Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yusuf Özbek"'
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery
PurposeAn intraoperative real-time respiratory tumor motion prediction system with magnetic tracking technology is presented. Based on respiratory movements in different body regions, it provides patient and single/multiple tumor-specific prediction
Autor:
Christian Plattner, Volker Schartinger, Yusuf Özbek, Thomas Hofmann, Srdjan Milosavljevic, Zoltán R. Bárdosi, Wolfgang Freysinger
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery
Purpose A robotic intraoperative laser guidance system with hybrid optic-magnetic tracking for skull base surgery is presented. It provides in situ augmented reality guidance for microscopic interventions at the lateral skull base with minimal mental
Autor:
Christian Plattner, Mario Griesser, Michael Vogele, Pedro Costa, Matthias Wieczorek, Yusuf Özbek
Publikováno v:
Current Directions in Biomedical Engineering, Vol 6, Iss 1, Pp 51-12 (2020)
Fluoroscopy-guided percutaneous biopsy interventions are mostly performed with traditional free-hand technique. The practical experience of the surgeon influences the duration of the intervention and the radiation exposure for patients and him-/herse
Publikováno v:
Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis ISBN: 9783030008062
DATRA/PIPPI@MICCAI
DATRA/PIPPI@MICCAI
Real-time tracking of tumor motion due to the patient’s respiratory cycle is a crucial task in radiotherapy treatments. In this work a proof-of-concept setup is presented where real-time tracked external skin attached sensors are used to predict th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5587671a2793d0bbac1eb0df9dcc50cb
https://doi.org/10.1007/978-3-030-00807-9_5
https://doi.org/10.1007/978-3-030-00807-9_5
Autor:
Wilbert A. McClay, Nancy Yadav, Yusuf Ozbek, Andy Haas, Hagaii T. Attias, Srikantan S. Nagarajan
Publikováno v:
Brain Sciences, Vol 5, Iss 4, Pp 419-440 (2015)
Ecumenically, the fastest growing segment of Big Data is human biology-related data and the annual data creation is on the order of zetabytes. The implications are global across industries, of which the treatment of brain related illnesses and trauma
Externí odkaz:
https://doaj.org/article/58743e8e417a4b198b5f78fd1d0f1dd3