Panayides, Andreas S.
Centre of Excellence, CYENS, Nicosia 1016, Cyprus
6 papers on CoChatORCID 0000-0001-9829-7946
Most cited papers
- Verified
AI in Medical Imaging Informatics: Current Challenges and Future Directions
Panayides, A. S., Amini, A., Filipovic, N. D., Sharma, A., Tsaftaris, S. A., Young, A., Foran, D., Do, N., Golemati, S., Kurc, T., et al. (2020) · IEEE Journal of Biomedical and Health Informatics
Artificial Intelligence in Healthcare and EducationMedical Image Segmentation Techniques
Cited by 713
- Verified
Barriers, facilitators, and interventions for medication adherence across chronic conditions with the highest non-adherence rates: a scoping review with recommendations for intervention development
Konstantinou, P., Kassianos, A. P., Georgiou, G., Panayides, A., Papageorgiou, A., Almas, I., Wozniak, G., & Karekla, M. (2020) · Translational Behavioral Medicine
Medication Adherence and CompliancePharmacy and Medical Practices
Cited by 89
- Verified
Radiogenomics for Precision Medicine With a Big Data Analytics Perspective
Panayides, A. S., Pattichis, M. S., Leandrou, S., Pitris, C., Constantinidou, A., & Pattichis, C. S. (2019) · IEEE Journal of Biomedical and Health Informatics
Radiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and Education
Cited by 66
- Verified
AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview
Stylianides, C., Nicolaou, A., Sulaiman, W. A., Alexandropoulou, C.-A., Panagiotopoulos, I., Karathanasopoulou, K., Dimitrakopoulos, G., Kleanthous, S., Politi, E., Ntalaperas, D., et al. (2025) · Machine Learning and Knowledge Extraction
Sepsis Diagnosis and TreatmentMachine Learning in Healthcare
Cited by 28
- Verified
The Battle of the Video Codecs in the Healthcare Domain - A Comparative Performance Evaluation Study Leveraging VVC and AV1
Panayides, A. S., Pattichis, M. S., Pantziaris, M., Constantinides, A. G., & Pattichis, C. S. (2020) · IEEE Access
Video Coding and Compression TechnologiesAdvanced Data Compression Techniques
Cited by 27
- Verified
AI-based solutions for predicting sepsis in ICUs
Stylianides, C., Alexandropoulou, C.-A., Sulaiman, W., Panagiotopoulos, I., Kleanthous, S., Dimitrakopoulos, G., Constantinou, I., Vassiliou, S., Garcia, F., Politi, E., et al. (2023) · 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology
Machine Learning in HealthcareSepsis Diagnosis and Treatment
Cited by 5
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