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sengul albayrak
(7 results)?
Knee Meniscus Segmentation and Tear Detection from MRI: A Review.
Curr Med Imaging Rev. 2020;16(1):2-15. doi: 10.2174/1573405614666181017122109.
Curr Med Imaging Rev. 2020.
PMID: 31989889
Review.
An efficient and fast computer-aided method for fully automated diagnosis of meniscal tears from magnetic resonance images.
Saygılı A, Albayrak S.
Saygılı A, et al. Among authors: albayrak s.
Artif Intell Med. 2019 Jun;97:118-130. doi: 10.1016/j.artmed.2018.11.008. Epub 2018 Dec 5.
Artif Intell Med. 2019.
PMID: 30527276
Item in Clipboard
A new scheme for automatic 2D detection of spheric and aspheric femoral heads: A case study on coronal MR images of bilateral hip joints of patients with Legg-Calve-Perthes disease.
Memiş A, Albayrak S, Bilgili F.
Memiş A, et al. Among authors: albayrak s.
Comput Methods Programs Biomed. 2019 Jul;175:83-93. doi: 10.1016/j.cmpb.2019.04.001. Epub 2019 Apr 1.
Comput Methods Programs Biomed. 2019.
PMID: 31104717
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Automatic segmentation of cartilage in high-field magnetic resonance images of the knee joint with an improved voxel-classification-driven region-growing algorithm using vicinity-correlated subsampling.
Öztürk CN, Albayrak S.
Öztürk CN, et al. Among authors: albayrak s.
Comput Biol Med. 2016 May 1;72:90-107. doi: 10.1016/j.compbiomed.2016.03.011. Epub 2016 Mar 18.
Comput Biol Med. 2016.
PMID: 27017069
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Segmentation of Bone with Region Based Active Contour Model in PD Weighted MR Images of Shoulder.
Sezer A, Sezer HB, Albayrak S.
Sezer A, et al. Among authors: albayrak s.
Comput Math Methods Med. 2015;2015:754894. doi: 10.1155/2015/754894. Epub 2015 May 7.
Comput Math Methods Med. 2015.
PMID: 26064185
Free PMC article.
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