Elektrik - Elektronik Mühendisliği Bölümü Koleksiyonu by Institution Author "Yilmaz, Bulent"
Now showing items 1-20 of 21
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Automatic body part and pose detection in medical infrared thermal images
Ozdil, Ahmet; Yilmaz, Bulent (TAYLOR & FRANCIS LTD2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND, 2021)Automatisation and standardisation of the diagnosis process in medical infrared thermal imaging (MITI) is crucial because the number of medical experts in this area is highly limited.The current studies generally need ... -
Comparison of deep learning and conventional machine learning methods for classification of colon polyp types
Dogan, Refika Sultan; Yilmaz, Bulent (SCIENDOBOGUMILA ZUGA 32A, WARSAW, MAZOVIA, POLAND, 2021)Determination of polyp types requires tissue biopsy during colonoscopy and then histopathological examination of the microscopic images which tremendously time-consuming and costly. The first aim of this study was to design ... -
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, ... -
Emotion Elicitation Analysis in Multi-Channel EEG Signals Using Multivariate Empirical Mode Decomposition and Discrete Wavelet Transform
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)In recent years, wavelet-based, Fourier-based and Hilbert-based time-frequency methods attracted attention in emotion state classification studies in human machine interaction. In particular, the Hilbert-based Empirical ... -
Emotion Recognition Classification in EEG Signals Using Multivariate Synchrosqueezing Transform
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)Electrophysiological data processing can take place both in time and in frequency domains as well as in the joint time-frequency domain. Short Time Fourier Transform and Wavelet Transform are commonly used time-frequency ... -
Emotional State Analysis from EEG signals via Noise-Assisted Multivariate Empirical Mode Decomposition Method
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)Emotional state analysis is an interdisciplinary arena because of the many parameters that encompass the complex neural structure and electrical signals of the brain and in terms of emotional state differences. In recent ... -
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 ... -
Fusion and Analysis of PET And CT Images of Patients with Non-Small Cell Lung Cancer
Ayyildiz, O.; Yilmaz, Bulent; Karacavus, S.; Kayaalti, O.; Eset, K.; Gazeloglu, C.; Icer, S.; Kaya, E. (SPRINGERONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES, 2016)Fusion and Analysis of PET And CT Images of Patients with Non-Small Cell Lung Cancer -
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 ... -
Multivariate Pseudo Wigner Ville Distribution based Emotion Detection from Electrical Activity of Brain
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (IEEE 345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)Recently, there has been a rapid development in multivariate signal analysis to determine joint oscillations for multiple data channels. The emotion elicitation in an electroencephalogram (EEG) is a novel area to evaluate ... -
Prognostic significance of the texture features determined using three dimensional 18F-FDG PET images: new potential biomarkers
Karacavus, Seyhan; Yilmaz, Bulent; Kayaalti, Omer; Tasdemir, Arzu; Kaya, Eser; Icer, Semra; Ayyildiz, Oguzhan; Eset, Kubra; Vardareli, Erkan; Asyali, Musa (SOC NUCLEAR MEDICINE INC1850 SAMUEL MORSE DR, RESTON, VA 20190-5316, 2016)Prognostic significance of the texture features determined using three dimensional 18F-FDG PET images: new potential biomarkers -
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 ... -
Super resolution convolutional neural network based pre-processing for automatic polyp detection in colonoscopy images
Tas, Merve; Yilmaz, Bulent (PERGAMON-ELSEVIER SCIENCE LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2021)Abstract Colonoscopy is the most common methodology used to detect polyps on the colon surface. Increasing the image resolution has the potential to improve the automatic colonoscopy based diagnosis and polyp detection ...
