Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Berkan Solmaz"'
Publikováno v:
IET Computer Vision, Vol 12, Iss 8, Pp 1121-1132 (2018)
Recent advances in large‐scale image and video analysis have empowered the potential capabilities of visual surveillance systems. In particular, deep learning‐based approaches bring in substantial benefits in solving certain computer vision probl
Externí odkaz:
https://doaj.org/article/6935e6e212764a508192d4c63b965c70
Autor:
Satomi Kawamoto, Berkan Solmaz, Alan L. Yuille, Ralph H. Hruban, Linda C. Chu, Seyoun Park, Elliot K. Fishman
Publikováno v:
Abdominal Radiology. 45:2469-2475
The purpose of this study is to evaluate diagnostic performance of a commercially available radiomics research prototype vs. an in-house radiomics software in the binary classification of CT images from patients with pancreatic ductal adenocarcinoma
Publikováno v:
SIU
Face recognition is a key task of computer vision research that has been employed for various purposes. There are many studies in the literature that attempts for solving this problem. Especially in recent years, deep learning methods have been utili
Publikováno v:
IET Computer Vision. 12:1121-1132
Recent advances in large-scale image and video analysis have empowered the potential capabilities of visual surveillance systems. In particular, deep learning-based approaches bring in substantial benefits in solving certain computer vision problems
Autor:
Berkan Solmaz, Tessa Hart, Ragini Verma, Morgan Rohrbach, Junghoon Kim, John Whyte, Birkan Tunç, Drew Parker, Amanda R. Rabinowitz
Publikováno v:
Human Brain Mapping. 38:2913-2922
Many of the clinical and behavioral manifestations of traumatic brain injury (TBI) are thought to arise from disruption to the structural network of the brain due to diffuse axonal injury (DAI). However, a principled way of summarizing diffuse connec
Autor:
Kaan Karaman, Berkan Solmaz
Publikováno v:
SIU
The presence of rapidly increasing visual data adds importance to the computer vision studies for automatic analysis and interpretation of content. Although the nervous and sensory systems in humans easily perform the processes such as understanding
Autor:
Berkan Solmaz
Publikováno v:
Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies II.
Visual surveillance is of utmost importance for ensuring public safety and, detecting and preventing violent activities. The rapidly increasing number of surveillance cameras makes automated visual surveillance necessary, since monitoring a large of
Publikováno v:
SIU
Learning low dimensional meaningful representations of data is an important task for classification, visualization and compression. Using autoencoders for representation learning is a successful application of deep learning. Recently, variational aut
Autor:
Berkan Solmaz, Celalettin Yurdakul, Aykut Koc, Ekmel Ozbay, Çağatay Işıl, Mustafa Yorulmaz, Adil Burak Turhan, Selim Unlu
Publikováno v:
Applied Optics
Wide-field interferometric microscopy is a highly sensitive, label-free, and low-cost biosensing imaging technique capable of visualizing individual biological nanoparticles such as viral pathogens and exosomes. However, further resolution enhancemen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::689714dee447eb0a415f59bd8f408031
https://aperta.ulakbim.gov.tr/record/36011
https://aperta.ulakbim.gov.tr/record/36011
Publikováno v:
IPSJ Transactions on Computer Vision and Applications, Vol 9, Iss 1, Pp 1-18 (2017)
Fine-grained visual categorization has recently received great attention as the volumes of labeled datasets for classification of specific objects, such as cars, bird species, and air-crafts, have been increasing. The availability of large datasets l