Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Nikolaos Dikaios"'
Autor:
Giorgos Papanastasiou, Guang Yang, Dimitris I. Fotiadis, Nikolaos Dikaios, Chengjia Wang, Ahsan Huda, Luba Sobolevsky, Jason Raasch, Elena Perez, Gurinder Sidhu, Donna Palumbo
Publikováno v:
Communications Medicine, Vol 3, Iss 1, Pp 1-15 (2023)
Abstract Background Primary immunodeficiency (PI) is a group of heterogeneous disorders resulting from immune system defects. Over 70% of PI is undiagnosed, leading to increased mortality, co-morbidity and healthcare costs. Among PI disorders, combin
Externí odkaz:
https://doaj.org/article/b8fa4012ffde4c28aefc400d4b0660e1
Autor:
Gavrielle R. Untracht, Nikolaos Dikaios, Abdullah K. Durrani, Mariam Bapir, Marinko V. Sarunic, David D. Sampson, Christian Heiss, Danuta M. Sampson
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Optical coherence tomography angiography (OCTA) is a non-invasive, high-resolution imaging modality with growing application in dermatology and microvascular assessment. Accepted reference values for OCTA-derived microvascular parameters in
Externí odkaz:
https://doaj.org/article/38b77ac5df5e479985d445d34cf11166
Publikováno v:
Encyclopedia, Vol 2, Iss 2, Pp 679-689 (2022)
Predictive modelling of infectious diseases is very important in planning public health policies, particularly during outbreaks. This work reviews the forecasting and mechanistic models published earlier. It is emphasized that researchers’ forecast
Externí odkaz:
https://doaj.org/article/fecb60f52d1a4283aa3aa08b63593063
Autor:
Muhammad Usman Saeed, Nikolaos Dikaios, Aqsa Dastgir, Ghulam Ali, Muhammad Hamid, Fahima Hajjej
Publikováno v:
Diagnostics, Vol 13, Iss 16, p 2658 (2023)
Spine image analysis is based on the accurate segmentation and vertebrae recognition of the spine. Several deep learning models have been proposed for spine segmentation and vertebrae recognition, but they are very computationally demanding. In this
Externí odkaz:
https://doaj.org/article/f2d63c91ba564c1eafdb9dd843f4287f
Autor:
Mariam Bapir, Gavrielle R. Untracht, Julie E. A. Hunt, John H. McVey, Jenny Harris, Simon S. Skene, Paola Campagnolo, Nikolaos Dikaios, Ana Rodriguez-Mateos, David D. Sampson, Danuta M. Sampson, Christian Heiss
Publikováno v:
Life, Vol 12, Iss 12, p 2023 (2022)
Femoral artery (FA) endothelial function is a promising biomarker of lower extremity vascular health for peripheral artery disease (PAD) prevention and treatment; however, the impact of age on FA endothelial function has not been reported in healthy
Externí odkaz:
https://doaj.org/article/42cc69a34d954cbe920015f8dac72c51
Autor:
Nicholas E. Protonotarios, George A. Kastis, Andreas D. Fotopoulos, Andreas G. Tzakos, Dimitrios Vlachos, Nikolaos Dikaios
Publikováno v:
Mathematics, Vol 11, Iss 1, p 55 (2022)
The effective resolution of positron emission tomography (PET) can be significantly degraded by patient motion during data acquisition. This is especially true in the thorax due to respiratory motion. This study concentrates on the improvement of mot
Externí odkaz:
https://doaj.org/article/0003e2cc071c4bf9967f4816cf79a210
Autor:
Gavrielle R. Untracht, Rolando S. Matos, Nikolaos Dikaios, Mariam Bapir, Abdullah K. Durrani, Teemapron Butsabong, Paola Campagnolo, David D. Sampson, Christian Heiss, Danuta M. Sampson
Publikováno v:
PLoS ONE, Vol 16, Iss 12 (2021)
Optical coherence tomography angiography (OCTA) performs non-invasive visualization and characterization of microvasculature in research and clinical applications mainly in ophthalmology and dermatology. A wide variety of instruments, imaging protoco
Externí odkaz:
https://doaj.org/article/adc5dbc9c4ea4b9eba89d58c3020e232
Autor:
Nicholas E. Protonotarios, Athanassios S. Fokas, Alexandros Vrachliotis, Vangelis Marinakis, Nikolaos Dikaios, George A. Kastis
Publikováno v:
Applied Sciences, Vol 12, Iss 7, p 3335 (2022)
Over the last decades, there has been an increasing interest in dedicated preclinical imaging modalities for research in biomedicine. Especially in the case of positron emission tomography (PET), reconstructed images provide useful information of the
Externí odkaz:
https://doaj.org/article/4d4da33f88ad4236a46de7703c6850ef
Publikováno v:
Journal of Imaging, Vol 8, Iss 2, p 29 (2022)
The discrete shearlet transformation accurately represents the discontinuities and edges occurring in magnetic resonance imaging, providing an excellent option of a sparsifying transform. In the present paper, we examine the use of discrete shearlets
Externí odkaz:
https://doaj.org/article/9bc24e67eedd4ea8a4ed9ee189930385
Autor:
Ryan Fullarton, Lennart Volz, Nikolaos Dikaios, Reinhard Schulte, Gary Royle, Philip M. Evans, Joao Seco, Charles‐Antoine Collins‐Fekete
Publikováno v:
Medical Physics. 50:2336-2353