Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Tamersoy, Birgi"'
Despite recent developments in CT planning that enabled automation in patient positioning, time-consuming scout scans are still needed to compute dose profile and ensure the patient is properly positioned. In this paper, we present a novel method whi
Externí odkaz:
http://arxiv.org/abs/2309.15750
Autor:
Shahzadi, Iram, Tamersoy, Birgi, Frohwein, Lynn Johann, Subramanian, Sesha, Moenninghoff, Christoph, Niehoff, Julius Henning, Kroeger, Jan Robert, Surov, Alexey, Borggrefe, Jan
Publikováno v:
In Academic Radiology July 2024 31(7):2715-2724
Landmark localization is a challenging problem in computer vision with a multitude of applications. Recent deep learning based methods have shown improved results by regressing likelihood maps instead of regressing the coordinates directly. However,
Externí odkaz:
http://arxiv.org/abs/1908.01070
Autor:
Teixeira, Brian, Singh, Vivek, Chen, Terrence, Ma, Kai, Tamersoy, Birgi, Wu, Yifan, Balashova, Elena, Comaniciu, Dorin
We present a novel framework that learns to predict human anatomy from body surface. Specifically, our approach generates a synthetic X-ray image of a person only from the person's surface geometry. Furthermore, the synthetic X-ray image is parametri
Externí odkaz:
http://arxiv.org/abs/1805.00553
Autor:
Tamersoy, Birgi
Accurate and efficient localization of facial features is a crucial first step in many face-related computer vision tasks. Some of these tasks include, but not limited to: identity recognition, expression recognition, and head-pose estimation. Most e
Externí odkaz:
http://hdl.handle.net/2152/25995
Publikováno v:
2013 IEEE Conference on Computer Vision & Pattern Recognition Workshops; 2013, p838-845, 8p
Autor:
Tamersoy, Birgi
We present a novel approach for vehicle detection and tracking in highway surveillance videos. This method incorporates well-studied computer vision and machine learning techniques to form an unsupervised system, where vehicles are automatically "lea
Externí odkaz:
http://hdl.handle.net/2152/ETD-UT-2009-08-316
Autor:
Abirached, Bretagne, Zhang, Yan, Aggarwal, J. K., Tamersoy, Birgi, Fernandes, Tiago, Carlos, Jose
Publikováno v:
2011 IEEE 1st International Conference on Serious Games & Applications for Health (SeGAH); 1/ 1/2011, p1-4, 4p
Publikováno v:
Machine Vision & Applications. Jan2020, Vol. 31 Issue 1, p1-18. 18p.
Publikováno v:
Investigative Radiology; Nov2018, Vol. 53 Issue 11, p641-646, 6p