A5079839426- Cerebrovascular and Carotid Artery Diseases
- Cardiovascular Health and Disease Prevention
- AI in cancer detection
- Muscle activation and electromyography studies
- Medical Image Segmentation Techniques
- Neural Networks and Applications
- Image and Signal Denoising Methods
- Acute Ischemic Stroke Management
- Advanced Data Compression Techniques
- Multiple Sclerosis Research Studies
- EEG and Brain-Computer Interfaces
- Video Coding and Compression Technologies
- Image and Video Quality Assessment
- Mobile Health and mHealth Applications
- Radiomics and Machine Learning in Medical Imaging
- Telemedicine and Telehealth Implementation
- Retinal Imaging and Analysis
- Virtual Reality Applications and Impacts
- Artificial Intelligence in Healthcare
- Advanced Image Fusion Techniques
- Machine Learning in Healthcare
- Wireless Body Area Networks
- ECG Monitoring and Analysis
- Image Retrieval and Classification Techniques
- Electronic Health Records Systems
University of Cyprus
2016-2025
University of New Mexico
2011-2025
Cyprus Research and Innovation Center (Cyprus)
2020-2025
Electricity Authority of Cyprus (Cyprus)
2024
Lancaster University
2022
University of Bari Aldo Moro
2022
Universidad Carlos III de Madrid
2022
Johannes Kepler University of Linz
2022
Universidade Federal de Lavras
2022
Citard Services (Cyprus)
2019-2021
Artificial intelligence (AI) generally and machine learning (ML) specifically demonstrate impressive practical success in many different application domains, e.g. autonomous driving, speech recognition, or recommender systems. Deep approaches, trained on extremely large data sets using reinforcement methods have even exceeded human performance visual tasks, particularly playing games such as Atari, mastering the game of Go. Even medical domain there are remarkable results. The central...
Rapid advances in information technology and telecommunications - and, more specifically, wireless mobile communications their convergence ("telematics") are leading to the emergence of a new type infrastructure that has potential supporting an array advanced services for healthcare. The objective this paper is provide snapshot applications telemedicine systems. A review spectrum these benefits efforts presented, followed by successful case studies electronic patient record, emergency...
This paper reviews state-of-the-art research solutions across the spectrum of medical imaging informatics, discusses clinical translation, and provides future directions for advancing practice. More specifically, it summarizes advances in acquisition technologies different modalities, highlighting necessity efficient data management strategies context AI big healthcare analytics. It then a synopsis contemporary emerging algorithmic methods disease classification organ/ tissue segmentation,...
It is well-known that speckle a multiplicative noise degrades the visual evaluation in ultrasound imaging. The recent advancements instrumentation and portable devices necessitate need of more robust despeckling techniques for enhanced medical imaging both routine clinical practice teleconsultation. objective this work was to carry out comparative despeckle filtering based on texture analysis, image quality metrics, by experts assessment 440 (220 asymptomatic 220 symptomatic) images carotid...
There are indications that the morphology of atherosclerotic carotid plaques, obtained by high-resolution ultrasound imaging, has prognostic implications. The objective this study was to develop a computer-aided system will facilitate characterization plaques for identification individuals with asymptomatic stenosis at risk stroke. A total 230 plaque images were collected which classified into two types: symptomatic because ipsilateral hemispheric symptoms, or they not connected events. Ten...
Coronary heart disease (CHD) is one of the major causes disability in adults as well main death developed countries. Although significant progress has been made diagnosis and treatment CHD, further investigation still needed. The objective this study was to develop a data-mining system for assessment event-related risk factors targeting reduction CHD events. investigated were: 1) before event: a) nonmodifiable-age, sex, family history premature b) modifiable-smoking event, hypertension,...
The aim of this paper is to describe a novel and completely automated technique for carotid artery (CA) recognition, far (distal) wall segmentation, intima-media thickness (IMT) measurement, which strong clinical tool risk assessment cardiovascular diseases. architecture multiresolution edge snapper (CAMES) consists the following two stages: 1) CA recognition based on combination scale-space statistical classification in framework 2) segmentation lumen-intima (LI) media-adventitia (MA)...
Parkinson's disease (PD) is characterized by a variety of motor and non-motor symptoms. As progresses, fluctuations in the response to levodopa treatment may develop, along with emergence freezing gait (FoG) induced dyskinesia (LiD). The optimal management symptoms their complications, depends, principally, on consistent detection course, leading improved decisions. During last few years, wearable devices have started be used clinical practice for monitoring patients' PD-related symptoms,...
The shapes and firing rates of motor unit action potentials (MUAPs) in an electromyographic (EMG) signal provide important source information for the diagnosis neuromuscular disorders. In order to extract this from EMG signals recorded at low moderate force levels, it is required: i) identify MUAPs composing signal, ii) classify with similar shape, iii) decompose superimposed MUAP waveforms into their constituent MUAPs. For classification two different pattern recognition techniques are...
The provision of effective emergency telemedicine and home monitoring solutions are the major fields interest discussed in this study. Ambulances, Rural Health Centers (RHC) or other remote health location such as Ships navigating wide seas common examples possible sites, while critical care telemetry follow-ups important issues telemonitoring. In order to support above different growing application we created a combined real-time store forward facility that consists base unit (mobile) unit....
In previous years, several computer-aided quantitative motor unit action potential (MUAP) techniques were reported. It is now possible to add these the capability of automated medical diagnosis so that all data can be processed in an integrated environment. this study, parametric pattern recognition (PPR) algorithm facilitates automatic MUAP feature extraction and Artificial Neural Network (ANN) models are combined for providing system neuromuscular disorders. Two paradigms learning training...
Drug discovery and development is a complex, lengthy process, failure of candidate molecule can occur as result combination reasons, such poor pharmacokinetics, lack efficacy, or toxicity. Successful drug candidates necessarily represent compromise between the numerous, sometimes competing objectives so that benefits to patients outweigh potential drawbacks risks. De novo design involves searching an immense space feasible, druglike molecules select those with highest chances becoming drugs...
In this paper, we propose and evaluate an integrated system for the segmentation of atherosclerotic plaque in ultrasound imaging carotid artery based on normalization, speckle reduction filtering, four different snakes methods. These methods are Williams Shah, Balloon, Lai Chin, gradient vector flow (GVF) snake. The performance was tested 80 longitudinal images using receiver operating characteristic (ROC) analysis manual delineations expert. All were very satisfactory similar all measures...
This study introduces the use of multiscale amplitude modulation-frequency modulation (AM-FM) texture analysis multiple sclerosis (MS) using magnetic resonance (MR) images from brain. Clinically, there is interest in identifying potential associations between lesion and disease progression, relating features with relevant clinical indexes, such as expanded disability status scale (EDSS). longitudinal explores application 2-D AM-FM brain white matter MS lesions to quantify monitor load. To...
NOTE ⁃ A New Edition of This Title is Available in Two Volumes: Despeckle Filtering for Ultrasound Imaging and Video, Volume I: Algorithms Software, Second II: Selected Applications,