Zobrazeno 1 - 10
of 752
pro vyhledávání: '"S. Ioannidis"'
Publikováno v:
International Journal of Industrial Engineering Computations, Vol 7, Iss 3, Pp 367-384 (2016)
This article addresses the problem of dynamic sequencing on n identical parallel machines with stochastic arrivals, processing times, due dates and sequence-dependent setups. The system operates under a completely reactive scheduling policy and the s
Externí odkaz:
https://doaj.org/article/ba548a2bbac34323a306eb98677d6a4c
Autor:
Georgios S. Ioannidis, Laura Elin Pigott, Michael Iv, Katarina Surlan-Popovic, Max Wintermark, Sotirios Bisdas, Kostas Marias
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
ObjectiveThis study aims to assess the value of biomarker based radiomics to predict IDH mutation in gliomas. The patient cohort consists of 160 patients histopathologicaly proven of primary glioma (WHO grades 2–4) from 3 different centers.MethodsT
Externí odkaz:
https://doaj.org/article/24ad1065d9fc40eea3a00c768ac1b9a2
Autor:
Eleftherios Trivizakis, Georgios S. Ioannidis, Ioannis Souglakos, Apostolos H. Karantanas, Maria Tzardi, Kostas Marias
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Colorectal cancer (CRC) constitutes the third most commonly diagnosed cancer in males and the second in females. Precise histopathological classification of CRC tissue pathology is the cornerstone not only for diagnosis but also for patients
Externí odkaz:
https://doaj.org/article/c3ed0f888ecf4796aa5bdfd8a73f82b8
Autor:
Katerina Nikiforaki, Georgios S. Ioannidis, Eleni Lagoudaki, Georgios H. Manikis, Eelco de Bree, Apostolos Karantanas, Thomas G. Maris, Kostas Marias
Publikováno v:
European Radiology Experimental, Vol 4, Iss 1, Pp 1-11 (2020)
Abstract Background We investigated a recently proposed multiexponential (Mexp) fitting method applied to T2 relaxometry magnetic resonance imaging (MRI) data of benign and malignant adipocytic tumours and healthy subcutaneous fat. We studied the T2
Externí odkaz:
https://doaj.org/article/ac8a5ac1abc84810881deca315d89ce9
Autor:
Georgios S. Ioannidis, Katerina Nikiforaki, Georgios Kalaitzakis, Apostolos Karantanas, Kostas Marias, Thomas G. Maris
Publikováno v:
European Radiology Experimental, Vol 4, Iss 1, Pp 1-14 (2020)
Abstract Background The inverse Laplace transform (ILT) is the most widely used method for T2 relaxometry data analysis. This study examines the qualitative agreement of ILT and a proposed multiexponential (Mexp method) regarding the number of T2 com
Externí odkaz:
https://doaj.org/article/7297035f42f948d081361cff07f687af
Autor:
Evangelia G. Chryssou, Georgios C. Manikis, Georgios S. Ioannidis, Vrettos Chaniotis, Thomas Vrekoussis, Thomas G. Maris, Kostas Marias, Apostolos H. Karantanas
Publikováno v:
Diagnostics, Vol 12, Iss 3, p 692 (2022)
The aim of this study is to investigate the possibility of predicting histological grade in patients with endometrial cancer on the basis of intravoxel incoherent motion (IVIM)-related histogram analysis parameters. This prospective study included 52
Externí odkaz:
https://doaj.org/article/38086c3597a745d686048007ac6324f0
Autor:
Georgios S. Ioannidis, Michalis Goumenakis, Ioannis Stefanis, Apostolos Karantanas, Kostas Marias
Publikováno v:
Diagnostics, Vol 12, Iss 2, p 425 (2022)
This study aimed to investigate which of the two frequently adopted perfusion models better describes the contrast enhanced ultrasound (CEUS) perfusion signal in order to produce meaningful imaging markers with the goal of developing a machine-learni
Externí odkaz:
https://doaj.org/article/1cc0c68b12ed4f9a89940b005feca12d
Autor:
Christos T. Krasopoulos, Adamos S. Ioannidis, Angelos F. Kremmydas, Ilias A. Karafyllakis, Antonios G. Kladas
Publikováno v:
IEEE Transactions on Magnetics. 58:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24ccf16374a229b132fe1e2b8856cdc6
https://doi.org/10.1109/tmag.2022.3202514
https://doi.org/10.1109/tmag.2022.3202514
Autor:
Georgios S. Ioannidis, Søren Christensen, Katerina Nikiforaki, Eleftherios Trivizakis, Kostas Perisinakis, Adam Hatzidakis, Apostolos Karantanas, Mauricio Reyes, Maarten Lansberg, Kostas Marias
Publikováno v:
Diagnostics, Vol 11, Iss 6, p 1121 (2021)
The aim of this study was to define lower dose parameters (tube load and temporal sampling) for CT perfusion that still preserve the diagnostic efficiency of the derived parametric maps. Ninety stroke CT examinations from four clinical sites with 1 s
Externí odkaz:
https://doaj.org/article/4673145183784c53bf19655d2edbfc8d
Autor:
Georgios S. Ioannidis, Eleftherios Trivizakis, Ioannis Metzakis, Stilianos Papagiannakis, Eleni Lagoudaki, Kostas Marias
Publikováno v:
Applied Sciences, Vol 11, Iss 9, p 3796 (2021)
Automated pathology image classification through modern machine learning (ML) techniques in quantitative microscopy is an emerging AI application area aiming to alleviate the increased workload of pathologists and improve diagnostic accuracy and cons
Externí odkaz:
https://doaj.org/article/ef48bd61001f41ca9c315815b9736c36