Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Idam Arif"'
Autor:
Choirul Anam, Idam Arif, Freddy Haryanto, Fauzia P Lestari, Rena Widita, Wahyu S Budi, Heri Sutanto, Kusworo Adi, Toshioh Fujibuchi, Geoff Dougherty
Publikováno v:
Journal of Biomedical Physics and Engineering, Vol 11, Iss 2, Pp 163-174 (2021)
Background: It is necessary to have an automated noise measurement system working accurately to optimize dose in computerized tomography (CT) examinations.Objective: This study aims to develop an algorithm to automate noise measurement that can be im
Externí odkaz:
https://doaj.org/article/366d6e913d354f61846d5ca36a8e18be
Publikováno v:
Journal of Science: Advanced Materials and Devices, Vol 3, Iss 4, Pp 419-427 (2018)
Gadolinium oxide (Gd2O3) nanoparticles with paramagnetic properties and biocompatible surfaces are promising materials for bioimaging applications. We synthesized in situ pegylated Gd2O3 (Gd2O3@PEG) nanoparticles by liquid phase pulsed laser ablation
Externí odkaz:
https://doaj.org/article/ac78294d52344a7caabef883e7794801
Publikováno v:
Wahana Fisika: Jurnal Penelitian Fisika dan Terapannya, Vol 2, Iss 2, Pp 42-53 (2017)
Autism Spectrum Disorders (ASD) adalah kondisi neurodevelopmental yang berkaitan dengan defisit dalam fungsi eksekutif, emosi, bahasa, dan komunikasi sosial. Beberapa teknik neuroimaging dan neurofisiologi digunakan untuk memahami hubungan antara fun
Externí odkaz:
https://doaj.org/article/e2314f37f9dc46c298679b0dd64ad1bd
Publikováno v:
Science and Technology of Nuclear Installations, Vol 2017 (2017)
Probabilistic dose assessment and mapping for nuclear accident condition are performed for Ujung Lemahabang site in Muria Peninsula region in Indonesia. Source term is obtained from Three-Mile Island unit 2 (TMI-2) PWR-type SB-LOCA reactor accident i
Externí odkaz:
https://doaj.org/article/eb4229473c9f43e1982b87be737e7f70
Publikováno v:
Makara Seri Sains, Vol 09, Iss 1, Pp 13-18 (2005)
This research carried out to study the bioluminescence process of bacterial Photobacterium phosphoreum isolated from Indonesia marine squid. The method used in the present study involved isolation, purification, electrophoresis, and the absorbance an
Externí odkaz:
https://doaj.org/article/6447e661d08a4a9c958ccd8a17e003ce
Autor:
Toshioh Fujibuchi, Geoff Dougherty, Choirul Anam, Idam Arif, Fauzia P. Lestari, Wahyu Setia Budi, Freddy Haryanto, Heri Sutanto, Rena Widita, Kusworo Adi
Publikováno v:
Journal of Biomedical Physics & Engineering
Journal of Biomedical Physics and Engineering, Vol 11, Iss 2, Pp 163-174 (2021)
Journal of Biomedical Physics and Engineering, Vol 11, Iss 2, Pp 163-174 (2021)
Background: It is necessary to have an automated noise measurement system working accurately to optimize dose in computerized tomography (CT) examinations. Objective: This study aims to develop an algorithm to automate noise measurement that can be i
Publikováno v:
Journal of Biomedical Physics & Engineering
Journal of Biomedical Physics and Engineering, Vol 10, Iss 3, Pp 251-260 (2020)
Journal of Biomedical Physics and Engineering, Vol 10, Iss 3, Pp 251-260 (2020)
Background: Gadolinium (Gd3+) is a chemical element belonging to the lanthanide group and commonly used in magnetic resonance imaging (MRI) as a contrast agent. However, recently, gadolinium has been reported deposition in the body after a patient re
Publikováno v:
Journal of Science: Advanced Materials and Devices, Vol 3, Iss 4, Pp 419-427 (2018)
Gadolinium oxide (Gd2O3) nanoparticles with paramagnetic properties and biocompatible surfaces are promising materials for bioimaging applications. We synthesized in situ pegylated Gd2O3 (Gd2O3@PEG) nanoparticles by liquid phase pulsed laser ablation
Publikováno v:
Polish Journal of Medical Physics and Engineering. 24:1-9
This paper presents an EEG study for coherence and phase synchrony in mild cognitive impairment (MCI) subjects. MCI is characterized by cognitive decline, which is an early stage of Alzheimer’s disease (AD). AD is a neurodegenerative disorder with
Publikováno v:
Journal of Physics: Conference Series. 1951:012064
The use of deep learning in medical image classification has become an important study in the past few years. The proper use of this method, however, is still hindered by many problems, one of it being the imbalance of dataset available for training