Browsing by Author "Yilmaz, Bulent"
Now showing items 1-20 of 30
-
Automated quantification of immunomagnetic beads and leukemia cells from optical microscope images
Uslu, Fatma; Icoz, Kutay); Tasdemir, Kasim; Yilmaz, Bulent (ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND, 2019)Quantification of tumor cells is crucial for early detection and monitoring the progress of cancer. Several methods have been developed for detecting tumor cells. However, automated quantification of cells in the presence ... -
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 ... -
Detection of Ulcerative Colitis From Colonoscopy Images
Kacmaz, Rukiye Nur; Yilmaz, Bulent (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)Ulcerative colitis (UC) is a disease in which inner surface of colon is inflamed. Ulcers and open scars on the colon are observed. The complaint in the flare period is the frequent bloody diarrhea. Complaints of people ... -
Detection of Variation Instances on Colonoscopy Videos using Structural Similarity Index
Kacmaz, Rukiye Nur; Yilmaz, Bulent (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)The aim of this study is to reduce the number of images extracted from the videos recorded by the specialists during the colonoscopy process for further examination, thereby enabling the specialist to deal with fewer images. ... -
Discrimination of Rest, Motor Imagery and Movement for Brain-Computer Interface Applications
Ozturk, Nedime; Yilmaz, Bulent (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)Brain-computer interface (BCI) is a system that provides a means to control prosthesis, wheelchair, or similar devices using brain waves without direct motor nervous system involvement. For this purpose, brain waves obtained ... -
Effect of Bilinear Interpolation on the Texture Analysis of Colonoscopy Images
Kacmaz, Rukiye Nur; Yilmaz, Bulent (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)Interpolation is a method that is used to obtain unknown intensities with the help of known intensities on an image. This method is frequently used in the literature to eliminate light reflection on colonoscopy images. ... -
Effect of interpolation on specular reflections in texture-based automatic colonic polyp detection
Kacmaz, Rukiye Nur; Yilmaz, Bulent; Aydin, Zafer (WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, 2020)Reflections of LED light cause unwanted noise effects called specular reflection (SR) on colonoscopic images. The aim of this study was to seek answers to the following two questions. (a) How are the texture features used ... -
Emotion Detection Using Multivariate Synchrosqueezing Transform via 2D Circumplex Model
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)Emotion detection by utilizing signal processing methods is a challenging area. An open issue in emotional modeling is to obtain an optimum feature set to use for the classification process. This study proposes an approach ... -
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 ... -
Emotional State Sensing by Using Hybrid Multivariate Empirical Mode Decomposition and Synchrosqueezing Transform
Ozel, Pinar; Akan, Aydin; Yilmaz, Bulent (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)In recent years, utilizing Hilbert-based time frequency methods in emotional state sensing research attracted attention in the brain computer interfaces. Primarily, Hilbert Transform-based empirical mode decomposition (EMD) ... -
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 -
Image-analysis based readout method for biochip: Automated quantification of immunomagnetic beads, micropads and patient leukemia cell
Uslu, Fatma; Icoz, Kutay; Tasdemir, Kasim; Dogan, Refika S.; Yilmaz, Bulent (PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2020)For diagnosing and monitoring the progress of cancer, detection and quantification of tumor cells is utmost important. Beside standard bench top instruments, several biochip-based methods have been developed for this ... -
Lung cancer subtype differentiation from positron emission tomography images
Ayyildiz, Oguzhan; Aydin, Zafer; Yilmaz, Bulent; Karacavus, Seyhan; enkaya, Kubra; Icer, Semra; Tasdemir, Arzu; Kaya, Eser (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, ATATURK BULVARI NO 221, KAVAKLIDERE, ANKARA, 00000, TURKEY, 2020)Lung cancer is one of the deadly cancer types, and almost 85% of lung cancers are nonsmall cell lung cancer (NSCLC). In the present study we investigated classification and feature selection methods for the differentiation ... -
Metabolic Imaging Based Sub-Classification of Lung Cancer
Bicakci, Mustafa; Ayyildiz, Oguzhan; Aydin, Zafer; Basturk, Alper; Karacavus, Seyhan; Yilmaz, Bulent (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA, 2020)Lung cancer is one of the deadliest cancer types whose 84% is non-small cell lung cancer (NSCLC). In this study, deep learning-based classification methods were investigated comprehensively to differentiate two subtypes ... -
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 ... -
A new tool for QT interval analysis during sleep in healthy and obstructive sleep apnea subjects: a study on women
Kaya, Kemal Alican; Yilmaz, Bulent (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, ATATURK BULVARI NO 221, KAVAKLIDERE, ANKARA, 00000, TURKEY, 2013)By monitoring the Q wave/T wave (QT) interval computed from electrocardiography (ECG) signals during sleep, it is possible to create a link between the ventricular repolarization and sleep stages. In this study, we aimed ... -
Parameter investigation of topological data analysis for EEG signals
Altindis, Fatih; Yilmaz, Bulent; Borisenok, Sergey; Icoz, Kutay (ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND, 01.01.2021)Topological data analysis (TDA) methods have become appealing in EEG signal processing, because they may help the scientists explore new features of complex and large amount of data by simplifying the process from a ...
