
Onur OsmanIstanbul Arel University · Electrical & Electronics Eng.
Onur Osman
Ph.D.
About
89
Publications
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716
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Introduction
Additional affiliations
January 2009 - present
January 2001 - December 2008
Education
September 1998 - February 2004
September 1994 - February 1998
September 1990 - June 1994
Publications
Publications (89)
Background:
Computer-aided detection in the setting of trauma presents unique challenges due to variations in shape and attenuation of the injured organs based on the timing and severity of the injury. We developed and validated an automated computer-aided diagnosis algorithm to detect splenic lesions such as laceration, contusion, subcapsular hem...
In this study, a novel computer-aided detection (CAD) method is introduced to detect pulmonary embolism (PE) in computed tomography angiography (CTA) images. This method consists of lung vessel segmentation, PE candidate detection, feature extraction, feature selection and classification of PE. PE candidates are determined in lung vessel tree. Then...
PurposeComputer-aided detection (CAD) systems are developed to help radiologists detect colonic polyps over CT scans. It is possible to reduce the detection time and increase the detection accuracy rates by using CAD systems. In this paper, we aimed to develop a fully integrated CAD system for automated detection of polyps that yields a high polyp...
The aim of this study is to investigate the impact of luminance level on the emotional evaluation from electroencephalography (EEG) records. EEG recordings obtained from 31 healty partipicants were used in this study. Featires were obtained from EEG recordings using short time fourier transform (STFT) and Hjorth descriptors. According to the perfor...
In this study, similarity rates of the liver images are determined using 3D geometric transformation methods and numerical comparisons are made. Three geometric transformation methods scaling, rotating, and translating are consecutively applied to 10 intact liver images which are drawn by the radiologists. Atlases of liver images are generated, Dic...
In this work, we developed a novel method to diagnose traumatized kidney in the presence of laceration, contusion and active bleeding due to abdominal trauma. Our CAD system performs 94,44% of sensitivity at 0.13 false positives per dataset.
Bowing fractures are incomplete fractures of tubular long bones, often observed in pediatric patients, where plain radiographic film is the non-invasive imaging modality of choice in routine radiological workflow. Due to weak association between bent bone and distinct cortex disruption, bowing fractures may not be diagnosed properly while reading p...
In this paper, we introduce a new modelling technique called Adaptive Exhaustive Search Algorithm (AESA) to distinguish the density and to compute the accurate location in geophysical section respect to its gravity anomali. Proposed algorithm contains two step; the first one is Approximate Search Algorithm (ASA) which allows us to find the approxim...
Motor unit action potential (MUAP), which consists of individual muscle fiber action potentials (MFAPs), represents the electrical activity of the motor unit. The values of the MUAP features are changed by denervation and reinnervation in neurogenic involvement as well as muscle fiber loss with increased diameter variability in myopathic diseases....
The aim of this study is to observe the impact on the emotional evaluation of luminance, which is a perceptual feature of visual stimuli from electroencefelography (EEG) data recorded. EEG recordings obtained from 13 healthy individuals in the 25-45 age range were used in the study. Features obtained analysis of these records with Short Time Fourie...
In this study, variable active antenna spatial modulation (VASM) technique, which allows the selection of any number of antennas (but not a constant number of active antennas) to transmit a symbol at the same signalling interval, is presented. In the first step of the development of VASM, antenna selection method is determined to use the minimum nu...
Using communication technologies, faster and better diagnosis and treatment methods of medical care are improved. Faster communications between doctors and patients are provided due to the improving technologies named telemedicine. In this study, we developed a novel method to diagnose traumatized spleen in the presence of laceration, contusion, ac...
There are more than one motor unit activities recorded simultaneously during scanning EMG recordings. It is not possible to determine the phase duration correctly by inspecting only one sweep. The other motor unit activities, which are out of interest, should be filtered for this purpose. In this study, a new method is developed by revealing the ac...
Our aim is to demonstrate a new semi-automated method for measuring periorgan hematoma due to abdominal organ trauma. The new methods' performance was evaluated on randomly selected 31 CT scans from 31 patients (10 females, 21 males, median age:39,5) with traumatic intraabdominal periorgan hematoma. Twenty seven patients had perisplenic, eleven had...
