Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Filntisi, A."'
Autor:
Stavros Pitoglou, Arianna Filntisi, Athanasios Anastasiou, George K. Matsopoulos, Dimitrios Koutsouris
Publikováno v:
Frontiers in Digital Health, Vol 4 (2022)
IntroductionElectronic Health Records (EHRs) are essential data structures, enabling the sharing of valuable medical care information for a diverse patient population and being reused as input to predictive models for clinical research. However, issu
Externí odkaz:
https://doaj.org/article/9f7d0cb30dd04275b51341b668e92bd1
Autor:
Stavros Pitoglou, Arianna Filntisi, Athanasios Anastasiou, George K. Matsopoulos, Dimitrios Koutsouris
Publikováno v:
Applied Sciences, Vol 12, Iss 12, p 5942 (2022)
The object of this paper was the application of machine learning to a clinical dataset that was anonymized using the Mondrian algorithm. (1) Background: The preservation of patient privacy is a necessity rising from the increasing digitization of hea
Externí odkaz:
https://doaj.org/article/d9ce4bf215214c45a5991481cef880d1
Autor:
Athanasios Anastasiou, Dimitris Koutsouris, Arianna Filntisi, Evgenia Parioti, Stavros Pitoglou, Ourania Petropoulou
Publikováno v:
International Journal of Reliable and Quality E-Healthcare. 10:68-81
3D imaging and 3D printing are two methods that have been proven very useful in medicine. The objective of 3D medical imaging is to recreate the static and functional anatomy of the inner body. The development of computational systems for image proce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1425213a40e8a0b8bc8478b80fc670db
https://doi.org/10.4018/ijrqeh.2021070105
https://doi.org/10.4018/ijrqeh.2021070105
Autor:
Evgenia Parioti, Stavros Pitoglou, Arianna Filntisi, Athanasios Anastasiou, Ourania Petropoulou, Dimitris Dionisios Koutsouris
Publikováno v:
Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention ISBN: 9781668475447
3D imaging and 3D printing are two methods that have been proven very useful in medicine. The objective of 3D medical imaging is to recreate the static and functional anatomy of the inner body. The development of computational systems for image proce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7556c6c61259297a525c8bd6482e1d05
https://doi.org/10.4018/978-1-6684-7544-7.ch082
https://doi.org/10.4018/978-1-6684-7544-7.ch082
Autor:
Pitoglou, Stavros, Filntisi, Arianna, Anastasiou, Athanasios, Matsopoulos, George K., Koutsouris, Dimitrios
Publikováno v:
Frontiers in Digital Health. 4
IntroductionElectronic Health Records (EHRs) are essential data structures, enabling the sharing of valuable medical care information for a diverse patient population and being reused as input to predictive models for clinical research. However, issu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8de99ab117811815472872bc58f35b48
https://doi.org/10.3389/fdgth.2022.841853
https://doi.org/10.3389/fdgth.2022.841853
Publikováno v:
Cancer Informatics, Vol 2014, Iss 13, Pp 179-186 (2014)
Externí odkaz:
https://doaj.org/article/8d38076ef3c0453fa8ab027a2a80086e
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Filntisi, Arianna1, Fotakis, Charalambos2, Asvestas, Pantelis3, Matsopoulos, George1, Zoumpoulakis, Panagiotis2 pzoump@eie.gr, Cavouras, Dionisis3
Publikováno v:
Metabolomics. Dec2017, Vol. 13 Issue 12, p1-7. 7p.
Autor:
Parioti, Evgenia, Pitoglou, Stavros, Filntisi, Arianna, Anastasiou, Athanasios, Petropoulou, Ourania, Koutsouris, Dimitris Dionisios
Publikováno v:
International Journal of Reliable & Quality E-Healthcare; JUl-Sep2021, Vol. 10 Issue 3, p1-14, 14p
Autor:
Dionisis Cavouras, Pantelis A. Asvestas, Panagiotis Zoumpoulakis, George K. Matsopoulos, Charalambos Fotakis, Arianna Filntisi
Publikováno v:
Metabolomics. 13
Metabolite identification in biological samples using Nuclear Magnetic Resonance (NMR) spectra is a challenging task due to the complexity of the biological matrices. This paper introduces a new, automated computational scheme for the identification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04a469d1e38c5d99f3b1c875d1b2272d
https://doi.org/10.1007/s11306-017-1286-8
https://doi.org/10.1007/s11306-017-1286-8