Items where Author is "Liatsis, P."
Rahman, E., Liatsis, P., Hashim, Z. Q. , Kyriacou, P. A. 
ORCID: 0000-0002-2868-485X & Triantis, I. F. ORCID: 0000-0002-8900-781X (2024).
A Quadruple-Sweep Bioimpedance Sensing Method for Arterial Stenosis Detection.
IEEE Access, 12,
pp. 18594-18605.
doi: 10.1109/access.2024.3356564
Saadat Beheshti, S. M. R., Liatsis, P. & Rajarajan, M. (2017). A CAPTCHA model based on visual psychophysics: Using the brain to distinguish between human users and automated computer bots. Computers and Security, 70, pp. 596-617. doi: 10.1016/j.cose.2017.08.006
Jawaid, M. M., Rajani, R., Liatsis, P. , Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 & Slabaugh, G. G. (2017).
Improved CTA Coronary Segmentation with a Volume-Specific Intensity Threshold.
Paper presented at the Medical Image Understanding and Analysis (MIUA) 2017, 11 Jul 2017, Edinburgh, UK.
Jawaid, M. M., Rajani, R., Liatsis, P. , Reyes-Aldasoro, C. C. & Slabaugh, G. G. (2017). A Hybrid Energy Model for Region Based Curve Evolution - Application to CTA Coronary Segmentation. Computer Methods and Programs in Biomedicine, 144, pp. 189-202. doi: 10.1016/j.cmpb.2017.03.020
Uus, A., Liatsis, P., Slabaugh, G. G. , Anagnostis, A., Roberts, S. & Twist, S. (2016). Trend Deviation Analysis for Automated Detection of Defects in GPR Data for Road Condition Surveys. Proceedings of the 23rd International Conference on Systems, Signals and Image Processing (IWSSIP 2016), doi: 10.1109/IWSSIP.2016.7502765
Miah, S., Kaparias, I. & Liatsis, P. (2015). Development and testing of a prototype instrumented bicycle model for the prevention of cyclist accidents. Paper presented at the 47th Annual Conference of the Universities’ Transport Study Group, 05-01-2015 - 07-01-2015, City University London, UK.
Zifan, A., Liatsis, P. & Chapman, B. E. (2013). The use of the Kalman filter in the automated segmentation of EIT lung images. Physiological Measurement, 34(6), pp. 671-694. doi: 10.1088/0967-3334/34/6/671
Kantartzis, P., Abdi, M. & Liatsis, P. (2013). Stimulation and measurement patterns versus prior information for fast 3D EIT: A breast screening case study. Signal Processing, 93(10), pp. 2838-2850. doi: 10.1016/j.sigpro.2012.06.027
Wang, Y. & Liatsis, P. (2012). 3-D Quantitative Vascular Shape Analysis for Arterial Bifurcations via Dynamic Tube Fitting. IEEE Transactions on Biomedical Engineering, 59(7), pp. 1850-1860. doi: 10.1109/tbme.2011.2179654
Wang, Y. & Liatsis, P. (2012). Automatic Segmentation of Coronary Arteries in CT Imaging in the Presence of Kissing Vessel Artifacts. IEEE Transactions on Information Technology in Biomedicine, 16(4), pp. 782-788. doi: 10.1109/titb.2012.2192286
Liatsis, P., Nazarboland, M. A., Goulermas, J. Y. , Zeng, X. J. & Milonidis, E. (2008). Automating the processing of cDNA microarray images. International Journal of Intelligent Systems Technologies and Applications, 5(1-2), pp. 115-144. doi: 10.1504/ijista.2008.018170
Zifan, A., Liatsis, P., Kantartzis, P. , Gavaises, M., Karcanias, N. & Katritsis, D. G. (2008). Automatic 3D Reconstruction of Coronary Artery Centerlines from Monoplane X-ray Angiogram Images. International Journal of Biological and Medical Sciences, 1(1), pp. 44-49.