A new method is developed about segmentation in patients with liver trauma due to traffic accidents and military injuries. It is seemed that normal or liver surger cases are used in most of the studies in the literature. A new method need to develop for injured liver segmentation since it knows that the formal defect in the body and density differe...
To develop a novel automated method for segmentation of the injured spleen using morphological properties following abdominal trauma. Average attenuation of a normal spleen in computed tomography (CT) does not vary significantly between subjects. However, in the case of solid organ injury, the shape and attenuation of the spleen on CT may vary depe...
In scanning EMG recordings there are more than one motor unit activity which is recorded by concentric needle electrode. Especially for determining features of a motor unit action potential (MUAP) such as phase duration and number of peaks easily, first the other motor unit activities must be discarded. In this study a new method is proposed to det...
OBJECTIVE: In this study,120 patients diagnosed with clinical multiple sclerosis (MS) of relapsing remitting type (RRMS), secondary progressive type (SPMS) and primary progressive type (PPMS) were examined, as well as 19 healthy subjects. All subjects were between the ages of 20 and 55. Disability levels of MS symptoms were determined using Expande...
In this paper, a new modeling technique is introduced using Genetic Algorithm (GA). In this method, Genetic algorithm (GA) is modified and used as an optimization method in geophysics applications. The problem at hand is to find the best model for the cross-section, which its anomalies fit the observed ones. Optimization methods are generally used...
In space shift keying (SSK), all information bits are transmitted by antenna indices rather than transmitting symbols. To obtain high spectral efficiency, exponentially increasing number of antennas is used, which is generally not practical. Less number of antennas can only be possible by using more than one active antenna, such as generalized SSK,...
In this study a new dataset are prepared for neuromuscular diseases using scanning EMG method and four new features are extracted. These features are maximum amplitude, phase duration at the maximum amplitude, maximum amplitude times phase duration, and number of peaks. By using statistical values such as mean and variance, number of features has i...
Objective: The aim of this study is to extract new features supporting diagnosis of neuromuscular diseases.
Method: Data groups being constituted by using EMG Simulator v3.6 consists of 5 normal, 5 neurogenic and 5 myopathic cases. Data have been acquired through scanning EMG method using concentric needle electrode. Four new features such as maxi...
Introduction: The aim of this study is the estimation of the muscle fiber density (FD) from the Motor Unit Action Potentials (MUAP) to form a method for monitoring the progress of neuromuscular diseases.
Methods: Data groups representing motor units of neurogenic (n=5), myopathic (n=5) and healthy cases (n=5) were created via EMG Simulator v3.6. M...
In this paper, we propose a new computer-aided detection (CAD) - based method to detect pulmonary embolism (PE) in computed tomography angiography images (CTAI). Since lung vessel segmentation is the main objective to provide high sensitivity in PE detection, this method performs accurate lung vessel segmentation. To concatenate clogged vessels due...
Pulmonary Embolism (PE), one of the circulatory system problems, is the clinical result at the end of that the lung artery or one or a few branches of them are bunged up by clot of blood. Besides it is a hard disease to diagnose, early diagnosis and treatment of it can save lives. In this study, a new CAD system is proposed for detection of PE in C...
In this paper Neural Networks (NN) are drawn in data mining for classification and prediction. Back propagation is used as a learning algorithm. Data mining is one of the hottest current technologies of the information age. As computer systems getting cheaper and its power increases, the amount of collected and processed data available increases. D...
The hyperthyroid disease treatment consists in swallowing iodine 131. The quantity of these radio isotope results in an evaluation of the thyroid volume from a single scintigraphic image. In medical routine, the volume is calculated from a manual selection of an isocontour defining the boundary of the thyroid. We propose in this paper an automatic...
In this paper, classification of Juvenile Myoclonic Epilepsy (JME) patients and healthy volunteers included into Normal Control (NC) groups was established using Feed-Forward Neural Networks (NN), Support Vector Machines (SVM), Decision Trees (DT), and Naïve Bayes (NB) methods by utilizing the data obtained through the scanning EMG method used in a...
