Rigas G - Search Results

1

Application of chemometric methods for assessment and modelling of microbiological quality data concerning coastal bathing water in Greece.

Papaioannou A, Rigas G, Papastergiou P, Hadjichristodoulou C. Papaioannou A, et al. Among authors: rigas g. J Public Health Res. 2014 Dec 10;3(3):357. doi: 10.4081/jphr.2014.357. eCollection 2014 Dec 2. J Public Health Res. 2014. PMID: 25553315 Free PMC article.

2

Assessment of Groundwater Quality by Chemometrics.

Papaioannou A, Rigas G, Kella S, Lokkas F, Dinouli D, Papakonstantinou A, Spiliotis X, Plageras P. Papaioannou A, et al. Among authors: rigas g. Water Environ Res. 2016 Jul;88(7):631-43. doi: 10.2175/106143016X14609975746523. Water Environ Res. 2016. PMID: 27329059

3

Assessment and modeling of routinely used biochemical laboratory data of healthy individuals and end-stage renal failure (ESRF) patients by three different chemometric methods.

Papaioannou A, Rigas G, Plageras P, Karikas GA, Karamanis G. Papaioannou A, et al. Among authors: rigas g. J Clin Lab Anal. 2013 May;27(3):211-9. doi: 10.1002/jcla.21586. J Clin Lab Anal. 2013. PMID: 23686778 Free PMC article.

4

Prediction of time dependent survival in HF patients after VAD implantation using pre- and post-operative data.

Kourou K, Rigas G, Exarchos KP, Goletsis Y, Exarchos TP, Jacobs S, Meyns B, Trivella MG, Fotiadis DI. Kourou K, et al. Among authors: rigas g. Comput Biol Med. 2016 Mar 1;70:99-105. doi: 10.1016/j.compbiomed.2016.01.005. Epub 2016 Jan 12. Comput Biol Med. 2016. PMID: 26820445

5

Modeling and simulation of speed selection on left ventricular assist devices.

Tzallas AT, Katertsidis NS, Karvounis EC, Tsipouras MG, Rigas G, Goletsis Y, Zielinski K, Fresiello L, Molfetta AD, Ferrari G, Terrovitis JV, Trivella MG, Fotiadis DI. Tzallas AT, et al. Among authors: rigas g. Comput Biol Med. 2014 Aug;51:128-39. doi: 10.1016/j.compbiomed.2014.04.013. Epub 2014 May 9. Comput Biol Med. 2014. PMID: 24907416

6

A dynamic Bayesian network approach for time-specific survival probability prediction in patients after ventricular assist device implantation.

Exarchos TP, Rigas G, Goletsis Y, Stefanou K, Jacobs S, Trivella MG, Fotiadis DI. Exarchos TP, et al. Among authors: rigas g. Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:3172-5. doi: 10.1109/EMBC.2014.6944296. Annu Int Conf IEEE Eng Med Biol Soc. 2014. PMID: 25570664

7

Cancer classification from time series microarray data through regulatory Dynamic Bayesian Networks.

Kourou K, Rigas G, Papaloukas C, Mitsis M, Fotiadis DI. Kourou K, et al. Among authors: rigas g. Comput Biol Med. 2020 Jan;116:103577. doi: 10.1016/j.compbiomed.2019.103577. Epub 2019 Dec 9. Comput Biol Med. 2020. PMID: 32001012

8

Computerized methodology for micro-CT and histological data inflation using an IVUS based translation map.

Athanasiou LS, Rigas GA, Sakellarios AI, Exarchos TP, Siogkas PK, Naka KK, Panetta D, Pelosi G, Vozzi F, Michalis LK, Parodi O, Fotiadis DI. Athanasiou LS, et al. Among authors: rigas ga. Comput Biol Med. 2015 Oct 1;65:168-76. doi: 10.1016/j.compbiomed.2015.02.018. Epub 2015 Mar 6. Comput Biol Med. 2015. PMID: 25771781

9

An automated methodology for levodopa-induced dyskinesia: assessment based on gyroscope and accelerometer signals.

Tsipouras MG, Tzallas AT, Rigas G, Tsouli S, Fotiadis DI, Konitsiotis S. Tsipouras MG, et al. Among authors: rigas g. Artif Intell Med. 2012 Jun;55(2):127-35. doi: 10.1016/j.artmed.2012.03.003. Epub 2012 Apr 7. Artif Intell Med. 2012. PMID: 22484102

10

A three-dimensional quantification of calcified and non-calcified plaques in coronary arteries based on computed tomography coronary angiography images: Comparison with expert's annotations and virtual histology intravascular ultrasound.

Kigka VI, Sakellarios A, Kyriakidis S, Rigas G, Athanasiou L, Siogkas P, Tsompou P, Loggitsi D, Benz DC, Buechel R, Lemos PA, Pelosi G, Michalis LK, Fotiadis DI. Kigka VI, et al. Among authors: rigas g. Comput Biol Med. 2019 Oct;113:103409. doi: 10.1016/j.compbiomed.2019.103409. Epub 2019 Aug 27. Comput Biol Med. 2019. PMID: 31480007

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