Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Vasileios Ch. Korfiatis"'
Autor:
Aikaterini S. Karampasi, Antonis D. Savva, Vasileios Ch. Korfiatis, Ioannis Kakkos, George K. Matsopoulos
Publikováno v:
Applied Sciences, Vol 11, Iss 13, p 6216 (2021)
Effective detection of autism spectrum disorder (ASD) is a complicated procedure, due to the hundreds of parameters suggested to be implicated in its etiology. As such, machine learning methods have been consistently applied to facilitate diagnosis,
Externí odkaz:
https://doaj.org/article/8efdfc153a6b437c813e49adfe3d9d0a
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 22:1189-1196
Trabecular bone fractures constitute a major health issue for the modern societies, with the currently established prediction methods of fracture risk, such as bone mineral density (BMD), resulting in errors up to 40%. Fracture-zone prediction based
Autor:
George K. Matsopoulos, Ioannis Kakkos, Aikaterini S. Karampasi, Antonis D. Savva, Vasileios Ch. Korfiatis
Publikováno v:
Applied Sciences, Vol 11, Iss 6216, p 6216 (2021)
Applied Sciences
Volume 11
Issue 13
Applied Sciences
Volume 11
Issue 13
Effective detection of autism spectrum disorder (ASD) is a complicated procedure, due to the hundreds of parameters suggested to be implicated in its etiology. As such, machine learning methods have been consistently applied to facilitate diagnosis,
Publikováno v:
Journal of Visual Communication and Image Representation. 29:71-78
Automatic determination of the active contours' force coefficients.Local manipulation of force coefficients, as an alternative to edge stopping function.Evaluation using qualitative and quantitative results on a large real images dataset. Image segme
Publikováno v:
Journal of Microscopy. 256:75-81
Segmentation of biomedical images is of great importance in various studies aiming to both the identification of regions of interests within the image and the performance of quantified measurements. Nevertheless, the segmentation of the biomedical im
Autor:
George K. Matsopoulos, Vasileios Ch. Korfiatis, Pantelis A. Asvestas, Konstantinos K. Delibasis
Publikováno v:
Computers in Biology and Medicine. 43:2118-2126
Primary and Secondary Polycythemia are diseases of the bone marrow that affect the blood's composition and prohibit patients from becoming blood donors. Since these diseases may become fatal, their early diagnosis is important. In this paper, a class
Publikováno v:
Computers in biology and medicine. 87
Micro-CT is an imaging technique for small tissues and objects that is gaining increased popularity especially as a pre-clinical application. Nevertheless, there is no well-established micro-CT segmentation method, while typical procedures lack sophi
Publikováno v:
Artificial Neural Networks in Pattern Recognition ISBN: 9783642332111
ANNPR
ANNPR
Prediction of trabecular fracture zone is a very important element for assessing the fracture risk in patients. The assumption that failure always occurs in local bands, the so called 'fracture zones', with the remaining regions of the structure larg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39e05f9883276aa01ae320d36318feec
https://doi.org/10.1007/978-3-642-33212-8_15
https://doi.org/10.1007/978-3-642-33212-8_15
Autor:
I. Kalatzis, Alexandra I. Korda, Vasileios Ch. Korfiatis, Pantelis A. Asvestas, E. C. Ventouras, Irene S. Karanasiou, Konstantinos Sidiropoulos, George K. Matsopoulos, A. Uzunolglu, Spiros Kostopoulos
Publikováno v:
Journal of Physics: Conference Series. 637:012033
Human learning is partly based on observation. Electroencephalographic recordings of subjects who perform acts (actors) or observe actors (observers), contain a negative waveform in the Evoked Potentials (EPs) of the actors that commit errors and of