Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Unal Sakoglu"'
Publikováno v:
Informatics in Medicine Unlocked, Vol 20, Iss , Pp 100409- (2020)
Background: Multiple sclerosis (MS) is an immune-mediated inflammatory disease that attacks myelinated axons in the central nervous system, destroying myelin and axons to variable degrees and, resulting in significant physical disability. Magnetic re
Externí odkaz:
https://doaj.org/article/5eecb61c23af4d6db55ca0bb16f0d3c5
Autor:
Jaymin Upadhyay, Scott J Baker, Prasant Chandran, Loan Miller, Younglim Lee, Gerard J Marek, Unal Sakoglu, Chih-Liang Chin, Feng Luo, Gerard B Fox, Mark Day
Publikováno v:
PLoS ONE, Vol 6, Iss 11, p e27839 (2011)
During wakefulness and in absence of performing tasks or sensory processing, the default-mode network (DMN), an intrinsic central nervous system (CNS) network, is in an active state. Non-human primate and human CNS imaging studies have identified the
Externí odkaz:
https://doaj.org/article/bd8d319d60d941108cea16c1a0f4051a
Autor:
Unal Sakoglu
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Autor:
Paul D. LeVan, Unal Sakoglu
Publikováno v:
Infrared Sensors, Devices, and Applications XI.
We present a conceptual design for an in-situ methane gas sensor that could be deployed rapidly to suspected sites of spurious methane emission. Based on the remote detection of suspected methane leaks now possible with a class of satellites currentl
Autor:
Unal Sakoglu
Publikováno v:
Infrared Sensors, Devices, and Applications XI.
Infrared imagery, like almost any other two-dimensional (2D) imagery, have been traditionally sampled and acquired using a traditional rectangular grid. Therefore, nonuniformity correction (NUC) algorithms for infrared imaging systems which mitigate
Publikováno v:
Neuroscience Letters. 701:136-141
Around 200,000 veterans (up to 32% of those deployed) of the 1991 Gulf War (GW) suffer from GW illness (GWI), which is characterized by multiple deficits in cognitive, affective, sensory and nociception domains. In this study we employed resting stat
Publikováno v:
Sakoglu, U, Mete, M, Esquivel, J, Rubia, K, Briggs, R & Adinoff, B 2019, ' Classification of Cocaine Dependent Participants with Dynamic Functional Connectivity from Functional Magnetic Resonance Imaging Data ', Journal of Neuroscience Research, vol. 97, no. 7, pp. 790-803 . https://doi.org/10.1002/jnr.24421
Static functional connectivity (FC) analyses based on functional magnetic resonance imaging (fMRI) data have been extensively explored for studying various psychiatric conditions in the brain, including cocaine addiction. A recently emerging, more po
Autor:
Mark C. Minton, Unal Sakoglu
Publikováno v:
Infrared Sensors, Devices, and Applications X.
Previously, Ratliff et al. and Sakoglu et al. developed algebraic nonuniformity correction (NUC) algorithms (the latter developed a matrix-based version with regularization capabilities) which mitigate fixed-pattern nonuniformity (noise) that is noto
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030504199
ICCS (3)
ICCS (3)
In this work, we develop an adaptive, near-optimal, 3-Dimensional (3D) to 1D ordering methodology for brain magnetic resonance imaging (MRI) data, using a space-filling curve (SFC) trajectory, which is adaptive to brain’s shape as captured by MRI.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11d2f998b943630ae00553d91c9531f2
https://doi.org/10.1007/978-3-030-50420-5_48
https://doi.org/10.1007/978-3-030-50420-5_48
Publikováno v:
Biomedical Signal Processing and Control. 68:102648
Emotion recognition by artificial intelligence (AI) is a challenging task. A wide variety of research has been done, which demonstrated the utility of audio, imagery, and electroencephalography (EEG) data for automatic emotion recognition. This paper