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Constantinos S. Pattichis
University of Cyprus
346Publications
34H-index
4,656Citations
Publications 346
Newest
#1A. Panayides (UCY: University of Cyprus)H-Index: 11
#2Marios S. Pattichis (UNM: University of New Mexico)H-Index: 25
Last.Constantinos S. Pattichis (UCY: University of Cyprus)H-Index: 34
view all 6 authors...
Precision medicine promises better healthcare delivery by improving clinical practice. Using evidence-based sub-stratification of patients, the objective is to achieve better prognosis, diagnosis, and treatment that will transform existing clinical pathways towards optimizing care for the specific needs of each patient. The wealth of today's healthcare data, often characterized as big data, provides invaluable resources towards new knowledge discovery that has the potential to advance precision ...
#1Panayiotis Aristotelous (University of Nicosia)
#2Manos Stefanakis (University of Nicosia)H-Index: 2
Last.Christoforos D. Giannaki (University of Nicosia)H-Index: 12
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AbstractObjectives: Recent evidence suggests an association between functional capacity and cognitive function, at least in older adults. The aim of this cross-sectional study was to examine the as...
#1Constantinos S. Pattichis (UCY: University of Cyprus)H-Index: 34
#2Costas Pitris (UCY: University of Cyprus)H-Index: 10
Last.Yuan-Ting Zhang (CAS: Chinese Academy of Sciences)H-Index: 42
view all 4 authors...
#1Zinonas C. Antoniou (UCY: University of Cyprus)H-Index: 5
#2A. Panayides (UCY: University of Cyprus)H-Index: 11
Last.Marios S. Pattichis (UNM: University of New Mexico)H-Index: 25
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The wider adoption of mobile Health video communication systems in standard clinical practice requires real-time control to provide for adequate levels of clinical video quality to support reliable diagnosis. The latter can only be achieved with real-time adaptation to time-varying wireless networks’ state to guarantee clinically acceptable performance throughout the streaming session, while conforming to device capabilities for supporting real-time encoding. We propose an adaptive video encodin...
#1Abhinav Dixit (ASU: Arizona State University)
#2Uday Shankar Shanthamallu (ASU: Arizona State University)H-Index: 2
Last.Photini Spanias (ASU: Arizona State University)H-Index: 3
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#1Stephanos Leandrou (European University Cyprus)H-Index: 1
#2I. Mamais (European University Cyprus)
Last.Constantinos S. Pattichis (UCY: University of Cyprus)H-Index: 34
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Hippocampal and entorhinal cortex as scanned in Magnetic Resonance Imaging (MRI), are two of the most commonly used Regions of Interest (ROIs) for the assessment of Alzheimer's disease (AD). Both structures are used for the classification between Normal Controls (NC), Mild Cognitive Impairment (MCI) and AD subjects and for the disease prognosis. The objective of this study was to evaluate how the volume of these two structures changes between the following groups: NC vs AD, NC vs MCI, MCI vs MCI...
#1Chritos P. Loizou (CUT: Cyprus University of Technology)H-Index: 18
#2Constantinos S. Pattichis (UCY: University of Cyprus)H-Index: 34
Border identification of the atherosclerotic carotid plaque, the common carotid artery (CCA), degree of stenosis, as well as the characteristics of the arterial wall (plaque size, composition and elasticity), may add additional clinical information for the assessment of future cardiovascular events. We propose and evaluate in this chapter an integrated system for the segmentation of atherosclerotic carotid plaque in ultrasound videos of the CCA. The system is based on video frame normalization, ...
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