Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Ercan, Karaarslan"'
Autor:
Deniz Alis, Toygar Tanyel, Emine Meltem, Mustafa Ege Seker, Delal Seker, Hakkı Muammer Karakaş, Ercan Karaarslan, İlkay Öksüz
Publikováno v:
Diagnostic and Interventional Radiology, Vol 30, Iss 6, Pp 357-365 (2024)
The rapid evolution of artificial intelligence (AI), particularly in deep learning, has significantly impacted radiology, introducing an array of AI solutions for interpretative tasks. This paper provides radiology departments with a practical guide
Externí odkaz:
https://doaj.org/article/be03741b79b24f8bb511d29b51d6162e
Autor:
Ahmet Karagoz, Deniz Alis, Mustafa Ege Seker, Gokberk Zeybel, Mert Yergin, Ilkay Oksuz, Ercan Karaarslan
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Objective To evaluate the effectiveness of a self-adapting deep network, trained on large-scale bi-parametric MRI data, in detecting clinically significant prostate cancer (csPCa) in external multi-center data from men of diverse demographic
Externí odkaz:
https://doaj.org/article/b825d9c511e44c1e94a03423ff5a23f1
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:
Aydan Arslan, Deniz Alis, Servet Erdemli, Mustafa Ege Seker, Gokberk Zeybel, Sabri Sirolu, Serpil Kurtcan, Ercan Karaarslan
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-10 (2023)
Key points Radiologists with varying experiences assigned the scores with and without the DL. The radiologists infrequently changed their initial PI-RADS scores. The DL software did not improve the PI-RADS scoring consistency. The DL software did not
Externí odkaz:
https://doaj.org/article/6a58ba5ed4d642e8b45485005b92430d
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:
Ercan Karaarslan, Aylin Altan Kus, Deniz Alis, Umut Can Karaarslan, Yesim Saglican, Omer Burak Argun, Ali Riza Kural
Publikováno v:
Diagnostic and Interventional Radiology, Vol 28, Iss 1, Pp 12-20 (2022)
PURPOSE:In this study, we assessed the performance of apparent diffusion coefficient (ADC) and diffusion-weighted imaging (DWI) metrics and their ratios across different magnetic resonance imaging (MRI) acquisition settings, with or without an endore
Externí odkaz:
https://doaj.org/article/9b521709629742a39ea0a969b602c097
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:
Haseki Tıp Bülteni, Vol 57, Iss 2, Pp 142-146 (2019)
Aim:We explored whether a reduction in the radiation dose affected the quality of diagnostic images generated using third-generation dual-source computed tomography (CT) running advanced third-generation iterative reconstruction software.Methods:From
Externí odkaz:
https://doaj.org/article/33649ec1d0174768b30a19c769d998c6
Autor:
Altug Yucekul, Burcu Akpunarli, Atahan Durbas, Tais Zulemyan, Irem Havlucu, Gokhan Ergene, Sahin Senay, Pinar Yalinay Dikmen, Sule Turgut Balci, Ercan Karaarslan, Yasemin Yavuz, Caglar Yilgor, Ahmet Alanay
Publikováno v:
Brain and Spine, Vol 1, Iss , Pp 100186- (2021)
Externí odkaz:
https://doaj.org/article/7cb8015c096d4822af2357ac5be30fc1