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Ilker Ozsahin
Assoc. Prof. Ilker Ozsahin is a highly experienced professional in the field of medical imaging, specializing in technologies such as Positron Emission Tomography, Positron Emissio...visualizza altroAssoc. Prof. Ilker Ozsahin is a highly experienced professional in the field of medical imaging, specializing in technologies such as Positron Emission Tomography, Positron Emission Mammography, Single Photon Emission Computed Tomography, and Compton Camera. With a diverse scientific background encompassing high-energy physics, solid-state physics, and medical imaging, he has conducted research across various prestigious institutions worldwide. Ilker's academic pursuits have taken him to the University of Illinois in the USA, where he studied carbon nanotube formation, and to Universidad Autonoma de Barcelona in Spain, where he completed his PhD studies on PET. Additionally, he served as a research assistant at Cukurova University in Turkey for six years while pursuing his PhD. Following the completion of his doctoral degree, he was awarded the International Postdoctoral Research Scholarship by The Scientific and Technological Research Council of Turkey, enabling him to conduct postdoctoral research at Harvard Medical School (HMS) and Massachusetts General Hospital (MGH). During this time, he contributed to the development of advanced gamma cameras and image reconstruction algorithms, as well as investigating the impact of general anesthesia on brain function in small animals using functional imaging techniques. Ilker has also worked as a visiting postdoctoral fellow at the University of Macau, focusing on multi-pinhole SPECT collimator design for brain, cardiac, and small animal imaging. Additionally, he has conducted research at CERN for HCAL upgrade studies in the CMS experiment. Currently, Ilker serves as an Associate Professor in the Biomedical Engineering Department at Near East University and holds the position of visiting fellow at Cornell University.visualizza meno
Libri di Ilker Ozsahin
Modern Practical Healthcare Issues in Biomedical Instrumentation Applied Machine Learning and Multi-criteria Decision-making in Healthcare Valutazione: 0 su 5 stelle0 valutazioni