Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Mehmet Zubeyir Unlu"'
Autor:
Arda Sahin, Mehmet Zubeyir Unlu
Publikováno v:
Sustainable Engineering and Innovation, Vol 3, Iss 1, Pp 11-14 (2021)
The main objective of this study is to have the noise component of a speech signal eliminated and compressed by storing the locations and durations of silence regions. The separation between voiced, unvoiced, and silence regions is done by using the
Externí odkaz:
https://doaj.org/article/0ae7edb53b914b21ae655f89d582ad84
Publikováno v:
Signal, Image and Video Processing. 13:1377-1385
Unlu, Mehmet Zubeyir/0000-0003-1605-0160; Ergun, Asli/0000-0003-0476-0069
WOS: 000490956300015
Various measures are used to determine similarity ratios among images before and after image registration. Image registration methods are based o
WOS: 000490956300015
Various measures are used to determine similarity ratios among images before and after image registration. Image registration methods are based o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d1538e443400764c7a1591ca2e1f6c4
https://doi.org/10.1007/s11760-019-01483-8
https://doi.org/10.1007/s11760-019-01483-8
Publikováno v:
SIU
In this paper, handwritten character recognition by using characters' writing movements is investigated. To obtain the information about writing movements a 3-axis accelerometer is used. Just like most of other sensors, 3-axis accelerometers give the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be9a6d5a6d0231b2a202b33f8a7da4d4
https://doi.org/10.1109/siu.2017.7960527
https://doi.org/10.1109/siu.2017.7960527
Publikováno v:
SIU
In image registration process, it is necessary to find the similarity of the images and the translation, rotation and scaling transformation parameter values that maximize the similarity between the two images. When the similarity measure and related
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de7dbbd5523e9071d3dc6a96b724a407
https://doi.org/10.1109/siu.2017.7960448
https://doi.org/10.1109/siu.2017.7960448
Autor:
Esra Tuncer, Mehmet Zubeyir Unlu
Publikováno v:
SIU
In this work, a handwritten character recognition method is performed by using accelerometer. Usually, in character recognition studies, image processing methods are used. However in this work data obtained from writing movements of writers are used.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92060b368181351d812564ccbd08a68a
https://doi.org/10.1109/siu.2016.7496112
https://doi.org/10.1109/siu.2016.7496112
Autor:
Edward D. Lipson, Ioana L. Coman, James A. Mandel, Karl G. Baum, Andrezej Krol, Mehmet Zubeyir Unlu, David H. Feiglin, Wei Lee
Publikováno v:
Physica Medica. 21:39-43
We propose a finite-element method (FEM) deformable breast model that does not require elastic breast data for nonrigid PET/MRI breast image registration. The model is applicable only if the stress conditions in the imaged breast are virtually the sa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b179d22531c10449366adb1fe3c86212
https://doi.org/10.1016/s1120-1797(06)80022-0
https://doi.org/10.1016/s1120-1797(06)80022-0
Autor:
Mehmet Zubeyir Unlu, Ilker Ozsahin
Breast cancer is the most common leading cause of cancer death among women. Positron Emission Tomography (PET) Mammography, also known as Positron Emission Mammography (PEM), is a method for imaging primary breast cancer. Over the past few years, PEM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bbdc1ee7f2cf4e745ac1dba412abd9d
https://hdl.handle.net/20.500.12605/17536
https://hdl.handle.net/20.500.12605/17536
Publikováno v:
IPTA
3rd International Conference on Image Processing Theory, Tools and Applications, IPTA 2012; Istanbul; Turkey; 15 October 2012 through 18 October 2012
A fast and accurate liver segmentation method is a challenging work in medical image analysis a
A fast and accurate liver segmentation method is a challenging work in medical image analysis a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08013aa0aee2080bddcb15dc306352cf
https://avesis.deu.edu.tr/publication/details/a56f125c-4b37-4b33-baeb-bd9b3335350d/oai
https://avesis.deu.edu.tr/publication/details/a56f125c-4b37-4b33-baeb-bd9b3335350d/oai
Autor:
Edward D. Lipson, Mehmet Zubeyir Unlu, Andrzej Krol, James A. Mandel, Karl G. Baum, Ioana L. Coman, Alphonso Magri, David H. Feiglin, Wei Lee
We have developed and tested a new simple computerized finite element method (FEM) approach to MR-to-PET nonrigid breast-image registration. The method requires five-nine fiducial skin markers (FSMs) visible in MRI and PET that need to be located in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8f562df3c4c2021d09a78eaeb7b5cb7
http://hdl.handle.net/11147/2801
http://hdl.handle.net/11147/2801
Autor:
Alphonso Magri, Mehmet Zubeyir Unlu, Edward D. Lipson, David H. Feiglin, James A. Mandel, Wendy McGraw, Ioana L. Coman, Andrzej Krol, Wei Lee
Publikováno v:
Medical Imaging: Image Processing
This study was undertaken to correct for motion artifacts in dynamic breast F-18-FDG PET/CT images, to improve differential-image quality, and to increase accuracy of time-activity curves. Dynamic PET studies, with patients prone, and breast suspende
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a199ba58d339150d688b933eeb0af15
https://doi.org/10.1117/12.710014
https://doi.org/10.1117/12.710014