Match!
Naciye Sinem Gezer
Dokuz Eylül University
RadiologySurgeryPathologyFetusMedicine
42Publications
6H-index
145Citations
What is this?
Publications 53
Newest
#1Naciye Sinem Gezer (Dokuz Eylül University)H-Index: 6
#3Begum Ergan (Dokuz Eylül University)H-Index: 4
Last. Oguz Kilinc (Dokuz Eylül University)H-Index: 8
view all 9 authors...
PURPOSE: Because of the widespread use of CT in the diagnosis of COVID 19, indeterminate presentations such as single, few or unilateral lesions amount to a considerable number. We aimed to develop a new classification and structured reporting system on CT imaging (COVID-19 S) that would facilitate the diagnosis of COVID-19 in the most accurate way. METHODS: Our retrospective cohort included 803 patients with a chest CT scan upon suspicion of COVID 19. The patients' history, physical examination...
Source
#1Oğuz Yüksel (Dokuz Eylül University)H-Index: 4
#2Naciye Sinem Gezer (Dokuz Eylül University)H-Index: 6
Last. Funda Obuz (Dokuz Eylül University)H-Index: 14
view all 9 authors...
Purpose To evaluate the trophic changes in rectus abdominis and psoas muscles in patients who underwent open or laparoscopic rectum resection for rectal cancer.
Source
#3Naciye Sinem Gezer (Dokuz Eylül University)H-Index: 6
Last. Ali Balci (Dokuz Eylül University)H-Index: 15
view all 4 authors...
OBJECTIVE The aim of this study was to detect the relationship between the development of Schmorl's nodes (SNs) and bone mineral density (BMD) in young patients. METHODS Computerized tomography (CT) images of the thoracolumbar vertebral column were retrospectively examined by two experienced radiologists for SNs. The diagnostic criterion for SN was defined as a node size larger than one-third but not more than two-thirds of the relevant vertebral endplate. Considering the eligibility criteria, a...
Source
#1Naciye Sinem Gezer (Dokuz Eylül University)H-Index: 6
Source
#1Erdoğan Aldemir (Dokuz Eylül University)H-Index: 1
#2Naciye Sinem Gezer (Dokuz Eylül University)H-Index: 6
Last. M. Alper Selver (Dokuz Eylül University)H-Index: 6
view all 7 authors...
BACKGROUND: DICOM standard does not have modules that provide the possibilities of two-dimensional Presentation States to three-dimensional (3D). Once the final 3D rendering is obtained, only video/image exporting or snapshots can be used. To increase the utility of 3D Presentation States in clinical practice and teleradiology, the storing and transferring the segmentation results, obtained after tedious procedures, can be very effective. PURPOSE: To propose a strategy for preserving interaction...
Source
Objective : Abdominal anatomy segmentation is crucial for numerous applications from computer-assisted diagnosis to image-guided surgery. In this context, we address fully-automated multi-organ segmentation from abdominal CT and MR images using deep learning. Methods: The proposed model extends standard conditional generative adversarial networks. Additionally to the discriminator which enforces the model to create realistic organ delineations, it embeds cascaded partially pre-trained convolutio...
1 Citations
Segmentation of abdominal organs has been a comprehensive, yet unresolved, research field for many years. In the last decade, intensive developments in deep learning (DL) have introduced new state-of-the-art segmentation systems. Despite outperforming the overall accuracy of existing systems, the effects of DL model properties and parameters on the performance is hard to interpret. This makes comparative analysis a necessary tool to achieve explainable studies and systems. Moreover, the performa...
6 Citations
#1Ali Emre Kavur (Dokuz Eylül University)
Last. M. Alper SelverH-Index: 6
view all 13 authors...
PURPOSE: To compare the accuracy and repeatability of emerging machine learning based (i.e. deep) automatic segmentation algorithms with those of well-established semi-automatic (interactive) methods for determining liver volume in living liver transplant donors at computerized tomography (CT) imaging. METHODS: A total of 12 (6 semi-, 6 full-automatic) methods are evaluated. The semi-automatic segmentation algorithms are based on both traditional iterative models including watershed, fast marchi...
Source
#1Sadettin UsluH-Index: 1
Last. Fatos OnenH-Index: 22
view all 5 authors...
Tumor nekroz faktoru inhibitoru (TNFi) tedavileri gunumuzde bircok romatizmal hastalikta en onemli tedavi basamaklarindan birini olusturmaktadir. Bununla birlikte, bu ajanlarin kullaniminin bircok paradoksal otoimmun hastaligin gelisimi ile iliskili oldugu gosterilmistir. Bu vaka sunumunda etanersept tedavisi altinda paradoksal sarkoidoz gelisen hastayi guncel literatur esliginde tartismayi amacladik. Psoriatik artrit (PsA) tanisi ile 3 yildir etanercept (50 mg/hafta subkutan) kullanan 40 yasind...
Source
#1Parvin Huseynova (Dokuz Eylül University)
#2Naciye Sinem Gezer (Dokuz Eylül University)H-Index: 6
Last. M. Alper Selver (Dokuz Eylül University)H-Index: 6
view all 3 authors...
Extraction of liver vascular tree of the donor liver from abdominal computer tomography angiography (CTA) images is an important step that needs to be performed before surgical operation for living donated liver transplantations. However, due to the low contrast between vessels and other tissues of liver caused by various reasons, and varying vascular tree structures for each patient makes this process highly challenging. In this paper, the process of creating ground truth data for 20 CTA datase...
Source
123456