University of British Columbia (UBC), Vancouver, Canada. His research interests include statistical signal and image processing, communication networks, image and video watermarking, wavelets, encryption and bio-inspired optimization.
Caro Lucas received his M.Sc. degree in Electrical Engineering from University of Tehran, Iran in 1973. He obtained his Ph.D. degree in Electrical Engineering from the University of California-Berkeley, USA in 1976. Dr. Lucas was an Assistant Professor at the Department of Systems Science, University of California at Los Angeles (UCLA). He also used to be a Visiting Associate Professor at Department of Electrical Engineering and Computer Sciences, University of California-Berkeley and Department of Electrical and Computer Engineering at University of Toronto, Canada. In 1977, he joined the school of Electrical and Computer Engineering, University of Tehran, Iran where he is now a professor with tenure. Dr. Lucas has published more than 150 journal papers so far and his research interests are in the areas of control systems and bio-inspired optimization approaches with applications in Electrical Engineering.