Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ömer Bağcılar"'
Autor:
Omer Bagcilar, Deniz Alis, Ceren Alis, Mustafa Ege Seker, Mert Yergin, Ahmet Ustundag, Emil Hikmet, Alperen Tezcan, Gokhan Polat, Ahmet Tugrul Akkus, Fatih Alper, Murat Velioglu, Omer Yildiz, Hakan Hatem Selcuk, Ilkay Oksuz, Osman Kizilkilic, Ercan Karaarslan
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract The use of deep learning (DL) techniques for automated diagnosis of large vessel occlusion (LVO) and collateral scoring on computed tomography angiography (CTA) is gaining attention. In this study, a state-of-the-art self-configuring object
Externí odkaz:
https://doaj.org/article/1bde78bbbdf84660812bf903593a17c4
Autor:
Deniz Alis, Ceren Alis, Mert Yergin, Cagdas Topel, Ozan Asmakutlu, Omer Bagcilar, Yeseren Deniz Senli, Ahmet Ustundag, Vefa Salt, Sebahat Nacar Dogan, Murat Velioglu, Hakan Hatem Selcuk, Batuhan Kara, Caner Ozer, Ilkay Oksuz, Osman Kizilkilic, Ercan Karaarslan
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract To investigate the performance of a joint convolutional neural networks-recurrent neural networks (CNN-RNN) using an attention mechanism in identifying and classifying intracranial hemorrhage (ICH) on a large multi-center dataset; to test it
Externí odkaz:
https://doaj.org/article/40d9024177f54153a115a4f0937e7097
Autor:
Omer Bagcilar, Deniz Alis, Mustafa Seker, Servet Erdemli, Umut Karaarslan, Aylin Kus, Cavit Kayhan, Yesim Saglican, Ali Kural, Ercan Karaarslan
Publikováno v:
Journal of the Belgian Society of Radiology, Vol 106, Iss 1 (2022)
Objectives: To compare the effectiveness of individual multiparametric prostate MRI (mpMRI) sequences—T2W, diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC), and dynamic contrast-enhanced (DCE)—in assessing prostate cancer
Externí odkaz:
https://doaj.org/article/cc10fe8eb40f4f5b8176d6a29ced2cdc
Autor:
Deniz Alis, Mert Yergin, Ceren Alis, Cagdas Topel, Ozan Asmakutlu, Omer Bagcilar, Yeseren Deniz Senli, Ahmet Ustundag, Vefa Salt, Sebahat Nacar Dogan, Murat Velioglu, Hakan Hatem Selcuk, Batuhan Kara, Ilkay Oksuz, Osman Kizilkilic, Ercan Karaarslan
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract There is little evidence on the applicability of deep learning (DL) in the segmentation of acute ischemic lesions on diffusion-weighted imaging (DWI) between magnetic resonance imaging (MRI) scanners of different manufacturers. We retrospect
Externí odkaz:
https://doaj.org/article/897683b2837b4094b80466289ed7a30d
Publikováno v:
Diagnostic and Interventional Radiology, Vol 30, Iss 1, Pp 72-73 (2024)
Externí odkaz:
https://doaj.org/article/daef782c193c4fa7814cab85d37eaf73
Publikováno v:
Diagnostic and Interventional Radiology.