In this study, we present a new and fast algorithm for lung segmentation using CTA images. This process is quite important especially at lung vessel segmentation, detection of pulmonary emboly, finding nodules or segmentation of airways. Applied method has been carried out at four steps. At first step, images have been applied optimal threshold. At...
In this paper, a Computer Aided Detection (CAD) system based on three-dimensional (3D) feature extraction is introduced to detect lung nodules. First, eight directional search was applied in order to extract regions of interests (ROIs). Then, 3D feature extraction was performed which includes 3D connected component labeling, straightness calculatio...
In this study, an automatic three-dimensional computer-aided detection system for colonic polyps was developed. Computer-aided detection for computed tomography colonography aims at facilitating the detection of colonic polyps. First, the colon regions of whole computed tomography images were carefully segmented to reduce computational burden and p...
In this paper, we introduced a computer aided detection (CAD) system to facilitate colonic polyp detection in computer tomography (CT) data using cellular neural network, genetic algorithm and three dimensional (3D) template matching with fuzzy rule based tresholding. The CAD system extracts colon region from CT images using cellular neural network...
In this paper, we investigate an approach for classification of mammographic masses as benign or malign. This study relies on a combination of Support Vector Machine (SVM) and wavelet-based subband image decomposition. Decision making was performed in two stages as feature extraction by computing the wavelet coefficients and classification using th...
The design of multilevel turbo codes using M-PSK is optimized to achieve a low bit error rate (BER). Unequal error protection is employed via group set partitioning in multi-stage decoding to minimize the error propagation and BER. Simulation results are performed under Gaussian and Rayleigh fading channels to depict the superiority of the new sche...
In this paper, we introduced a novel Computer Aided Detection (CAD) system for colonic polyp detection in CT data. The CAD system extracts colon region from CT images using cellular neural network (CNN) which its parameters of A,B and I templates are optimized by genetic algorithm in order to improve segmentation performance. Region of interest (RO...
The purpose of this study was to develop a new method for automated lung nodule detection in serial section CT images with using the characteristics of the 3D appearance of the nodules that distinguish themselves from the vessels.
Lung nodules were detected in four steps. First, to reduce the number of region of interests (ROIs) and the computation...
Cellular neural networks (CNNs) are massively parallel cellular structures with learning abilities. They can be used to realize complex image processing applications efficiently and in almost real time. In this preliminary study, we propose a novel, robust, and fully automated system based on CNNs to facilitate lesion localization in contrast-enhan...
A novel fully automated system is introduced to facilitate lesion detection in dynamic contrast-enhanced, magnetic resonance mammography (DCE-MRM). The system extracts breast regions from pre-contrast images using a cellular neural network, generates normalized maximum intensity-time ratio (nMITR) maps and performs 3D template matching with three l...
A new binary systematic linear block code construction technique, called as Systematic Distance-4 (SD-4) codes that generates all the optimal size Hamming distance-4 codes, is recently proposed. In this paper, we evaluate the error performance of some of the SD-4 codes to measure the coding gain of the codes over Rician and Rayleigh fading channels...
A novel type of turbo coded modulation scheme, called multilevel turbo coded-continuous phase frequency shift keying (MLTC-CPFSK), is designed to improve the overall bit error rate (BER) and bandwidth efficiency. Then, this scheme is combined with a new double decision feedback equalizer (DDFE) to remove the interference and to enhance BER performa...
In this communication, Artificial Neural Network (ANN) is applied to discriminate osteoporotic fracture and control cases in a group of 304 patients. ANN is one of the popular methods in optimization of complex engineering problems compared to the classical statistical methods. In our study group, we consider some parameters as inputs: three bone d...
In this paper, we introduce a new method called Forced Neural Network (FNN) to find the parameters of the object in geophysical
section respect to gravity anomaly assuming the prismatic model. The aim of the geological modeling is to find the shape and
location of underground structure, which cause the anomalies, in 2D cross section. At the first s...
