Uğur Halıcı

E-mail
halici@metu.edu.tr
Department
Department of Electrical and Electronics Engineering
Scopus Author ID
Web of Science Researcher ID
Effect of input size on the classification of lung nodules using convolutional neural networks Akciǧer nodüllerinin evrişimsel sinir aǧlari kullanilarak siniflandirilmasinda girdi boyutunun etkisi
POLAT, Gorkem; Serinağaoğlu Doğrusöz, Yeşim; Halıcı, Uğur (2018-05-05)
Recent studies have shown that lung cancer screening using annual low-dose computed tomography (CT) reduces lung cancer mortality by 20% compared to traditional chest radiography. Therefore, CT lung screening has started t...
Deep convolutional neural networks for airport detection in remote sensing images
Budak, Umit; Sengur, Abdulkadir; Halıcı, Uğur (2018-05-05)
This study investigated the use of deep convolutional neural networks (CNNs) in providing a solution for the problem of airport detection in remote sensing images (RSIs). In recent years, Deep CNNs have gained much attenti...
Mouse face tracking using convolutional neural networks
Akkaya, Ibrahim Batuhan; Halıcı, Uğur (2018-03-01)
Facial expressions of laboratory mice provide important information for pain assessment to explore the effect of drugs being developed for medical purposes. For automatic pain assessment, a mouse face tracker is needed to ...
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
Bejnordi, Babak Ehteshami; VETA, Mitko; van Diest, Paul Johannes; van Ginneken, Bram; KARSSEMEİJER, Nico; LİTJENS, Geert; Halıcı, Uğur (2017-12-12)
© 2017 American Medical Association. All rights reserved.IMPORTANCE: Application of deep learning algorithms to whole-slide pathology imagescan potentially improve diagnostic accuracy and efficiency. OBJECTIVE: Assess the ...
Ensemble of Convolutional Neural Networks for Classification of Breast Microcalcification from Mammograms
SERT, Egemen; Ertekin Bolelli, Şeyda; Halıcı, Uğur (2017-07-15)
Human level recall performance in detecting breast cancer considering microcalcifications from mammograms has a recall value between 74.5% and 92.3%. In this research, we approach to breast microcalcification classificatio...
Brain Computer Interfaces for Silent Speech
TABAR, Yousef Rezaei; Halıcı, Uğur (2017-05-01)
Brain Computer Interface (BCI) systems provide control of external devices by using only brain activity. In recent years, there has been a great interest in developing BCI systems for different applications. These systems ...
Assessment of pain in mouse facial images Fare Yüzü Görüntülerinde Agri Derecelendirilmesi
Eral, Mustafa; Aktas, Canan Cakir; Kocak, Emine Eren; DALKARA, TURGAY; Halıcı, Uğur (2017-02-09)
© 2016 IEEE.Analysing mouse behavior in medical experiments to determine adverse effects of medical drugs requires special expertise and it is a time consuming tedious task. Automatic scaling of facial pain mimics in mice ...
A novel deep learning approach for classification of EEG motor imagery signals
TABAR, Yousef Rezaei; Halıcı, Uğur (IOP Publishing, 2017-02-01)
Objective. Signal classification is an important issue in brain computer interface (BCI) systems. Deep learning approaches have been used successfully in many recent studies to learn features and classify different types o...
Uydu Görüntülerinde Havaalanı Tespiti İçin Derin Öğrenme
Halıcı, Uğur; Budak, Ümit; Şengür, Abdulkadir (2016-12-14)
Assesment of Pain in Mouse Facial Images
ERAL, Mustafa; ÇAKIR AKTAŞ, Canan; EREN KOÇAK, EMİNE; DALKARA, TURGAY; Halıcı, Uğur (2016-11-05)
Analysing mouse behavior in medical experiments to determine adverse effects of medical drugs requires special expertise and it is a time consuming tedious task. Automatic scaling of facial pain mimics in mice are importan...
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