M
Marios S. Pattichis
Researcher at University of New Mexico
Publications - 301
Citations - 5121
Marios S. Pattichis is an academic researcher from University of New Mexico. The author has contributed to research in topics: Video quality & Image segmentation. The author has an hindex of 32, co-authored 287 publications receiving 4661 citations. Previous affiliations of Marios S. Pattichis include New Mexico State University & The Cyprus Institute of Neurology and Genetics.
Papers
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Journal ArticleDOI
Wireless telemedicine systems: an overview
Constantinos S. Pattichis,Efthyvoulos Kyriacou,S. Voskarides,Marios S. Pattichis,Robert S. H. Istepanian,Christos N. Schizas +5 more
TL;DR: A snapshot of the applications of wireless telemedicine systems is provided and a review of the spectrum of these applications and the potential benefits of these efforts is presented, followed by successful case studies in electronic patient record, emergency teleMedicine, teleradiology, and home monitoring.
Journal ArticleDOI
Multiscale AM-FM Methods for Diabetic Retinopathy Lesion Detection
Carla Agurto,Victor Murray,E. S. Barriga,S. Murillo,Marios S. Pattichis,Herbert Davis,Stephen R. Russell,Michael D. Abràmoff,Peter Soliz +8 more
TL;DR: The proposed AM-FM methodology shows significant capability for use in automatic DR screening and is demonstrated by applying it to classification of retinal images from the MESSIDOR database.
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Fast Localization and Segmentation of Optic Disk in Retinal Images Using Directional Matched Filtering and Level Sets
Honggang Yu,E. S. Barriga,Carla Agurto,Sebastian Echegaray,Marios S. Pattichis,William A. Bauman,Peter Soliz +6 more
TL;DR: Its efficiency, robustness, and accuracy make the OD localization and segmentation scheme described herein suitable for automatic retinal disease screening in a variety of clinical settings.
Journal ArticleDOI
Foveated video quality assessment
TL;DR: This work develops unique algorithms for assessing the quality of foveated image/video data using a model of human visual response and demonstrates that quality vs. compression is enhanced considerably by the foveation approach.
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Foveated video compression with optimal rate control
TL;DR: A new optimal rate control algorithm for maximizing the FSNR is established using a Lagrange multiplier method defined on a curvilinear coordinate system and a piecewise R-D (rate-distortion)/R-Q ( rate-quantization) model is developed.