In this paper, to utilize the third dimension of Computed Tomography, regions of interest (ROI) slices were combined to form 3D ROI image and a 3D template was determined to find the structures with similar properties of nodules. Convolution of 3D ROI image with the proposed template strengthens the shapes similar to the template and weakens the ot...
Bit error performance of turbo trellis coded/continuous phase modulation (TTC/CPM) is investigated for multiple input multiple output (MIMO) channels. The performance of TTC/CPM for 16-continuous phase frequency shift keying (CPFSK) over AWGN and Rician channels (for Rician channel parameter K=10 and 4 dB) is given for 1Tx-1Rx, 2Tx-1Rx and 2Tx-2Rx...
In this paper, a blind maximum-likelihood channel-parameter estimation algorithm is developed for turbo trellis coded modulation
(TTCM) in orthogonal frequency division multiplexing (OFDM) systems. We modify the Baum-Welch (BW) parameter estimation algorithm
to provide a computationally efficient solution for error performance. The bit-error perfo...
In this paper, multilevel turbo coded-continuous phase frequency shift keying (MLTC-CPFSK) is introduced and its bit error performance in multiple input multiple output (MIMO) fading channels are investigated considering a blind maximum likelihood channel estimation. Multilevel turbo coded signals with continuous phase modulation (CPM) provides low...
In this paper, an automatic colon segmentation method for Computed Tomography (CT) colonography is presented. Colon segmentation is considered in order to prevent the time consumption while searching polyps out of the colon region and reduce radiologists' interpretation time. The proposed method is the combination of pre-processing and Cellular Neu...
In order to improve unequal error protection and compression ratio of 2-D colored images over wireless environment, we propose two new schemes denoted as "Adaptive Wiener-Turbo System (AW-TS) and Adaptive Wiener-Turbo Systems with JPEG & Bit Plane Compressions (AW-TSwJBC)". In AW-TS, there is a feedback link between Wiener filtering and Turbo decod...
This paper presents a new approach for interpretation of residual gravity anomaly profiles, assuming horizontal cylinders as source. The new method, called Forced Neural Network (FNN), is introduced to determine the underground structure parameters which cause the anomalies. New technologies are improved to detect the borders of geological bodies i...
In this paper, in order to improve error performance, we introduce a new type of turbo codes, called ‘multilevel-turbo codes (ML-TC)’ and we evaluate their performance over wide-sense stationary uncorrelated scattering (WSSUS) multipath channels. The basic idea of ML-TC scheme is to partition a signal set into several levels and to encode each leve...
A new type of turbo codes called multilevel turbo codes (ML-TC) which employ a new partitioning technique (group partitioning) in order to improve channel error performance. The underlying basis for multilevel coding is partitioning a signal set into several levels and encoding each level separately through the respective layer of the encoder. Init...
Modern error control coding methods based on turbo coding have essentially solved the problem of reliable data communications over noisy channels. Contemporary Coding Techniques and Applications for Mobile Communications provides a clear, comprehensive, and practical grounding on the subject matter, examining the fundamentals, theory, and applicati...
In this paper, Genetic Algorithm (GA) is proposed as optimization software to find the shortest path of various computer networks. It deals with different method concerning the placement routers, routes the packages. The genetic based algorithm defines an optimum way when a computer network system is constructed. Genetic Algorithm gives better resu...
The purpose of this study was to develop a new method for automated mass detection in digital mammographic images using templates.
Masses were detected using a two steps process. First, the pixels in the mammogram images were scanned in 8 directions, and regions of interest (ROI) were identified using various thresholds. Then, a mass template was u...
In this research, channel estimation and equalization of turbo coded signals are delved over frequency and non-frequency selective fading channels. An innovative turbo equalization structure is depicted jointly with the iterative decoding process, which is based on performing channel equalization via double decision feedback equalizer (DDFE) design...
In this paper, a blind maximum-likelihood channel estimation algorithm is developed for turbo trellis-coded/continuous-phase modulation (TTC/CPM) signals propagating through additive white Gaussian noise (AWGN) and Rician fading environments. We present CPM for TTC signals, since it provides low spectral occupancy and is suitable for power- and ban...
