Yazar "0000-0003-2954-1217" için Elektrik - Elektronik Mühendisliği Bölümü Koleksiyonu listeleme
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Comparison of 3D texture features and metabolic parameters obtained from 18-F FDG-PET/CT images for evaluating tumor stage and subtype in non-small cell lung cancer
Karacavus, S.; Yılmaz, Bülent; Ayyildiz, Oğuzhan; Kayaalti, O.; Tasdemir, A.; Kaya, E.; İçer, Semra; Eset, K.; Vardareli, E.; Asyali, M. H. (SPRINGER, 2015).... -
Comparison of Lung Tumor Segmentation Methods on PET Images
Eset, Kubra; Icer, Semra; Karacavus, Seyhan; Yilmaz, Bulent; Kayaalti, Omer; Ayyildiz, Oguzhan; Kaya, Eser (IEEE, 2015)Akciğer kanseri, tüm dünyada kansere bağlı gerçekleşen ölümlerin en sık nedenidir. Son zamanlarda, tümör içi 18Fflorodeoksiglukoz (FDG)’un tutulumunun düzgünlük, pürüzlülük ve düzenliliğini (yani tekstür özelliklerini) ... -
Design and multichannel electromyography system-based neural network control of a low-cost myoelectric prosthesis hand
Siddiq Ahmed, Saygin; Almusawi, Ahmed R. J.; Yilmaz, Bulent; Dogru, Nuran (Copernicus GmbH, 2021)This study introduces a new control method for electromyography (EMG) in a prosthetic hand application with a practical design of the whole system. The hand is controlled by a motor (which regulates a significant part of ... -
Detection of Epileptic Seizures with Tangent Space Mapping Features of EEG Signals
Altındiş, Fatih; Yılmaz, Bülent (Institute of Electrical and Electronics Engineers Inc., 2021)Detection of epileptic seizures from EEG signals is well-studied topic for the last couple of decades. Lately, automated signal processing and machine learning methods were developed to detect epileptic seizures. However, ... -
An FDTD-based computer simulation platform for shock wave propagation in electrohydraulic lithotripsy
Yilmaz, Bulent; Ciftci, Emre (ELSEVIER, 2013)Extracorporeal Shock Wave Lithotripsy (ESWL) is based on disintegration of the kidney stone by delivering high-energy shock waves that are created outside the body and transmitted through the skin and body tissues. ... -
Feature Extraction and Classification in A Two-State Brain-Computer Interface
Altindis, Fatih; Yilmaz, Bulent (IEEE, 2015)Brain Computer Interface (BCI) technology is used to help patients who do not have control over motor neurons such as ALS or paralyzed patients, to communicate with outer world. This work aims to classify motor imageries ... -
Improved classification of colorectal polyps on histopathological images with ensemble learning and stain normalization
Yengec-Tasdemir, Sena Busra; Aydin, Zafer; Akay, Ebru; Dogan, Serkan; Yilmaz, Bulent (ELSEVIER IRELAND, 2023)Background and Objective: Early detection of colon adenomatous polyps is critically important because correct detection of it significantly reduces the potential of developing colon cancers in the future. The key challenge ... -
Like/dislike analysis using EEG: Determination of most discriminative channels and frequencies
Asyali, Musa H.; Gungor, Evrim; Arslan, Dilek Betul; Korkmaz, Sumeyye; Yilmaz, Bulent (ELSEVIER IRELAND LTD, 2014)In this study, we have analyzed electroencephalography (EEG) signals to investigate the following issues, (i) which frequencies and EEG channels could be relatively better indicators of preference (like or dislike decisions) ... -
Liver fibrosis staging using CT image texture analysis and soft computing
Kayaalti, Omer; Aksebzeci, Bekir Hakan; Karahan, Ibrahim Okkes; Deniz, Kemal; Ozturk, Mehmet; Yilmaz, Bulent; Kara, Sadik; Asyali, Musa Hakan (ELSEVIER, 2014)Liver biopsy is considered to be the gold standard for analyzing chronic hepatitis and fibrosis; however, it is an invasive and expensive approach, which is also difficult to standardize. Medical imaging techniques such ... -
Medical infrared thermal image based fatty liver classification using machine and deep learning
Ozdil, Ahmet; Yilmaz, Bulent (TAYLOR & FRANCIS LTD, 2023)Non-alcoholic fatty liver disease (NAFLD) causes accumulation of excess fat in the liver affecting people who drink little to no alcohol. Non-alcoholic steatohepatitis (NASH) is an aggressive form of fatty liver disease ... -
Registration and Fusion of Lung Tumor PET/CT Images
Ayyildiz, Oguzhan; Yilmaz, Bulent; Karacavus, Seyhan; Kayaalti, Omer; Icer, Semra; Eset, Kubra; Kaya, Eser (IEEE, 2015)Görüntü birleştirme medikal alanda tamamlayıcı yönüyle ve teşhis ve tedavi planlama gibi uygulamalarda kullanılmasıyla dikkat çekmektedir. Bu çalışmada 8 adet küçük hücre dışı akciğer kanserli hastanın positron emisyon ... -
Sliding Window and Filterbank Utilization on Riemannian Geometry
Altindis, Fatih; Yilmaz, Bulent (Institute of Electrical and Electronics Engineers Inc., 2022)Riemannian geometry-based signal processing approaches on EEG signals provides similar decoding performance compared to state-of-the-art methods. However, Riemannian geometry framework requires predefine EEG signal ... -
Split-attention effects in multimedia learning environments: eye-tracking and EEG analysis
Mutlu-Bayraktar, Duygu; Ozel, Pinar; Altindis, Fatih; Yilmaz, Bulent (SPRINGER, 2022)This study aimed to evaluate the split-attention effect in multimedia learning environments via objective measurements as EEG and eye-tracking. Two different multimedia learning environments in a focused (integrated) and ... -
Transfer Learning for P300 Brain-Computer Interfaces by Joint Alignment of Feature Vectors
Altindis, Fatih; Banerjee, Antara; Phlypo, Ronald; Yilmaz, Bulent; Congedo, Marco (IEEE, 2023)This article presents a new transfer learning method named group learning, that jointly aligns multiple domains (many-to-many) and an extension named fast alignment that aligns any further domain to previously aligned ...