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Constantinos S. Pattichis
University of Cyprus
306Publications
33H-index
4,318Citations
Publications 306
Newest
Constantinos S. Pattichis33
Estimated H-index: 33
(University of Cyprus),
Constantinos Pitris6
Estimated H-index: 6
(University of Cyprus)
+ 1 AuthorsYuan-Ting Zhang42
Estimated H-index: 42
(Chinese Academy of Sciences)
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2018
Stephanos Leandrou1
Estimated H-index: 1
(European University Cyprus),
I. Mamais (European University Cyprus)+ 3 AuthorsConstantinos S. Pattichis33
Estimated H-index: 33
(University of Cyprus)
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...
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Christos P. Loizou17
Estimated H-index: 17
(Cyprus University of Technology),
Dimitrios Matamis12
Estimated H-index: 12
+ 5 AuthorsConstantinos S. Pattichis33
Estimated H-index: 33
(University of Cyprus)
Measurements of ultrasound diaphragmatic motion, amplitude, force, and velocity of contraction may provide important and essential information about diaphragmatic fatigue, weakness, or paralysis. In this paper, we propose and evaluate a semi-automated analysis system for measuring the diaphragmatic motion and estimating the maximum relaxation rate (MRR_SAUS) from ultrasound M-mode images of the diaphragmatic muscle. The system was evaluated on 27 M-mode ultrasound images of the diaphragmatic mus...
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2018
Abhinav Dixit (Arizona State University), Uday Shankar Shanthamallu2
Estimated H-index: 2
(Arizona State University)
+ 9 AuthorsAndrew Strom1
Estimated H-index: 1
Source
Stephanos Leandrou1
Estimated H-index: 1
(European University Cyprus),
Styliani Petroudi8
Estimated H-index: 8
+ 2 AuthorsConstantinos S. Pattichis33
Estimated H-index: 33
(University of Cyprus)
Classifying and predicting Alzheimer's disease (AD) in individuals with memory disorders through clinical and psychometric assessment is challenging, especially in mild cognitive impairment (MCI) subjects. Quantitative structural magnetic resonance imaging acquisition methods in combination with computer-aided diagnosis are currently being used for the assessment of AD. These acquisitions methods include voxel-based morphometry, volumetric measurements in specific regions of interest (ROIs), cor...
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Zinonas C. Antoniou5
Estimated H-index: 5
(University of Cyprus),
Andreas S. Panayides11
Estimated H-index: 11
(University of Cyprus)
+ 3 AuthorsMarios S. Pattichis25
Estimated H-index: 25
(University of New Mexico)
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...
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Athos Antoniades6
Estimated H-index: 6
(University of Cyprus),
Aristos Aristodimou3
Estimated H-index: 3
(University of Cyprus)
+ 15 AuthorsMuntazir Mehdi6
Estimated H-index: 6
(National University of Ireland, Galway)
Electronic Health Records (EHRs) contain an increasing wealth of medical information. When combined with molecular level data, they enhance the understanding of the underlying biological mechanisms of diseases, enabling the identification of key prognostic biomarkers to disease and treatment outcomes. However, the European healthcare information space is fragmented due to the lack of legal and technical standards, cost effective platforms, and sustainable business models. There is a clear need f...
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2017
Efthyvoulos Kyriacou16
Estimated H-index: 16
(Frederick University),
Stelios Christofides , Constantinos S. Pattichis33
Estimated H-index: 33
(University of Cyprus)
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Dimitrios Barmpakos1
Estimated H-index: 1
(Technological Educational Institute of Athens),
Prodormos Kaplanis + 1 AuthorsConstantinos S. Pattichis33
Estimated H-index: 33
(University of Cyprus)
The present study introduces a method for detecting possible neuropathy or myopathy cases of a subject based on surface electromyograms signals; the same method has been developed as a classification tool for movements of the upper arm. This research is proposed for its capability to classify subjects from a clinical dataset in healthy, myopathic and neuropathic cases. The extraction of features with simple morphology but estimated on the signals wavelet domain increases the classification rate ...
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