Zobrazeno 1 - 10
of 206
pro vyhledávání: '"George C Kagadis"'
Autor:
Konstantia Tsioupinaki, Stavros Spiliopoulos, Dimitris Karnabatidis, George Loudos, George C Nikiforidis, George C Kagadis
Publikováno v:
Frontiers in Biomedical Technologies, Vol 1, Iss 1 (2014)
Purpose: Integrin α β is a promising imaging target of angiogenic activity which is up-regulated on activated but not on quiescent endothelial cells. Molecular imaging of α β integrin expression with the aid of a dedicated high resolution gamma c
Externí odkaz:
https://doaj.org/article/0e03daf96dda4ef09118d808ee361413
Autor:
Ioanna Stamouli, Thomas Nanos, Konstantinos Chatzipapas, Panagiotis Papadimitroulas, Lydia-Aggeliki Zoglopitou, Theodoros Kalathas, Paraskevi F. Katsakiori, Anna Makridou, George C. Kagadis
Publikováno v:
Applied Sciences, Vol 13, Iss 17, p 9836 (2023)
This study aimed to compare the commercial dosimetric software Planet® Dose (version 3.1.1) from DOSIsoft and the open-source toolkit GATE. Dosimetry was performed for six patients receiving 200 mCi of Lutathera® every 8 weeks for four treatment cy
Externí odkaz:
https://doaj.org/article/4f9aeec6f2ba4cc9a3d31b3b7e1c16a9
Autor:
Maritina Rouchota, Alessio Adamiano, Michele Iafisco, Eirini Fragogeorgi, Irineos Pilatis, Gilles Doumont, Sébastien Boutry, Daniele Catalucci, Argyro Zacharioudaki, George C. Kagadis
Publikováno v:
Molecular Imaging, Vol 2021 (2021)
Molecular imaging holds great promise in the noninvasive monitoring of several diseases with nanoparticles (NPs) being considered an efficient imaging tool for cancer, central nervous system, and heart- or bone-related diseases and for disorders of t
Externí odkaz:
https://doaj.org/article/909b2119d71241159cbfe4149787db6d
Autor:
Trifon Spyridonidis, Konstantinos A. Mountris, Dimitris Visvikis, John D. Hazle, Panagiotis Papadimitroulas, Dimitris Plachouris, Dimitris J. Apostolopoulos, George C. Kagadis, Konstantinos Katsanos, Nikolaos D. Papathanasiou
Publikováno v:
Cancer Biotherapy and Radiopharmaceuticals. 36:809-819
Background: The purpose of this study was to develop a rapid, reliable, and efficient tool for three-dimensional (3D) dosimetry treatment planning and post-treatment evaluation of liver radioemboli...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e38921a0a2164efa82eebb3d7daadb67
https://doi.org/10.1089/cbr.2020.4554
https://doi.org/10.1089/cbr.2020.4554
Autor:
Nikolaos D. Papathanasiou, John D. Hazle, George C. Kagadis, Ilias Gatos, Panagiotis Papadimitroulas, Dimitris J. Apostolopoulos, Dimitris Visvikis, Trifon Spyridonidis, Dimitris Plachouris, Kerasia Maria Plachouri, Ioannis Tzolas
Publikováno v:
Medical Physics. 48:7427-7438
Background Radioembolization with 90 Y microspheres is a treatment approach for liver cancer. Currently employed dosimetric calculations exhibit low accuracy, lacking consideration of individual patient and tissue characteristics. Purpose The purpose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0850763ca0531a8ba4637d646d73e8e5
https://doi.org/10.1002/mp.15270
https://doi.org/10.1002/mp.15270
Autor:
Konstantinos P. Chatzipapas, Niko Papanikolaou, Panagiotis Papadimitroulas, George C. Kagadis, George Loudos
Publikováno v:
Medical Physics. 48:2624-2636
PURPOSE This study proposes a novel computational platform that we refer to as IDDRRA (DNA Damage Response to Ionizing RAdiation), which uses Monte Carlo (MC) simulations to score radiation induced DNA damage. MC simulations provide results of high a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac8028b14723809055bbc4af4d729911
https://doi.org/10.1002/mp.14817
https://doi.org/10.1002/mp.14817
Autor:
P.I. Lønne, S. Ken, Mika Kortesniemi, Gabriele Guidi, Federica Zanca, Osvaldo Rampado, Habib Zaidi, Oliver Diaz, W. Crijns, G.A. Zakaria, I. Hernandez-Giron, George C. Kagadis, Niall Colgan, Michele Avanzo
Publikováno v:
Physica Medica, Vol. 83 (2021) pp. 174-183
Physica Medica, 83, 174-183. ELSEVIER SCI LTD
Physica Medica, 83, 174-183. ELSEVIER SCI LTD
Purpose To provide a guideline curriculum related to Artificial Intelligence (AI), for the education and training of European Medical Physicists (MPs). Materials and methods The proposed curriculum consists of two levels: Basic (introducing MPs to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65d4c724869ab676fb2bd6b920095596
https://doi.org/10.1016/j.ejmp.2021.01.069
https://doi.org/10.1016/j.ejmp.2021.01.069
Autor:
Vassilios C. Loukopoulos, Michael Pissas, Eleni K. Efthimiadou, Vassilis Psycharis, George Kordas, George C. Kagadis, Costas Papadopoulos, David Fuentes, Nikolaos Boukos
Publikováno v:
Physica Medica. 71:39-52
Purpose The purpose of this study is to employ magnetic fluid hyperthermia simulations in the precise computation of Specific Absorption Rate functions -SAR(T)-, and in the evaluation of the predictive capacity of different SAR calculation methods. M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6820f10fd23a3aa4a140cdbe623d748d
https://doi.org/10.1016/j.ejmp.2020.02.011
https://doi.org/10.1016/j.ejmp.2020.02.011
Autor:
Dimitris, Plachouris, Ioannis, Tzolas, Ilias, Gatos, Panagiotis, Papadimitroulas, Trifon, Spyridonidis, Dimitris, Apostolopoulos, Nikolaos, Papathanasiou, Dimitris, Visvikis, Kerasia-Maria, Plachouri, John D, Hazle, George C, Kagadis
Publikováno v:
Medical physicsREFERENCES. 48(11)
Radioembolization withThe purpose of the present study was to employ deep learning (DL) algorithms to differentiate patterns of pretreatment distribution ofData for 19 patients with liver cancer (10 with hepatocellular carcinoma, 5 with intrahepatic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f3f3a01b54b13497d94fc69989e8bfdc
https://pubmed.ncbi.nlm.nih.gov/34628667
https://pubmed.ncbi.nlm.nih.gov/34628667
Autor:
Dimitrios S. Lampropoulos, Karol Miller, Benjamin F. Zwick, Adam Wittek, George C. Kagadis, George C. Bourantas, Vassilios C. Loukopoulos
Publikováno v:
International Journal for Numerical Methods in Biomedical Engineering. 37
We use computational fluid dynamics (CFD) to simulate blood flow in intracranial aneurysms (IAs). Despite ongoing improvements in the accuracy and efficiency of body-fitted CFD solvers, generation of a high quality mesh appears as the bottleneck of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb181835970198af0740e79913328990
https://doi.org/10.1002/cnm.3524
https://doi.org/10.1002/cnm.3524