Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Firat Ozdemir"'
Autor:
Shkurta Gashi, Pietro Oldrati, Max Moebus, Marc Hilty, Liliana Barrios, Firat Ozdemir, PHRT Consortium, Veronika Kana, Andreas Lutterotti, Gunnar Rätsch, Christian Holz
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract Multiple sclerosis (MS) is a neurological disease of the central nervous system that is the leading cause of non-traumatic disability in young adults. Clinical laboratory tests and neuroimaging studies are the standard methods to diagnose an
Externí odkaz:
https://doaj.org/article/85057b2a37ad466fb1194689e9ebb632
Publikováno v:
SciPost Physics Core, Vol 5, Iss 3, p 043 (2022)
For stochastic models with intractable likelihood functions, approximate Bayesian computation offers a way of approximating the true posterior through repeated comparisons of observations with simulated model outputs in terms of a small set of sum
Externí odkaz:
https://doaj.org/article/50aeffde2edc466a96863508847d68ef
Atmospheric radiative transfer, which describes the evolution of radiation emitted by the Sun, the Earth's surface, clouds, and greenhouse gases, is an essential component of climate and weather modeling. In climate models, the transfer of radiation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c948bf698c219a84c57187c3972a63c8
https://doi.org/10.5194/ems2022-419
https://doi.org/10.5194/ems2022-419
Segmentation of anatomical structures is a fundamental image analysis task for many applications in the medical field. Deep learning methods have been shown to perform well, but for this purpose large numbers of manual annotations are needed in the f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::642dd515bf922d2e856ab1c9a8a44830
https://doi.org/10.5167/uzh-201203
https://doi.org/10.5167/uzh-201203
Autor:
Artur Safin, Damien Bouffard, Fotis Georgatos, Jonas Šukys, James Runnalls, Firat Ozdemir, Camille Minaudo, Cintia L. Ramón
Publikováno v:
Geoscientific Model Development, 15 (20)
We present a Bayesian inference for a three-dimensional hydrodynamic model of Lake Geneva with stochastic weather forcing and high-frequency observational datasets. This is achieved by coupling a Bayesian inference package, SPUX, with a hydrodynamics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57859c782886f0733f8305920abf53d2
https://doi.org/10.5194/gmd-2021-305
https://doi.org/10.5194/gmd-2021-305
Autor:
Fernando Perez Cruz, Fotis Georgatos, Damien Bouffard, Jonas Šukys, Firat Ozdemir, James Runnalls, Artur Safin, Eric Bouillet
Lakes form an integral component of ecosystems and our communities. Aside from being a source of drinking water, lakes provide additional benefits such as recreation, heat management and fishing. At the same time, human activity can significantly dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a65fb766329c7b51bad49702444a335
https://doi.org/10.5194/egusphere-egu2020-19564
https://doi.org/10.5194/egusphere-egu2020-19564
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 12:1031-1039
Planning orthopedic surgeries is commonly performed in computed tomography (CT) images due to the higher contrast of bony structure. However, soft tissues such as muscles and ligaments that may determine the functional outcome of a procedure are not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7aacb5760d0c2e20853d56960c4eb7e
https://doi.org/10.1007/s11548-017-1570-0
https://doi.org/10.1007/s11548-017-1570-0
Publikováno v:
Proceedings of SPIE, 10955
Medical Imaging 2019: Ultrasonic Imaging and Tomography
Medical Imaging 2019: Ultrasonic Imaging and Tomography
For computer-assisted interventions in orthopedic surgery, automatic bone surface delineation can be of great value. For instance, given such a method, an automatically extracted bone surface from intraoperative imaging modalities can be registered t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0ecdbae79a8267774dc6c9a3705dd33
https://doi.org/10.1117/12.2512997
https://doi.org/10.1117/12.2512997
Autor:
Firat Ozdemir, Orcun Goksel
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery, 14 (7)
Comprehensive surgical planning require complex patient-specific anatomical models. For instance, functional muskuloskeletal simulations necessitate all relevant structures to be segmented, which could be performed in real-time using deep neural netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67efd32db0dc2656f0932149d5f3f6b0
http://arxiv.org/abs/1811.04634
http://arxiv.org/abs/1811.04634