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Alexandros C Dimopoulos

Showing results (1-10 of 11) with videos related to

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Methods and Protocols|October 26, 2021
Combining Multiple RNA-Seq Data Analysis Algorithms Using Machine Learning Improves Differential Isoform Expression AnalysisAlexandros C Dimopoulos, Konstantinos Koukoutegos, Fotis E Psomopoulos, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|April 12, 2012
Comparison of block matching and differential methods for motion analysis of the carotid artery wall from ultrasound imagesSpyretta Golemati, John S Stoitsis, Aimilia Gastounioti, et al.
Journal of Agricultural and Food Chemistry|November 3, 2009
Detection and isolation of antiatherogenic and antioxidant substances present in olive mill wastes by a novel filtration systemGeorge Stamatakis, Nektaria Tsantila, Martina Samiotaki, et al.
The British Journal of Nutrition|May 24, 2018
A comparison of statistical and machine-learning techniques in evaluating the association between dietary patterns and 10-year cardiometabolic risk (2002-2012): the ATTICA studyDimitris Panaretos, Efi Koloverou, Alexandros C Dimopoulos, et al.
Scientific Reports|June 3, 2026
Mapping the AI life sciences landscape in Greece: a bibliometric comparison with global patternsEleni Adamidi, Serafeim Chatzopoulos, Alexandros C Dimopoulos, et al.
Medical Science Monitor : International Medical Journal of Experimental and Clinical Research|March 18, 2019
Sociodemographic Indicators of Health Status Using a Machine Learning Approach and Data from the English Longitudinal Study of Aging (ELSA)Worrawat Engchuan, Alexandros C Dimopoulos, Stefanos Tyrovolas, et al.
Frontiers in Genetics|November 5, 2019
Exome Sequencing in <i>BRCA1-</i> and <i>BRCA2</i>-Negative Greek Families Identifies <i>MDM1</i> and <i>NBEAL1</i> as Candidate Risk Genes for Hereditary Breast CancerStavros Glentis, Alexandros C Dimopoulos, Konstantinos Rouskas, et al.
BMC Medical Research Methodology|December 31, 2018
Machine learning methodologies versus cardiovascular risk scores, in predicting disease riskAlexandros C Dimopoulos, Mara Nikolaidou, Francisco Félix Caballero, et al.
BMC Genomics|August 5, 2023
Identifying novel regulatory effects for clinically relevant genes through the study of the Greek populationKonstantinos Rouskas, Efthymia A Katsareli, Charalampia Amerikanou, et al.
Plos Computational Biology|May 22, 2020
Ten simple rules for making training materials FAIRLeyla Garcia, Bérénice Batut, Melissa L Burke, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Methods and Protocols|October 26, 2021
Combining Multiple RNA-Seq Data Analysis Algorithms Using Machine Learning Improves Differential Isoform Expression AnalysisAlexandros C Dimopoulos, Konstantinos Koukoutegos, Fotis E Psomopoulos, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|April 12, 2012
Comparison of block matching and differential methods for motion analysis of the carotid artery wall from ultrasound imagesSpyretta Golemati, John S Stoitsis, Aimilia Gastounioti, et al.
Journal of Agricultural and Food Chemistry|November 3, 2009
Detection and isolation of antiatherogenic and antioxidant substances present in olive mill wastes by a novel filtration systemGeorge Stamatakis, Nektaria Tsantila, Martina Samiotaki, et al.
The British Journal of Nutrition|May 24, 2018
A comparison of statistical and machine-learning techniques in evaluating the association between dietary patterns and 10-year cardiometabolic risk (2002-2012): the ATTICA studyDimitris Panaretos, Efi Koloverou, Alexandros C Dimopoulos, et al.
Scientific Reports|June 3, 2026
Mapping the AI life sciences landscape in Greece: a bibliometric comparison with global patternsEleni Adamidi, Serafeim Chatzopoulos, Alexandros C Dimopoulos, et al.
Medical Science Monitor : International Medical Journal of Experimental and Clinical Research|March 18, 2019
Sociodemographic Indicators of Health Status Using a Machine Learning Approach and Data from the English Longitudinal Study of Aging (ELSA)Worrawat Engchuan, Alexandros C Dimopoulos, Stefanos Tyrovolas, et al.
Frontiers in Genetics|November 5, 2019
Exome Sequencing in <i>BRCA1-</i> and <i>BRCA2</i>-Negative Greek Families Identifies <i>MDM1</i> and <i>NBEAL1</i> as Candidate Risk Genes for Hereditary Breast CancerStavros Glentis, Alexandros C Dimopoulos, Konstantinos Rouskas, et al.
BMC Medical Research Methodology|December 31, 2018
Machine learning methodologies versus cardiovascular risk scores, in predicting disease riskAlexandros C Dimopoulos, Mara Nikolaidou, Francisco Félix Caballero, et al.
BMC Genomics|August 5, 2023
Identifying novel regulatory effects for clinically relevant genes through the study of the Greek populationKonstantinos Rouskas, Efthymia A Katsareli, Charalampia Amerikanou, et al.
Plos Computational Biology|May 22, 2020
Ten simple rules for making training materials FAIRLeyla Garcia, Bérénice Batut, Melissa L Burke, et al.
Pageof 2