Match!
Constantinos S. Pattichis
University of Cyprus
UltrasoundPattern recognitionComputer visionComputer scienceMedicine
351Publications
35H-index
4,985Citations
What is this?
Publications 347
Newest
#1Chritos P. Loizou (CUT: Cyprus University of Technology)H-Index: 18
#2Constantinos Chrysostomou (UCY: University of Cyprus)
Last. Constantinos S. Pattichis (UCY: University of Cyprus)H-Index: 35
view all 4 authors...
Abstract Background and Objective Ultrasound diaphragmatic muscle motion characteristics may provide useful information about normal or abnormal diaphragmatic function and indicate diaphragmatic weakness, or paralysis. In the present work we propose and evaluate an integrated semi-automated analysis system for the quantitative analysis of ultrasonic motion from ultrasound diaphragmatic videos. Methods The proposed system was evaluated in simulated videos and in 13 patients, four of whom patients...
Source
#2Andreas HadjisavvasH-Index: 17
Last. Eleni Zamba-PapanicolaouH-Index: 12
view all 11 authors...
// Lola Koniali 1 , * , Andreas Hadjisavvas 1 , 2 , * , Anastasia Constantinidou 3 , Kyproula Christodoulou 2 , 4 , Yiolanda Christou 5 , Christiana Demetriou 6 , Andreas S. Panayides 7 , Constantinos Pitris 8 , Constantinos S. Pattichis 7 , Eleni Zamba-Papanicolaou 2 , 5 and Kyriacos Kyriacou 1 , 2 1 Department of Electron Microscopy/Molecular Pathology, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus 2 The Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology a...
Source
Medical image analysis methods require the use of effective representations for differentiating between lesions, diseased regions, and normal structure. Amplitude Modulation - Frequency Modulation (AM-FM) models provide effective representations through physically meaningful descriptors of complex non-stationary structures that can differentiate between the different lesions and normal structure. Based on AM-FM models, medical images are decomposed into AM-FM components where the instantaneous f...
Source
#2Marios S. PattichisH-Index: 26
Last. Constantinos S. PattichisH-Index: 35
view all 5 authors...
Video compression is the core technology in mobile (mHealth) and electronic (eHealth) health video streaming applications. With global video traffic projected to reach 82% of all Internet traffic by 2022, there is a strong need to develop efficient compression algorithms to accommodate expected future growth. For the first time in decades, and especially since ISO/IEC MPEG and ITU-T VCEG expert groups strategically joined forces to develop the highly successful H.264/AVC standard, we have two di...
Source
Recent advancements in Virtual Reality (VR) immersive technologies provide new tools for the development of novel and promising applications for neurological rehabilitation. The purpose of this paper is to review the emerging VR applications developed for the evaluation and treatment of patients with neurological diseases. We start by discussing the impact of novel VR tasks that encourage and facilitate the patient's empowerment and involvement in the rehabilitation process. Then, a systematic r...
Source
#1Panayiotis Aristotelous (University of Nicosia)
#2Manos Stefanakis (University of Nicosia)H-Index: 2
Last. Christoforos D. Giannaki (University of Nicosia)H-Index: 13
view all 6 authors...
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...
Source
#1Nicoletta Prentzas (UCY: University of Cyprus)
#2Andrew Nicolaides (UCY: University of Cyprus)H-Index: 22
Last. Constantinos S. Pattichis (UCY: University of Cyprus)H-Index: 35
view all 5 authors...
Despite the recent recognition of the value of Artificial Intelligence and Machine Learning in healthcare, barriers to further adoption remain, mainly due to their "black box" nature and the algorithm's inability to explain its results. In this paper we present and propose a methodology of applying argumentation on top of machine learning to build explainable AI (XAI) models. We compare our results with Random Forests and an SVM classifier that was considered best for the same dataset in [1].
Source
#1Eftychios G. Christoforou (UCY: University of Cyprus)H-Index: 12
#2Andreas S. Panayides (UCY: University of Cyprus)H-Index: 10
Last. Constantinos S. Pattichis (UCY: University of Cyprus)H-Index: 35
view all 5 authors...
Population ageing is already having an impact on societies. This study briefly reviews associated technologies employed within the framework of elderly care, namely: robotic nursing, ambient assisted living and assistive robotics. Their current status is considered together with their potential and the associated implementation challenges.
1 CitationsSource
#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
view all 6 authors...
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
#2Nacim Ramdani (University of Orléans)H-Index: 15
Last. Dimitrios KoutsourisH-Index: 10
view all 13 authors...
Source
12345678910