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A joint convolutional-recurrent neural network with an attention mechanism for detecting intracranial hemorrhage on noncontrast head CT.
Sci Rep. 2022 Feb 8;12(1):2084. doi: 10.1038/s41598-022-05872-x.
Sci Rep. 2022.
PMID: 35136123
Free PMC article.
Inter-vendor performance of deep learning in segmenting acute ischemic lesions on diffusion-weighted imaging: a multicenter study.
Alis D, Yergin M, Alis C, Topel C, Asmakutlu O, Bagcilar O, Senli YD, Ustundag A, Salt V, Dogan SN, Velioglu M, Selcuk HH, Kara B, Oksuz I, Kizilkilic O, Karaarslan E.
Alis D, et al. Among authors: senli yd.
Sci Rep. 2021 Jun 14;11(1):12434. doi: 10.1038/s41598-021-91467-x.
Sci Rep. 2021.
PMID: 34127692
Free PMC article.
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The diagnostic value of quantitative texture analysis of conventional MRI sequences using artificial neural networks in grading gliomas.
Alis D, Bagcilar O, Senli YD, Isler C, Yergin M, Kocer N, Islak C, Kizilkilic O.
Alis D, et al. Among authors: senli yd.
Clin Radiol. 2020 May;75(5):351-357. doi: 10.1016/j.crad.2019.12.008. Epub 2020 Jan 21.
Clin Radiol. 2020.
PMID: 31973941
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Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomas.
Alis D, Bagcilar O, Senli YD, Yergin M, Isler C, Kocer N, Islak C, Kizilkilic O.
Alis D, et al. Among authors: senli yd.
Jpn J Radiol. 2020 Feb;38(2):135-143. doi: 10.1007/s11604-019-00902-7. Epub 2019 Nov 18.
Jpn J Radiol. 2020.
PMID: 31741126
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