Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Ozdemir, Firat"'
Autor:
Obrist, Jan, Zamora, Miguel, Zheng, Hehui, Hinchet, Ronan, Ozdemir, Firat, Zarate, Juan, Katzschmann, Robert K., Coros, Stelian
Data-driven methods have shown great potential in solving challenging manipulation tasks, however, their application in the domain of deformable objects has been constrained, in part, by the lack of data. To address this, we propose PokeFlex, a datas
Externí odkaz:
http://arxiv.org/abs/2410.07688
Despite the major progress of deep models as learning machines, uncertainty estimation remains a major challenge. Existing solutions rely on modified loss functions or architectural changes. We propose to compensate for the lack of built-in uncertain
Externí odkaz:
http://arxiv.org/abs/2302.12606
Publikováno v:
Transactions on Machine Learning Research (2023) 2835-8856
Optoacoustic (OA) imaging is based on excitation of biological tissues with nanosecond-duration laser pulses followed by subsequent detection of ultrasound waves generated via light-absorption-mediated thermoelastic expansion. OA imaging features a p
Externí odkaz:
http://arxiv.org/abs/2206.08612
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 summar
Externí odkaz:
http://arxiv.org/abs/2201.12059
Autor:
Stalder, Michael, Ozdemir, Firat, Safin, Artur, Sukys, Jonas, Bouffard, Damien, Perez-Cruz, Fernando
Accurate lake temperature estimation is essential for numerous problems tackled in both hydrological and ecological domains. Nowadays physical models are developed to estimate lake dynamics; however, computations needed for accurate estimation of lak
Externí odkaz:
http://arxiv.org/abs/2109.13235
Autor:
Susmelj, Anna Klimovskaia, Lafci, Berkan, Ozdemir, Firat, Davoudi, Neda, Deán-Ben, Xosé Luís, Perez-Cruz, Fernando, Razansky, Daniel
Publikováno v:
In Medical Image Analysis January 2024 91
Bone surface delineation in ultrasound is of interest due to its potential in diagnosis, surgical planning, and post-operative follow-up in orthopedics, as well as the potential of using bones as anatomical landmarks in surgical navigation. We herein
Externí odkaz:
http://arxiv.org/abs/2001.02001
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:
http://arxiv.org/abs/1912.10493
Autor:
Ozdemir, Firat, Goksel, Orcun
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery, 2 May 2019, issn 1861-6429
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:
http://arxiv.org/abs/1811.04634
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