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Costas Pitris
University of Cyprus
130Publications
13H-index
1,524Citations
Publications 127
Newest
#1Christos Photiou (UCY: University of Cyprus)H-Index: 2
#2Costas Pitris (UCY: University of Cyprus)H-Index: 13
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#1Andreas S. Panayides (UCY: University of Cyprus)H-Index: 10
#2Marios S. Pattichis (UNM: University of New Mexico)H-Index: 26
Last.Constantinos S. Pattichis (UCY: University of Cyprus)H-Index: 35
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Precision medicine promises better healthcare delivery by improving clinical practice. Using evidence-based substratification of patients, the objective is to achieve better prognosis, diagnosis, and treatment that will transform existing clinical pathways toward optimizing care for the specific needs of each patient. The wealth of today's healthcare data, often characterized as big data, provides invaluable resources toward new knowledge discovery that has the potential to advance precision med...
2 CitationsSource
May 1, 2019 in ICBHI (IEEE-EMBS International Conference on Biomedical and Health Informatics)
#1Kosmia Loizidou (UCY: University of Cyprus)
#2Galateia Skouroumouni (Nicosia General Hospital)
Last.Costas Pitris (UCY: University of Cyprus)H-Index: 13
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Breast cancer is one of the most deadly malignancies worldwide and the second leading cause of death in women. Mammography, i.e. the screening for breast cancer with x-ray imaging, has significantly improved the prognosis of patients diagnosed with the disease. The evaluation of mammograms requires a panel of radiologists, but even well trained experts can err in their assessment. For this reason, Computer-Aided Detection (CAD) systems are becoming more prevalent. In this paper, we introduce a n...
Source
#1Christos Photiou (UCY: University of Cyprus)H-Index: 2
#2Costas Pitris (UCY: University of Cyprus)H-Index: 13
The effects of dispersion on optical coherence tomography (OCT) images have long been documented. The imbalance of spectral broadening, caused by dispersion mismatches in the two arms of the OCT interferometer, can result in significant resolution degradation. Efforts to correct this phenomenon have resulted in improved image quality using various techniques. However, dispersion is also present and varies in tissues. As a result, group velocity dispersion (GVD) can be used to detect changes in t...
Source
#1Christos PhotiouH-Index: 2
#2Evgenia BousiH-Index: 4
Last.Costas PitrisH-Index: 13
view all 4 authors...
1 CitationsSource
#1Costas PitrisH-Index: 13
#2Christos PhotiouH-Index: 2
Source
#1Constantinos S. Pattichis (UCY: University of Cyprus)H-Index: 35
#2Costas Pitris (UCY: University of Cyprus)H-Index: 13
Last.Yuan-Ting Zhang (CAS: Chinese Academy of Sciences)H-Index: 46
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#1Costas PitrisH-Index: 13
Last.Guillermo J. TearneyH-Index: 91
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Source
#1Maria Tziakouri (UCY: University of Cyprus)
#2Costas Pitris (UCY: University of Cyprus)H-Index: 13
Last.Christina Orphanidou (UCY: University of Cyprus)H-Index: 3
view all 3 authors...
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#1Maria Tziakouri (UCY: University of Cyprus)
#2Costas Pitris (UCY: University of Cyprus)H-Index: 13
Last.Christina Orphanidou (UCY: University of Cyprus)H-Index: 3
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Atrial Fibrillation(AF) is a major public health risk but its identification is challenging because it may be episodic and non-symptomatic. Automatically identifying episodes of AF from a short segment of ECG would, thus, be beneficial. As a response to the Physionet/Computing in Cardiology Challenge 2017 we have implemented a three-stage classifier which can classify segments of ECG into Noisy, Normal, AF or Other Rhythm. We employ a state-of-the-art SQI for identifying noisy segments and then ...
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