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Evanthia E Tripoliti

Showing results (1-10 of 29) with videos related to

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Artificial Intelligence in Medicine|April 3, 2007
Automated segmentation and quantification of inflammatory tissue of the hand in rheumatoid arthritis patients using magnetic resonance imaging dataEvanthia E Tripoliti, Dimitrios I Fotiadis, Maria Argyropoulou
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|November 23, 2011
Automated diagnosis of diseases based on classification: dynamic determination of the number of trees in random forests algorithmEvanthia E Tripoliti, Dimitrios I Fotiadis, George Manis
Artificial Intelligence in Medicine|June 28, 2011
A supervised method to assist the diagnosis and monitor progression of Alzheimer's disease using data from an fMRI experimentEvanthia E Tripoliti, Dimitrios I Fotiadis, Maria Argyropoulou
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
A supervised method to assist the diagnosis and classification of the status of Alzheimer's disease using data from an fMRI experimentEvanthia E Tripoliti, Dimitrios I Fotiadis, Maria Argyropoulou
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
A supervised method to assist the diagnosis of Alzheimer's disease based on functional magnetic resonance imagingEvanthia E Tripoliti, Dimitrios I Fotiadis, Maria Argyropoulou
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
A bayesian spatio - temporal approach for the analysis of FMRI data with non - stationary noiseVangelis P Oikonomou, Evanthia E Tripoliti, Dimitrios I Fotiadis
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|February 4, 2010
Bayesian methods for FMRI time-series analysis using a nonstationary model for the noiseVangelis P Oikonomou, Evanthia E Tripoliti, Dimitrios I Fotiadis
Journal of Biomedical Informatics|November 4, 2009
A six stage approach for the diagnosis of the Alzheimer's disease based on fMRI dataEvanthia E Tripoliti, Dimitrios I Fotiadis, Maria Argyropoulou, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Segmentation and volume quantification of MR Images for the detection and monitoring multiple sclerosis progressionStyliani P Zelilidou, Evanthia E Tripoliti, Kostas I Vlachos, et al.
Advances in Experimental Medicine and Biology|October 6, 2017
The Evolution of mHealth Solutions for Heart Failure ManagementEvanthia E Tripoliti, Georgia S Karanasiou, Fanis G Kalatzis, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Artificial Intelligence in Medicine|April 3, 2007
Automated segmentation and quantification of inflammatory tissue of the hand in rheumatoid arthritis patients using magnetic resonance imaging dataEvanthia E Tripoliti, Dimitrios I Fotiadis, Maria Argyropoulou
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|November 23, 2011
Automated diagnosis of diseases based on classification: dynamic determination of the number of trees in random forests algorithmEvanthia E Tripoliti, Dimitrios I Fotiadis, George Manis
Artificial Intelligence in Medicine|June 28, 2011
A supervised method to assist the diagnosis and monitor progression of Alzheimer's disease using data from an fMRI experimentEvanthia E Tripoliti, Dimitrios I Fotiadis, Maria Argyropoulou
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
A supervised method to assist the diagnosis and classification of the status of Alzheimer's disease using data from an fMRI experimentEvanthia E Tripoliti, Dimitrios I Fotiadis, Maria Argyropoulou
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
A supervised method to assist the diagnosis of Alzheimer's disease based on functional magnetic resonance imagingEvanthia E Tripoliti, Dimitrios I Fotiadis, Maria Argyropoulou
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
A bayesian spatio - temporal approach for the analysis of FMRI data with non - stationary noiseVangelis P Oikonomou, Evanthia E Tripoliti, Dimitrios I Fotiadis
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|February 4, 2010
Bayesian methods for FMRI time-series analysis using a nonstationary model for the noiseVangelis P Oikonomou, Evanthia E Tripoliti, Dimitrios I Fotiadis
Journal of Biomedical Informatics|November 4, 2009
A six stage approach for the diagnosis of the Alzheimer's disease based on fMRI dataEvanthia E Tripoliti, Dimitrios I Fotiadis, Maria Argyropoulou, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Segmentation and volume quantification of MR Images for the detection and monitoring multiple sclerosis progressionStyliani P Zelilidou, Evanthia E Tripoliti, Kostas I Vlachos, et al.
Advances in Experimental Medicine and Biology|October 6, 2017
The Evolution of mHealth Solutions for Heart Failure ManagementEvanthia E Tripoliti, Georgia S Karanasiou, Fanis G Kalatzis, et al.
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