Conference Papers, Proceedings and Posters

2024

I. Valiandi, M. S. Pattichis, E. Kyriacou, A. S. Panayides. Adaptive Strategies for Enhancing Quality of Experience in 360° Video Streaming. In2024 58th Asilomar Conference on Signals, Systems, and Computers 2024 Oct 27 (pp. 945-949). IEEE. Read here.

I. Valiandi, M. S. Pattichis, E. Kyriacou, A. S. Panayides. Adaptive 360° Video Streaming Over Wireless Communication Channels. In2024 9th International Conference on Frontiers of Signal Processing (ICFSP) 2024 Sep 12 (pp. 43-49). IEEE. Read here.

G. D. Liapi, C. P. Loizou, A. Nicolaides, M. Griffin, D. Kardoulas, C. Pattichis, E. Kyriacou. Carotid Plaque Motion Analysis in Ultrasound Videos to Discover Rupture-Prone Plaque Areas. In2024 IEEE International Symposium on Biomedical Imaging (ISBI) 2024 May 27 (pp. 1-4). IEEE. Read here.

K. P. Constantinou, I. P.  Constantinou, C. P. Loizou, E. Kyriacou, A. Panayides, A. N. Nicolaides, C. S. Pattichis, M. S. Pattichis. Atherosclerotic carotid plaque AM-FM texture feature variability in ultrasound video. In2024 IEEE International Symposium on Biomedical Imaging (ISBI) 2024 May 27 (pp. 1-4). IEEE. Read here.

G. Adamides, A. Panayides, C. P. Loizou, A. Nicolaou, M. Pantzaris, C. Pattichis. Brain Magnetic Resonance Imaging Segmentation System in MS with Deep Neural Networks. InInternational Conference on Pervasive Computing Technologies for Healthcare 2024 Sep 17 (pp. 325-339). Cham: Springer Nature Switzerland. Read here. 

2023

W. A. Sulaiman, A. Nicolaou, N. Prentza, C. Stylianides, A. Panayides, I. Constantinou, Z. Antoniou, A. Kakas, E. Kyriacou, L. Palazis, T. Kyprianou, C. Pattichis. Emergency department triage hospitalization prediction based on machine learning and rule extraction. In2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology 2023 Dec 7 (pp. 147-148). IEEE. Read here.

A. Nicolaou, M. Pantzaris, C. P. Loizou, A. Kakas, C. S. Pattichis. An Explainable AI model in the assessment of Multiple Sclerosis using clinical data and Brain MRI lesion texture features. In2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) 2023 Oct 15 (pp. 1-4). IEEE. Read here.

I. Valiandi, A. Panayides, E. Kyriacou, C. S. Pattichis, M. S. Pattichis. A comparative performance assessment of different video codecs. InInternational Conference on Computer Analysis of Images and Patterns 2023 Sep 20 (pp. 265-275). Cham: Springer Nature Switzerland. Read here.

G. D. Liapi, C. Markides, C. P. Loizou, M. Griffin, A. Nicolaides, E. Kyriacou. Stroke risk stratification using transfer learning on carotid ultrasound images. InInternational Conference on Computer Analysis of Images and Patterns 2023 Sep 20 (pp. 130-139). Cham: Springer Nature Switzerland. Read here.

V. Tzardis, C. P. Loizou, E. Kyriacou. Semi-automated Lesions Segmentation of Brain Metastases in MRI Images. InInternational Conference on Computer Analysis of Images and Patterns 2023 Sep 20 (pp. 216-226). Cham: Springer Nature Switzerland. Read here.

K. P. Constantinou, I. P. Constantinou, M. S. Pattichis, E. Kyriacou, C. S. Pattichis. Carotid plaque stroke risk assessment using multiscale AM-FM analysis based on DoG filterbanks. In2023 24th International Conference on Digital Signal Processing (DSP) 2023 Jun 11 (pp. 1-4). IEEE. Read here.

G. D. Liapi, M. Gemenaris, C. P. Loizou, E. Kyriacou, K. P. Constatninou, A. Nicolaides. Automated segmentation and classification of the atherosclerotic carotid plaque in ultrasound videos. In2023 24th International Conference on Digital Signal Processing (DSP) 2023 Jun 11 (pp. 1-4). IEEE. Read here.

A. Nicolaou, N. Prentzas, C. P. Loizou, M. Pantzaris, A. Kakas, C. S. Pattichis. A comparative study of explainable AI models in the assessment of multiple sclerosis. InInternational Conference on Computer Analysis of Images and Patterns 2023 Sep 20 (pp. 140-148). Cham: Springer Nature Switzerland. Read here.

G. Evripides, P. Christodoulides, C. P. Loizou. Texture Analysis Contribution to Evaluate the Common Carotid Artery’s Cardiovascular Disease (CVD) Risk Using Structural Equation Modeling. InInternational Conference on Computer Analysis of Images and Patterns 2023 Sep 20 (pp. 227-236). Cham: Springer Nature Switzerland. Read here.

A. Nicolaou, A. Kakas, C. S. Pattichis, M. S. Pattichis, K. Fotso, C. P. Loizou, M. Pantzaris. An explainable artificial intelligence model in the assessment of brain MRI lesions in multiple sclerosis using amplitude modulation–frequency modulation multi-scale feature sets. In2023 24th International Conference on Digital Signal Processing (DSP) 2023 Jun 11 (pp. 1-4). IEEE. Read here.

2022

G. Pantelas E. Kyriacou, P. Frangos, Z. Antoniou, R. Constantinou, C. Franjeskos, L. Koulouris, A. Kalavas. eHealth for Emergency and Prehospital Health Care Management- AVARIS. IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2022, Ioannina, Greece, Sep. 27-30, 2022.

A. Nicolaides E. Kyriacou, C. S. Pattichis, A. S. Panayides, G. Liapi, C. Loizou, N. Prentzas, M. S. Pattichis. Identification of unstable carotid plaques associated with symptoms using ultrasonic plaque image and motion analysis – AtheroRisk. IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2022, Ioannina, Greece, Sep. 27-30, 2022.

V. Tzardis, E. Kyriacou, C. P. Loizou, A. Constantinidou A. An automated 2d U-Net segmentation method for the identification of cancer brain metastases using MRI images. InIFIP International Conference on Artificial Intelligence Applications and Innovations 2022 Jun 10 (pp. 161-173). Cham: Springer International Publishing. Read here.

G. D. Liapi, E. Kyriacou, C. P. Loizou, A. S. Panayides, C. S.  Pattichis, A. N. Nicolaides. Deep learning-based segmentation of the atherosclerotic carotid plaque in ultrasonic images. InIFIP International Conference on Artificial Intelligence Applications and Innovations 2022 Jun 10 (pp. 187-198). Cham: Springer International Publishing. Read here.

2021

More available soon.