Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Fusun Er"'
Autor:
Fusun Er, Yıldıray YALMAN
Publikováno v:
Journal of Innovative Science and Engineering, Vol 6, Iss 2, Pp 233-247 (2022)
This paper presents an application of a multi-objective non-dominated sorting genetic algorithm with a modified chromosome encoding for histogram shifting-based multiple reversible data hiding scheme in neuroimages which aims to minimize distortion
Externí odkaz:
https://doaj.org/article/0e60ba1fe1714b14a6b2a2201e515847
Publikováno v:
Dentomaxillofacial Radiology. 52
Objectives: A separated endodontic instrument is one of the challenging complications of root canal treatment. The purpose of this study was to compare two deep learning methods that are convolutional neural network (CNN) and long short-term memory (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d547d841be55ac2efd5adf4ee829e2dc
https://doi.org/10.1259/dmfr.20220209
https://doi.org/10.1259/dmfr.20220209
Autor:
Fusun Er, Dionysis Goularas
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18:1164-1173
The aim of this study is to develop a computer-aided diagnosis system with a deep-learning approach for distinguishing "Mild Cognitive Impairment (MCI) due to Alzheimer's Disease (AD)" patients among a list of MCI patients. In this system we are usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5fa138a2363dc1031bc801dcaeb984a
https://doi.org/10.1109/tcbb.2020.3017872
https://doi.org/10.1109/tcbb.2020.3017872
Autor:
Yildiray Yalman, Fusun Er
Publikováno v:
IPTA
The aim of this study is to propose a histogram shifting-based reversible data hiding scheme for anatomical magnetic resonance images (MRI) of human brain. In this study, a human brain MRI dataset was employed for experimental purposes, which were ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c01b88cb7fb9d7e7f6dfbdb746722883
https://doi.org/10.1109/ipta.2019.8936093
https://doi.org/10.1109/ipta.2019.8936093
WOS: 000405535800039
PubMed ID: 28347685
Background and aim: This study aims to examine the distinguishability of age-related cognitive decline (ARCD) from dementias based on some neurocognitive tests using machine learning. Materials and m
PubMed ID: 28347685
Background and aim: This study aims to examine the distinguishability of age-related cognitive decline (ARCD) from dementias based on some neurocognitive tests using machine learning. Materials and m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed1ad7e36eae2a14e15cdc69bf1c812d
https://hdl.handle.net/20.500.11831/98
https://hdl.handle.net/20.500.11831/98
Publikováno v:
Journal of Neurological Sciences. 2017, Vol. 34 Issue 1, p52-69. 18p.
Autor:
Er, Fusun Citak, Hatay, Gokce Hale, Okeer, Emre, Yildirim, Muhammed, Hakyemez, Bahattin, Ozturk-Isik, Esin
Publikováno v:
2014 36th Annual International Conference of the IEEE Engineering in Medicine & Biology Society; 2014, p2392-2395, 4p
Autor:
Er, Fusun C., Gul, Ensar
Publikováno v:
Journal of Information Assurance & Security; 2012, Vol. 7 Issue 3, p147-155, 9p