Yazar "Üncü, Yiğit Ali" için Tıbbi Görüntüleme Teknikleri Programı / Medical Imaging Techniques Program listeleme
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209Bi izotopunun (p,xn), (p,xp), (p,xd) ve (p,xt) reaksiyonlarının teorik nükleer modeller ile incelenmesi
Özdoğan, Hasan; Üncü, Yiğit Ali (2023)Nükleer fizik alanındaki gelişmeler; arkeoloji, jeoloji, mühendislik, astrofizik, kozmoloji, kimya, biyoloji, tıp gibi bilim dallarını da etkilemektedir. Nükleer reaksiyon mekanizmalarını anlamak, reaksiyon modelleri ... -
The application of image filtering methods in mammography image
Üncü, Yiğit Ali; Özdoğan, Hasan (Proceedings on 4. International Conference on Technology and Science, 2021)Medical images have recently become an important part of patient care. Techniques for image processing and analysis are generally used in medicine. Medical images are complicated, and they differ significantly from one ... -
Calculation of double differential neutron cross-sections of 56Fe and 90Zr isotopes
Özdoğan, Hasan; Üncü, Yiğit Ali; Şekerci, Mert; Kaplan, Abdullah (Applied Radiation and Isotopes, 2023)This study is concerned with the calculations of double differential neutron cross-sections of the structural fusion materials of 56Fe and 90Zr isotopes that are bombarded with protons. Calculations were performed using ... -
Calculation of mass attenuation coefficients for pedicle screw by theoretical and monte carlo simulation methods
Üncü, Yiğit Ali; Karaman, Onur; Çakın, Hakan; Özdoğan, Hasan (Süleyman Demirel University Faculty of Arts and Sciences Journal of Science, 2021)Spine fixation is required in cases such as congenital spinal curvatures, vertebral fractures, sagittal collapse over time, painful kyphosis, and bone load due to tumors. Although there are many methods in the literature, ... -
Calculations of GDR parameters for deformed nuclei using LogitBoost classifier and artificial neural network
Üncü, Yiğit Ali; Danışman, Taner; Özdoğan, Hasan (Modern Physics Letters A, 2022)Photo-nuclear interactions are important for investigating fundamental nuclear physics phenomena. The photo-absorption cross-section energy curve displays a wide resonance called giant dipole resonance (GDR) until 30 MeV. ... -
Estimations for (n,a) reaction cross sections at around 14.5MeV using Levenberg-Marquardt algorithm-based artificial neural network
Özdoğan, Hasan; Üncü, Yiğit Ali; Şekerci, Mert; Kaplan, Abdullah (Elsevier, 2023)Prediction of neutron-induced reaction cross-sections at around the 14.5 MeV neutron energy is crucial to calculate nuclear transmutation rates, nuclear heating, and radiation damage from gas formation in fusion reactor ... -
Estimations for the production cross sections of medical 61, 64, 67Cu radioisotopes by using bayesian regularized artificial neural networks in (p, α) reactions
Üncü, Yiğit Ali; Özdoğan, Hasan (Arabian Journal of Science and Engineering, 2023)Copper (Cu), which is produced in cyclotrons or reactors, is a significant tracer in the human body. Bayesian regularized artificial neural networks (ANNs) algorithm, which is one of the ANN approaches, was used in analyzing ... -
Estimations of (n,alpha) reaction cross sections using bayesian classsifier
Üncü, Yiğit Ali; Özdoğan, Hasan (XV. International Conference on Nuclear Structure Properties, 2022) -
Estimations of giant dipole resonance parameters using artificial neural network
Özdoğan, Hasan; Üncü, Yiğit Ali; Karaman, Onur; Şekerci, Mert; Kaplan, Abdullah (Applied Radiation and Isotopes, 2021)In this study; Giant Dipole Resonance (GDR) parameters of the spherical nucleus have been estimated by using artificial neural network (ANN) algorithms. The ANN training has been carried out with the Levenberg–Marquardt ... -
