Výsledky vyhledávání - "Fusun Citak Er"

Machine-learning in grading of gliomas based on multi-parametric magnetic resonance imaging at 3T

Autor: Zeynep Firat, Fusun Citak-Er, Ilhami Kovanlikaya, Esin Ozturk-Isik, Uğur Türe

Publikováno v: Computers in Biology and Medicine. 99:154-160

Objective The objective of this study was to assess the contribution of multi-parametric (mp) magnetic resonance imaging (MRI) quantitative features in the machine learning-based grading of gliomas with a multi-region-of-interests approach. Materials

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b93771b4f195536ac92270f5cabbe6e5
https://doi.org/10.1016/j.compbiomed.2018.06.009

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Although Cognitive Tests Still in Normal Limits, Tau is high and Amyloid-β is low in APOEɛ4 Carriers in Cases with Subjective Memory Complaints

Autor: Nilgun Cinar, Sevki Sahin, Fusun Citak-Er, Baris Topcular, Ateş, Miruna Florentina, Karsidag, Sibel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::229d6be045f59d579a82e47409eabec6

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The effect of Apolipoprotein E Genotype in the Late Mild Cognitive Impairment: A Longitudinal Study

Autor: Nilgun Cinar, Sevki Sahin, Fusun Citak-Er, Baris Topcular, Ateş, Miruna Florentina, Karsidag, Sibel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::05c3b9aedf90c2424ab83228565ee6d4

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Alzheimer Hastalığı Belirteçlerinin Zamansal Değişimi

Autor: Sevki Sahin, Nilgun Cinar, Fusun Citak-Er, Baris Topcular, Ateş, Miruna Florentina, Karsidag, Sibel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0328d56dc0c081d957dca187f70290c9

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Classification of phosphorus magnetic resonance spectroscopic imaging of brain tumors using support vector machine and logistic regression at 3T

Autor: Esin Ozturk-Isik, Fusun Citak Er, Gokce Hale Hatay, Emre Okeer, Muhammed Yildirim, Bahattin Hakyemez

Publikováno v: EMBC

This study aims classification of phosphorus magnetic resonance spectroscopic imaging (31P-MRSI) data of human brain tumors using machine-learning algorithms. The metabolite peak intensities and ratios were estimated for brain tumor and healthy 31P M

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f22e145160f3b07300e6070f86dc63d
https://pubmed.ncbi.nlm.nih.gov/25570471

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Final Gleason Score Prediction Using Discriminant Analysis and Support Vector Machine Based on Preoperative Multiparametric MR Imaging of Prostate Cancer at 3T

Autor: Esin Ozturk-Isik, Tarık Esen, Aslihan Onay, Metin Vural, Fusun Citak-Er, Ömer Acar

Publikováno v: BioMed Research International
BioMed Research International, Vol 2014 (2014)
Biomed Research International

Objective. This study aimed at evaluating linear discriminant analysis (LDA) and support vector machine (SVM) classifiers for estimating final Gleason score preoperatively using multiparametric magnetic resonance imaging (mp-MRI) and clinical paramet

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f447649e2fc43077e18d280f035e862a
http://europepmc.org/articles/PMC4269213

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Multivariate discriminant analysis of multiparametric brain MRI to differentiate high grade and low grade gliomas — A computer-aided diagnosis development study

Autor: Uğur Türe, Zeynep Firat, Esin Ozturk-Isik, Ilhami Kovanlikaya, Fusun Citak Er

Publikováno v: BIBE

The aim of this study is to investigate the predictive capacity of multiparametric magnetic resonance imaging (MRI) findings using multivariate discriminant analysis. Preoperative clinical findings and multiparametric MRI, including diffusion weighte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b58daa65d2134ca5748c3f926d3aa801
https://doi.org/10.1109/bibe.2013.6701649

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