Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ceren Aliş"'
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:
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:
Archives of Epilepsy, Vol 29, Iss 2, Pp 56-61 (2023)
Objective:Video-electroencephalography (EEG) monitoring (VEM) is an essential tool in diagnosing and treating epilepsy as it enables real-time monitoring and recording of electrical activity in the brain. We investigated the role of VEM in the diagno
Externí odkaz:
https://doaj.org/article/de67d4ebdd564bd9b57922a43d493e4f
Publikováno v:
Türk Uyku Tıbbı Dergisi, Vol 8, Iss 1, Pp 15-19 (2021)
Objective:Central or mixed apneas may accompany obstructive apneas in patients with Obstructive Sleep Apnea syndrome (OSAS). There is scant evidence about the potential impact of mixed apneas on the therapy modalities. Here, apneas/hypopnoeas’ cent
Externí odkaz:
https://doaj.org/article/9c64cda5de394922bd980995c3b84cc3
Autor:
Merve Hazal Ser, Uygur Tanrıverdi, Çiğdem Özkara, Sabahattin Saip, Ceren Aliş, Zeynep Ece Kaya Güleç, Gözde Nezir, Esra Koçhan Kızılkılıç, Merve Aktan Süzgün, Hikmet Abbaszade, Şermin Börekçi, Rıdvan Karaali, Osman Kızılkılıç, Ayşegül Gündüz, Feray Karaali Savrun
Publikováno v:
Acta Neurologica Belgica
Objective The aim of this study was to evaluate patients who were hospitalized with a diagnosis of COVID-19 and were consulted by neurology during their hospital stay. Methods All files of patients with COVID-19 who were admitted to Cerrahpasa Medica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8468e27a567b6ea4f3b8e71483f3c6ea
https://doi.org/10.1007/s13760-021-01836-6
https://doi.org/10.1007/s13760-021-01836-6
Publikováno v:
Journal of Clinical Neurophysiology. 40:165-172
PURPOSE Apneas are classified in three categories, as obstructive, central, and mixed types. Mixed apneas are calculated together with the obstructive events in diagnosing obstructive sleep apnea syndrome (SAS). The clinical significance of mixed apn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a778eea973a3c04f4309a14d01aa0f4
https://doi.org/10.1097/wnp.0000000000000869
https://doi.org/10.1097/wnp.0000000000000869
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