Δημοσιεύσεις

Κατάλογος ενδεικτικών δημοσιεύσεων του τμήματος Ιατρικής ΑΠΘ σε διεθνή επιστημονικά περιοδικά κατά τα τελευταία 5 έτη.

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Φίλτρα: Συντάκτης is Maglaveras, Nicos  [Clear All Filters]
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G
Zarpalas, D., Gkontra P., Daras P., & Maglaveras N. (2014).  Gradient-based reliability maps for ACM-based segmentation of hippocampus.. IEEE Trans Biomed Eng. 61(4), 1015-26.
Athanasiadis, P., Malousi A., Kouidou S., & Maglaveras N. (2013).  GREMET: an integrative tool for the prediction of mutation effects on gene regulation.. Comput Methods Programs Biomed. 111(1), 214-9.
Maglaveras, N., Bonato P., & Tamura T. (2010).  Guest editorial. Special section on personal health systems.. IEEE Trans Inf Technol Biomed. 14(2), 360-3.
H
Reiter, H., & Maglaveras N. (2009).  HeartCycle: compliance and effectiveness in HF and CAD closed-loop management.. Conf Proc IEEE Eng Med Biol Soc. 2009, 299-302.
I
Akrivos, E., Papaioannou V., Maglaveras N., & Chouvarda I. (2017).  IFMBE ProceedingsPrecision Medicine Powered by pHealth and Connected HealthPrediction of Cardiac Arrest in Intensive Care Patients Through Machine Learning. (Maglaveras, N., Chouvarda I., & de Carvalho P., Ed.).IFMBE Proceedings: Precision Medicine Powered by pHealth and Connected Health. 66, 25 - 29.
Nies, J., Koutkias V., Kilintzis V., Guillot B., Maglaveras N., Pedersen H. Gliese, et al. (2011).  Information contextualization in decision support modules for adverse drug event prevention.. Stud Health Technol Inform. 166, 95-104.
Kavakiotis, I., Xochelli A., Agathangelidis A., Tsoumakas G., Maglaveras N., Stamatopoulos K., et al. (2016).  Integrating multiple immunogenetic data sources for feature extraction and mining somatic hypermutation patterns: the case of "towards analysis" in chronic lymphocytic leukaemia.. BMC Bioinformatics. 17 Suppl 5, 173.
Maramis, C., Gkoufas A., Vardi A., Stalika E., Stamatopoulos K., Hatzidimitriou A., et al. (2018).  IRProfiler – a software toolbox for high throughput immune receptor profiling. BMC Bioinformatics. 19(1), 
Maramis, C., Gkoufas A., Vardi A., Stalika E., Stamatopoulos K., Hatzidimitriou A., et al. (2018).  IRProfiler - a software toolbox for high throughput immune receptor profiling.. BMC Bioinformatics. 19(1), 144.
K
Koutkias, V., Kilintzis V., Stalidis G., Lazou K., Nies J., Durand-Texte L., et al. (2012).  Knowledge engineering for adverse drug event prevention: on the design and development of a uniform, contextualized and sustainable knowledge-based framework.. J Biomed Inform. 45(3), 495-506.
Koutkias, V., Stalidis G., Chouvarda I., Lazou K., Kilintzis V., & Maglaveras N. (2009).  A knowledge engineering framework towards clinical support for adverse drug event prevention: the PSIP approach.. Stud Health Technol Inform. 148, 131-41.
L
Gaveikaite, V., Filos D., Schonenberg H., van der Heijden R., Maglaveras N., & Chouvarda I. (2018).  Learning Healthcare Systems: Scaling-Up Integrated Care Programs.. Stud Health Technol Inform. 247, 825-829.
Kouidou, S., Malousi A., & Maglaveras N. (2009).  Li-Fraumeni and Li-Fraumeni-like syndrome mutations in p53 are associated with exonic methylation and splicing regulatory elements.. Mol Carcinog. 48(10), 895-902.
M
Kavakiotis, I., Tsave O., Salifoglou A., Maglaveras N., Vlahavas I., & Chouvarda I. (2017).  Machine Learning and Data Mining Methods in Diabetes Research. Computational and Structural Biotechnology Journal. 15, 104 - 116.
Kavakiotis, I., Tsave O., Salifoglou A., Maglaveras N., Vlahavas I., & Chouvarda I. (2017).  Machine Learning and Data Mining Methods in Diabetes Research.. Comput Struct Biotechnol J. 15, 104-116.
N
Chouvarda, I., Gkontra P., Kokonozi A., Semertzidis P., Caffarel J., & Maglaveras N. (2011).  Novel approaches for medication compliance and effectiveness analysis and support in cardiovascular disease patients.. Conf Proc IEEE Eng Med Biol Soc. 2011, 888-91.
Kilintzis, V., Pappas T., Chouvarda I., Salonikiou A., Maglaveras N., Dimitrakos S., et al. (2011).  Novel Heidelberg retina tomograph-based morphological parameters derived from optic disc cupping surface processing.. Invest Ophthalmol Vis Sci. 52(2), 947-51.
Vassilikos, V., Dakos G., Chatzizisis Y. S., Chouvarda I., Karvounis C., Maynard C., et al. (2011).  Novel non-invasive P wave analysis for the prediction of paroxysmal atrial fibrillation recurrences in patients without structural heart disease: a prospective pilot study.. Int J Cardiol. 153(2), 165-72.
O
Kostopoulos, K., Chouvarda I., Koutkias V., Kokonozi A., van Gils M., & Maglaveras N. (2011).  An ontology-based framework aiming to support personalized exercise prescription: application in cardiac rehabilitation.. Conf Proc IEEE Eng Med Biol Soc. 2011, 1567-70.
Rocha, B. M., Filos D., Mendes L., Serbes G., Ulukaya S., Kahya Y. P., et al. (2019).  An open access database for the evaluation of respiratory sound classification algorithms.. Physiol Meas. 40(3), 035001.
P
Dakos, G., Konstantinou D., Chatzizisis Y. S., Chouvarda I., Filos D., Paraskevaidis S., et al. (2015).  P wave analysis with wavelets identifies hypertensive patients at risk of recurrence of atrial fibrillation: A case-control study and 1year follow-up.. J Electrocardiol. 48(5), 845-52.
Beuscart, R., McNair P., Darmoni S. J., Koutkia V., Maglaveras N., Beuscart-Zephir M-C., et al. (2009).  Patient safety: detection and prevention of adverse drug events.. Stud Health Technol Inform. 150, 968-71.
Koutkias, V., Nies J., Jensen S., Maglaveras N., & Beuscart R. (2011).  Patient safety informatics.. Stud Health Technol Inform. 166, v-vi.
Koumaditis, K., Themistocleous M., Vassilacopoulos G., Prentza A., Kyriazis D., Malamateniou F., et al. (2014).  Patient-Centered e-Health Record over the Cloud.. Stud Health Technol Inform. 202, 193-6.
Girasis, C., Vassilikos V., Efthimiadis G. K., Papadopoulou S-L., Dakos G., Dalamaga E. G., et al. (2013).  Patients with hypertrophic cardiomyopathy at risk for paroxysmal atrial fibrillation: advanced echocardiographic evaluation of the left atrium combined with non-invasive P-wave analysis.. Eur Heart J Cardiovasc Imaging. 14(5), 425-34.

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