Fotiadis DI - Search Results

1

Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes.

Skaramagkas V, Giannakakis G, Ktistakis E, Manousos D, Karatzanis I, Tachos N, Tripoliti E, Marias K, Fotiadis DI, Tsiknakis M. Skaramagkas V, et al. Among authors: fotiadis di. IEEE Rev Biomed Eng. 2023;16:260-277. doi: 10.1109/RBME.2021.3066072. Epub 2023 Jan 5. IEEE Rev Biomed Eng. 2023. PMID: 33729950 Review.

2

Automated segmentation and quantification of inflammatory tissue of the hand in rheumatoid arthritis patients using magnetic resonance imaging data.

Tripoliti EE, Fotiadis DI, Argyropoulou M. Tripoliti EE, et al. Among authors: fotiadis di. Artif Intell Med. 2007 Jun;40(2):65-85. doi: 10.1016/j.artmed.2007.02.003. Epub 2007 Mar 30. Artif Intell Med. 2007. PMID: 17399962

3

A supervised method to assist the diagnosis of Alzheimer's disease based on functional magnetic resonance imaging.

Tripoliti EE, Fotiadis DI, Argyropoulou M. Tripoliti EE, et al. Among authors: fotiadis di. Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:3426-9. doi: 10.1109/IEMBS.2007.4353067. Annu Int Conf IEEE Eng Med Biol Soc. 2007. PMID: 18002733

4

A supervised method to assist the diagnosis and classification of the status of Alzheimer's disease using data from an fMRI experiment.

Tripoliti EE, Fotiadis DI, Argyropoulou M. Tripoliti EE, et al. Among authors: fotiadis di. Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:4419-22. doi: 10.1109/IEMBS.2008.4650191. Annu Int Conf IEEE Eng Med Biol Soc. 2008. PMID: 19163694

5

A six stage approach for the diagnosis of the Alzheimer's disease based on fMRI data.

Tripoliti EE, Fotiadis DI, Argyropoulou M, Manis G. Tripoliti EE, et al. Among authors: fotiadis di. J Biomed Inform. 2010 Apr;43(2):307-20. doi: 10.1016/j.jbi.2009.10.004. Epub 2009 Oct 31. J Biomed Inform. 2010. PMID: 19883796 Free article.

6

A bayesian spatio - temporal approach for the analysis of FMRI data with non - stationary noise.

Oikonomou VP, Tripoliti EE, Fotiadis DI. Oikonomou VP, et al. Among authors: fotiadis di. Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:4444-8. doi: 10.1109/IEMBS.2009.5334281. Annu Int Conf IEEE Eng Med Biol Soc. 2009. PMID: 19964825

7

Bayesian methods for FMRI time-series analysis using a nonstationary model for the noise.

Oikonomou VP, Tripoliti EE, Fotiadis DI. Oikonomou VP, et al. Among authors: fotiadis di. IEEE Trans Inf Technol Biomed. 2010 May;14(3):664-74. doi: 10.1109/TITB.2009.2039712. Epub 2010 Jan 29. IEEE Trans Inf Technol Biomed. 2010. PMID: 20123577

8

A supervised method to assist the diagnosis and monitor progression of Alzheimer's disease using data from an fMRI experiment.

Tripoliti EE, Fotiadis DI, Argyropoulou M. Tripoliti EE, et al. Among authors: fotiadis di. Artif Intell Med. 2011 Sep;53(1):35-45. doi: 10.1016/j.artmed.2011.05.005. Epub 2011 Jun 23. Artif Intell Med. 2011. PMID: 21703828

9

Automated diagnosis of diseases based on classification: dynamic determination of the number of trees in random forests algorithm.

Tripoliti EE, Fotiadis DI, Manis G. Tripoliti EE, et al. Among authors: fotiadis di. IEEE Trans Inf Technol Biomed. 2012 Jul;16(4):615-22. doi: 10.1109/TITB.2011.2175938. Epub 2011 Nov 14. IEEE Trans Inf Technol Biomed. 2012. PMID: 22106154

10

Predicting adherence of patients with HF through machine learning techniques.

Karanasiou GS, Tripoliti EE, Papadopoulos TG, Kalatzis FG, Goletsis Y, Naka KK, Bechlioulis A, Errachid A, Fotiadis DI. Karanasiou GS, et al. Among authors: fotiadis di. Healthc Technol Lett. 2016 Sep 27;3(3):165-170. doi: 10.1049/htl.2016.0041. eCollection 2016 Sep. Healthc Technol Lett. 2016. PMID: 27733922 Free PMC article.

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