Uğur Halıcı

E-mail

halici@metu.edu.tr

Department

Department of Electrical and Electronics Engineering

ORCID

0000-0002-2469-1163

Scopus Author ID

7003652887

Web of Science Researcher ID

ABA-4356-2020

IR Reasoner: Real-time Infrared Object Detection by Visual Reasoning Gündoǧan, Meryem Mine; Aksoy, Tolga; Temizel, Alptekin; Halıcı, Uğur (2023-01-01) Thermal Infrared (IR) imagery is utilized in several applications due to their unique properties. However, there are a number of challenges, such as small target objects, image noise, lack of textural information, and back...
Self-training Guided Adversarial Domain Adaptation For Thermal Imagery Akkaya, Ibrahim Batuhan; Altinel, Fazil; Halıcı, Uğur (2021-01-01) Deep models trained on large-scale RGB image datasets have shown tremendous success. It is important to apply such deep models to real-world problems. However, these models suffer from a performance bottleneck under illumi...
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...

Citation Formats