The book follows a medical cyber-physical systems’ paradigm to handle the dimensionality conundrum stemming from image acquisition, image modality/resolution/representation, subspace decomposition, compressed sensing, and communications constraints.
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The book follows a medical cyber-physical systems’ paradigm to handle the dimensionality conundrum stemming from image acquisition, image modality/resolution/representation, subspace decomposition, compressed sensing, and communications constraints.
Vania V. Estrela has a B.S. degree from Federal University of Rio de Janeiro (UFRJ) in Electrical and Computer Engineering (ECE); M.Sc. from the Technological Institute of Aeronautics (ITA), Brazil; M.Sc. degree in ECE at Northwestern University, USA; and Ph.D. in ECE from the Illinois Institute of Technology (IIT), Chicago, IL, USA. Taught at DePaul University, USA, and Universidade Estadual do Norte Fluminense (UENF), Brazil. She was visiting professor at the Polytechnic Institute of Rio de Janeiro (IPRJ)/State University of Rio de Janeiro (UERJ) in Brazil and currently working at UFF’s Department of Telecommunications. Research interests include signal/image/video processing, inverse problems, computational & mathematical modeling, stochastic models, multimedia, communications, motion estimation, machine learning, and geoprocessing. She reviews several journal/magazine articles, and she is deputy editor of the Neuroscience Informatics journal (Elsevier). She is engaged in technology transfer, STEAM education, environmental issues, and digital inclusion. She is editor of several books and special issues and a member of IEEE and ACM.
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