Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Antonis D. Savva"'
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:
Brain Connect
Introduction: The selection of an appropriate window size, window function, and functional connectivity (FC) metric in the sliding window method is not straightforward due to the absence of ground truth. Methods: A previously proposed wavelet-based m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c51790946242283ea4b6e3aead5164ed
https://pubmed.ncbi.nlm.nih.gov/34155908
https://pubmed.ncbi.nlm.nih.gov/34155908
The purpose of the current study was to classify people with autism spectrum disorder (ASD) using resting state functional magnetic resonance imaging data. Toward this direction, data were retrieved from the Autism Brain Imaging Data Exchange initiat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25e81973d54720a5aec9a8e01e776a58
https://doi.org/10.1016/b978-0-12-818466-0.00006-x
https://doi.org/10.1016/b978-0-12-818466-0.00006-x
Autor:
Hanna A. Alonim, Ramesa Shafi Bhat, Hillel D. Braude, Undurti N. Das, Jonathan Delafield-Butt, Barbara A. Demeneix, Afaf El-Ansary, Tatyana El-Kour, Jean-Baptiste Fini, Gilbert M. Foley, Stephanny Freeman, Ira Glovinsky, Aikaterini S. Karampasi, Marinos Kyriakopoulos, Michelle Leemans, Ido Lieberman, George K. Matsopoulos, Magda Mostafa, Isabelle Mueller, Majia H. Nadesan, Natalia Neophytou, Nina Newman, Melissa Olive, M.A. Ovchinnikova, Neophytos Papaneophytou, Tanya Paparella, Ivanka Pejić, Sandra Pretorius, O.G. Safonicheva, Ruby Moye Salazar, Antonis D. Savva, Giora Scheingesicht, Danny Tayar, Gil Tippy, Colwyn Trevarthen, Ed Tronick, Alisa Vig, Serena Wieder
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20ba50079eeb402df9c1f456efa9e5c8
https://doi.org/10.1016/b978-0-12-818466-0.01002-9
https://doi.org/10.1016/b978-0-12-818466-0.01002-9
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,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d6b3c60726592c718dcad4b66ac7c78
https://doi.org/10.3390/app11136216
https://doi.org/10.3390/app11136216
Publikováno v:
Brain and Behavior
Introduction Recent studies related to assessing functional connectivity (FC) in resting‐state functional magnetic resonance imaging have revealed that the resulting connectivity patterns exhibit considerable fluctuations (dynamic FC [dFC]). A wide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7ea48ab1244465d7375e109fe38af23
http://europepmc.org/articles/PMC6456784
http://europepmc.org/articles/PMC6456784
Autor:
George K. Matsopoulos, Nikolaos Smyrnis, Michalis Kassinopoulos, Antonis D. Savva, Georgios D. Mitsis
Publikováno v:
Journal of Neuroscience Methods. 330:108519
Background It has been suggested that the use of window functions, other than the rectangular, in the sliding window method, may be beneficial for reducing the effects of motion-related outliers in the time-series, when assessing dynamic functional c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b46d2de46f2aefa2fa9e85f4c763f664
https://doi.org/10.1016/j.jneumeth.2019.108519
https://doi.org/10.1016/j.jneumeth.2019.108519
Autor:
George K. Matsopoulos, Theodore L. Economopoulos, Antonis D. Savva, Thekla K Papakosta, H G Gröhndal
Publikováno v:
Dento maxillo facial radiology. 46(4)
Panoramic images of the jaws are extensively used for dental examinations and/or surgical planning because they provide a general overview of the patient's maxillary and mandibular regions. Panoramic images are two-dimensional projections of three-di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::172ce35222bd16a1687b6d1128e883a1
https://pubmed.ncbi.nlm.nih.gov/28112548
https://pubmed.ncbi.nlm.nih.gov/28112548
Publikováno v:
Computers in biology and medicine. 69
Spatial alignment of Computed Tomography (CT) data sets is often required in numerous medical applications and it is usually achieved by applying conventional exhaustive registration techniques, which are mainly based on the intensity of the subject
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f022dcae7a615e1430a56696f8337ef6
https://pubmed.ncbi.nlm.nih.gov/26771247
https://pubmed.ncbi.nlm.nih.gov/26771247