Başlık için Tıbbi Görüntüleme Teknikleri Programı / Medical Imaging Techniques Program listeleme
Toplam kayıt 52, listelenen: 21-40
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Estimation of (n,p) reaction cross sections at 14.5 ∓ 0.5 MeV neutron energy by using artificial neural network
(Applied Radiation and Isotopes, 2021)The aim of this study is to develop an accurate artificial neural network algorithm for the cross-section of (n,p) reactions at 14.5 ∓0.5 MeV neutron energy which is important to developing materials for fusion reactor ... -
Estimations for (n,a) reaction cross sections at around 14.5MeV using Levenberg-Marquardt algorithm-based artificial neural network
(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
(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
(XV. International Conference on Nuclear Structure Properties, 2022) -
Estimations of giant dipole resonance parameters using artificial neural network
(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
(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 ... -
Farklı açı ve enerjilerde 0Se (n,x) reaksiyonun tesir kesitinin tespit edilmesi
(ISPEC 10th International Conferences on Engineering & Natural Sciences, 2021)Nükleer fizik araştırmalarında kullanılacak olan elementlerin, yapmış oldukları nükleer reaksiyonlar sonucunda açığa çıkan parçacıkların açısal dağılımının bilinmesi, temel nükleer fizik çalışmalarının yanı sıra, zırhlama ... -
Gamma, charged particle and neutron radiation shielding capacities of ternary composites having polyester/barite/tungsten boride
(Radiation Physics and Chemistry, 2023)The presented work investigates the photon, charged particle and neutron radiation shielding performances of polyester-based composites filled with barite and/or tungsten boride by using experimental, theoretical, and Monte ... -
Influence of Nd2O3 on radiation shielding and elastic properties of TeO2–MgO–Na2O glasses: a simulation study by PHITS and MCNP
(2023)This study investigates the elastic properties and the photon and neutron shielding properties of TeO2–MgO–Na2O–Nd2O3 glasses, as well as the mass stopping power and projected range of alpha and proton charged particles ... -
Investigation of level density and gama strength function for photoneutron reaction in medical linacs in beamline
(Applied Radiation and Isotopes, 2022)Photoneutron reaction cross-sections of 197Au, 187Re, 186W, 181Ta, 94,95,96,97,98,100Mo isotopes were calculated through the TALYS 1.95 nuclear reaction code. The energy range of the incident photon chosen as 7 MeV–30 MeV ... -
Investigation of the effects of different composite materials on neutron contamination caused by medical LINAC
(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
(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. ... -
An investigation on production routes of 230U radioisotope used in targeted alpha therapy by different level density models
(Moscow University Physics Bulletin, 2022)Targeted alpha therapy (TAT) is an attractive therapeutic option in patients with multiple micrometastases. It offers many advantages, including easy administration, the ability to treat multiple lesions simultaneously and ... -
An investigation on the effects of some theoretical models in the cross-section calculations of 50,52,53,54 Cr(α,x) reactions
(Physics of Atomic Nuclei, 2020)The probability of a nuclear reaction occurrence is defined as cross-section which can be ob- tained with the experimental studies or theoretical calculations. Theoretical calculations, in which various parameters and ... -
Level density model effects on the production cross-section calculations of some medical isotopes via (α, xn) reactions where x = 1–3
(Modern Physics Letters A, 2020)Level density models have an undeniable importance for a better perception on the na- ture of nuclear reactions, which influences our life via various ways. Many novel and advanced medical application use radioisotopes, ... -
Mamografi sistemlerinde ilgi alanı türev ve ince gruplama seçimlerinin modülasyon transfer fonksiyonunun üzerine etkileri
(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
(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
(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 ... -
Medikal lineer hızlandırıcı kafasında yer alan düzleştirici filtredeki elementlerin foto-nötron tesir kesitinin incelenmesi
(18. Ulusal Medikal Fizik Kongresi, 2021)Radyoterapide kullanılan E > 8 MeV enerjili foton demetlerinin medikal lineer hızlandırıcı (LİNAK) kafasında ışın demeti yolunda yer alan düzleştirici filtrelerin içerdiği materyallerin çekirdeği ile gerçekleşen foto-nötron ... -
Neural network predictions of (α, n) reaction cross sections at 18.5±3 MeV using the Levenberg-Marquardt algorithm
(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 ...