Estimations of level density parameters by using artificial neural network for phenomenological level density models
Özdoğan, Hasan; Üncü, Yiğit Ali; Şekerci, Mert; Kaplan, Abdullah (Applied Radiation and Isotopes, 2021)The main aim of this study is to develop accurate artificial neural network (ANN) algorithms to estimate level density parameters. An efficient Bayesian-based algorithm is presented for classification algorithms. Unknown ... -
Investigation of the effects of different composite materials on neutron contamination caused by medical LINAC
Karaman, Onur; Özdoğan, Hasan; Üncü, Yiğit Ali; Karaman, Ceren; Tanır, Ayşe Güneş (Kerntechnik, 2020)In a medical linear accelerator, the primary and secondary collimators are generally made of high atomic weight metals. The energy of the x-rays generated by accelerated electrons exceeds the bonding energies of high atomic ... -
Investigation of the production routes of Palladium-103 and Iodine-125 radioisotopes
Üncü, Yiğit Ali; Özdoğan, Hasan; Şekerci, Mert; Kaplan, Abdullah (Radiation Physics and Chemistry, 2023)The most commonly used radioisotopes are Palladium-103 (103Pd) and Iodine-125 (125I) for interstitial application in brachytherapy. In the present study, different production routes of 103Pd and 125I have been investigated. ... -
Mamografi sistemlerinde ilgi alanı türev ve ince gruplama seçimlerinin modülasyon transfer fonksiyonunun üzerine etkileri
Üncü, Yiğit Ali; Özdoğan, Hasan (Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi, 2020)Bu çalışmada, mamografi sisteminin görüntü kalitesi matematiksel yöntemler ile ölçülmüştür. Mamografi sistemlerinde performans ölçümleri için uygulanan yeni yöntemler, bu sistemlerin görüntü kalitesinin sayısal olarak ... -
Mass attenuation coefficient, stopping power, and penetrating distance calculations via Monte Carlo simulations for cell membranes
Üncü, Yiğit Ali; Sevim, Gençay; Ağar, Osman; Özdoğan, Hasan (Elsevier, 2023)The Monte Carlo (MC) method is a computer simulation that is widely used in different disciplines including physics, biology, biophysics, medical imaging, biomedical engineering, etc. In addition, MC method is often ... -
Mass excess estimations using artificial neural networks
Özdoğan, Hasan; Üncü, Yiğit Ali; Şekerci, Mert; Kaplan, Abdullah (Applied Radiation and Isotopes, 2022)Mass excess knowledge is important to investigate the fundamental properties of atomic nuclei. It is a meaningful and important parameter for the determinations of nucleon binding energy, nuclear reaction Q value, energy ... -
Neural network predictions of (α, n) reaction cross sections at 18.5±3 MeV using the Levenberg-Marquardt algorithm
Özdoğan, Hasan; Üncü, Yiğit Ali; Şekerci, Mert; Kaplan, Abdullah (Elsevier, 2024)In recent developments, artificial neural networks (ANNs) have demonstrated their capability to predict reaction cross-sections based on experimental data. Specifically, for predicting (a,n) reaction cross-sections, we ... -
A study on the estimations of (n, t) reaction cross-sections at 14.5 MeV by using artificial neural network
Özdoğan, Hasan; Üncü, Yiğit Ali; Şekerci, Mert; Kaplan, Abdullah (Modern Physics Letters A, 2021)In this paper, calculations of the (n,t) reaction cross-sections at 14.5 MeV have been presented by utilizing artificial neural network algorithms (ANNs). The systematics are based on the account for the non-equilibrium ... -
Vascular segmentation in X-ray angiograms using frangi filter
Üncü, Yiğit Ali; Özdoğan, Hasan (International Online Conferences on Engineering and Natural Sciences, 2021)X-ray angiography systems are essential method of diagnosis of coronary arteries from angiography images. Coronary angiography is known as the gold standard; for the evaluation of coronary artery disease. Nevertheless, ...