This paper presents the performance of Transmit Diversity-Turbo Trellis Coded Modulation (TD-TTCM) over Wide Sense Stationary Uncorrelated Scattering (WSSUS), Multiple-Input-Multiple-Output (MIMO) channels. To achieve high bandwidth efficiency and/or high power efficiency, in TD-TTCM, binary input sequence is passed through a turbo trellis encoder,...
In this paper, to improve bit error performance and bandwidth efficiency, we combine space-time block codes (STBC), turbo trellis codes and continuous phase modulation and denote space-time-turbo trellis coded/continuous phase modulation (ST-TTC/CPM). For high data transmission over wireless fading channels, STBC provide the maximal possible divers...
In this paper, the performance of space time-turbo trellis coded modulation (ST-TTCM) is evaluated over Rician and Rayleigh fading channels with imperfect phase. We modify Baum–Welch (BW) algorithm to estimate the fading and phase jitter parameters for multi-antenna configurations. Thus, we assume that the channel parameters change slower than carr...
In this paper, the performance of turbo coded signals are investigated over a new channel model, denoted as wide-sense stationary uncorrelated scattering (WSSUS) multipath channel. Digital transmission through WSSUS channel model with additive white Gaussian noise (AWGN) introduced at the receiver. For observing the performance of the turbo decoder...
In this paper, the performance of Space Time-Turbo Trellis Coded Modulation (ST-TTCM) is evaluated over Rician and Rayleigh fading channels with imperfect phase. We use Baum-Welch (BW) algorithm to estimate the fading and phase jitter parameters. Thus we assume that the channel parameters change slower than carrier frequency. We know that at high d...
A new class of error control coding with binary parallel concatenated recursive systematic convolutional codes-turbo codes- and its an application over SAR (Synthetic Aperture Radar) image transmitting is presented in this paper. The remarkable coding gains achieved by turbo code have a great influence in various areas of digital communication, inc...
In this paper, we applied Continuous Phase Frequency Shift Keying (CPFSK) to Trellis Coded Quantization/Modulation (TCQ/TCM) and thus we called Trellis Coded Quantization/ Continuous Phase Modulation (TCQ/TCCPM) for this new sys- tem. In this new scheme we use continuous phase frequency shift keying signal set instead of phase shift keying signal s...
In this paper, the performance of turbo coded signals are investigated over Wireless Local Loop (WLL) environment with no side information on the phase noise and and no channel state information (CSI). We assume that the transmitter and the receiver are point-to-point microwave links, separated by WLL which is modelled as 1+Dn/Partial Response Micr...
In this paper, the performance of turbo coded signals are
investigated over a new channel model, denoted as
1±D<sup>n</sup>/Partial Response Fading Channels (PRFC) with
imperfect phase reference. The combined effects of the 1±D<sup>n
</sup>/PRFC and nonideal coherent receiver on the phase of the received
amplitude and of a noisy carrier reference a...
In this paper, we will use the Space Time Block codes for antenna diversity, and the performance of Space-Time – Turbo Trellis Coded Modulation (ST-TTCM) is investigated over Nakagami channels. For high data transmission over wireless fading channels, Space-Time Block Codes provide the maximal possible diversity advantage for multiple decoding algo...
In this paper, the performance of genetic algorithm (GA) is presented to estimate the blind channel parameters . 8-PSK signals are considered as modulation scheme. Channel is assumed as AWGN and has Rician probability distribution. Furthermore, channel is slow fading channel and channel parameters are assumed to be constant during the transmission...
+ 1 Kismi Yanitli Sönümlemeli kanallarda hata başarimi incelenmiştir. Burada D ; bir modülasyon araliği T 'ye karşilik gelen birim gecikme operatörüdür. Yani kanala gönderilen işaret bir önceki modülasyon aninda gönderilen işaret ile toplanarak iki işaret bilgisini içerir. Kanalin bu etkisini ortadan kaldirmak için işaretler antenlerden gönderilmed...