Search Results - "Ozekes, Serhat"

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  1. 1

    A Novel LSB Steganography Technique Using Image Segmentation by Demircan, Yasir Yakup, Ozekes, Serhat

    “…Steganography is a process to hide data inside a cover file mostly used in media files like image, video, and audio files. Least significant bit (LSB)…”
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    Journal Article
  2. 2

    Improving cross-subject classification performance of motor imagery signals: a data augmentation-focused deep learning framework by Ozelbas, Enes, Tülay, Emine Elif, Ozekes, Serhat

    Published in Machine learning: science and technology (01-03-2024)
    “…Abstract Motor Imagery Brain-Computer Interfaces (MI-BCIs) have gained a lot of attention in recent years thanks to their potential to enhance rehabilitation…”
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    Journal Article
  3. 3

    Computerized Lung Nodule Detection Using 3D Feature Extraction and Learning Based Algorithms by Ozekes, Serhat, Osman, Onur

    Published in Journal of medical systems (01-04-2010)
    “…In this paper, a Computer Aided Detection (CAD) system based on three-dimensional (3D) feature extraction is introduced to detect lung nodules. First, eight…”
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    Journal Article
  4. 4

    Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance by Erguzel, Turker Tekin, Ozekes, Serhat, Gultekin, Selahattin, Tarhan, Nevzat, Hizli Sayar, Gokben, Bayram, Ali

    Published in Psychiatry investigation (01-01-2015)
    “…The combination of repetitive transcranial magnetic stimulation (rTMS), a non-pharmacological form of therapy for treating major depressive disorder (MDD), and…”
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    Journal Article
  5. 5

    Nodule detection in a lung region that's segmented with using genetic cellular neural networks and 3D template matching with fuzzy rule based thresholding by Ozekes, Serhat, Osman, Onur, Ucan, Osman N

    Published in Korean journal of radiology (01-01-2008)
    “…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…”
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    Journal Article
  6. 6

    Ant Colony Optimization Based Feature Selection Method for QEEG Data Classification by Erguzel, Turker Tekin, Ozekes, Serhat, Gultekin, Selahattin, Tarhan, Nevzat

    Published in Psychiatry investigation (01-07-2014)
    “…Many applications such as biomedical signals require selecting a subset of the input features in order to represent the whole set of features. A feature…”
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    Journal Article
  7. 7

    Mammographic mass detection using a mass template by Ozekes, Serhat, Osman, Onur, Camurcu, A Yilmaz

    Published in Korean journal of radiology (01-10-2005)
    “…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…”
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    Journal Article
  8. 8

    Makine Öğrenmesi Yöntemleriyle Anormal Ağ Trafiğinin Tespit Edilmesi by ÖZEKES, Serhat, KARAKOÇ, Elif Nur

    “…Bilgisayar ağlarının ve geliştirilen uygulamaların büyümesi ile saldırıların oluşturacağı hasarın belirgin olarak artması beklenmektedir. Saldırı Tespit…”
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    Journal Article
  9. 9

    Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based Approach by Erguzel, Turker Tekin, Ozekes, Serhat, Tan, Oguz, Gultekin, Selahattin

    Published in Clinical EEG and neuroscience (01-10-2015)
    “…Feature selection is an important step in many pattern recognition systems aiming to overcome the so-called curse of dimensionality. In this study, an…”
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    Journal Article
  10. 10

    Detecting Malicious DNS over HTTPs (DoH) Connections via Machine Learning Techniques by HARB, MHD RAJA ABOU, Ozekes, Serhat

    Published in Maǧallaẗ al-abḥath al-handasiyyaẗ (23-12-2021)
    “…DoH is a modern protocol used as an alternative to the existing DNS protocol, which provides confidentiality and integrity to DNS functions by using protected…”
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    Journal Article
  11. 11

    Harmonic analysis of steady-state visual evoked potentials in brain computer interfaces by Çetin, Volkan, Ozekes, Serhat, Varol, Hüseyin Selçuk

    Published in Biomedical signal processing and control (01-07-2020)
    “…•The effects of SSVEP harmonics on classification performance of BCI are investigated.•Classification with the second harmonic based features gives the best…”
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    Journal Article
  12. 12

    A hybrid artificial intelligence method to classify trichotillomania and obsessive compulsive disorder by Erguzel, Turker Tekin, Ozekes, Serhat, Sayar, Gokben Hizli, Tan, Oguz, Tarhan, Nevzat

    Published in Neurocomputing (Amsterdam) (05-08-2015)
    “…Classification of psychiatric disorders is becoming one of the major focuses of research using artificial intelligence approach. The combination of feature…”
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    Journal Article
  13. 13

    Analysis of Brain Functional Changes in High-Frequency Repetitive Transcranial Magnetic Stimulation in Treatment-Resistant Depression by Ozekes, Serhat, Erguzel, Turker, Sayar, Gokben Hizli, Tarhan, Nevzat

    Published in Clinical EEG and neuroscience (01-10-2014)
    “…Repetitive transcranial magnetic stimulation (rTMS) is a treatment procedure that uses magnetic fields to stimulate nerve cells in the brain, and is associated…”
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    Journal Article
  14. 14

    Classification of Juvenile Myoclonic Epilepsy Data Acquired Through Scanning Electromyography with Machine Learning Algorithms by Goker, Imran, Osman, Onur, Ozekes, Serhat, Baslo, M. Baris, Ertas, Mustafa, Ulgen, Yekta

    Published in Journal of medical systems (01-10-2012)
    “…In this paper, classification of Juvenile Myoclonic Epilepsy (JME) patients and healthy volunteers included into Normal Control (NC) groups was established…”
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    Journal Article
  15. 15

    Lung nodule diagnosis using 3D template matching by Osman, Onur, Ozekes, Serhat, Ucan, Osman N

    Published in Computers in biology and medicine (01-08-2007)
    “…Abstract 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…”
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    Journal Article
  16. 16

    DLSB - Uzaklaştırılmış en önemsiz bit steganografi by BAYSAN, Burak, ÖZEKES, Serhat

    “…Bugün halen 24-bit, 8-bit renkli ve gri-ölçekli imgeler içerisinde mesaj gizleyen çok sayıda kurumsal, ticari ve kişisel steganografi aracında LSB (Least…”
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    Journal Article
  17. 17

    Classification of major depressive disorder subjects using Pre-rTMS electroencephalography data with support vector machine approach by Erguzel, Turker, Ozekes, Serhat, Bayram, Ali, Tarhan, Nevzat

    Published in 2014 Science and Information Conference (01-08-2014)
    “…The combination of repetitive transcranial magnetic stimulation (rTMS) and electroencephalogram (EEG) is a valuable tool for investigating the functional…”
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    Conference Proceeding Journal Article
  18. 18

    3D colonic polyp detection in CT images using template matching by ÖZEKES, Serhat

    “…In this paper we present a computer aided detection (CAD) system for colonic polyp detection in computed tomography (CT) images. Here, the segmentation of the…”
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    Journal Article
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    Tıbbi Görüntülemede Bilgisayar Destekli Tespit by Özekes, Serhat

    Published 01-01-2006
    “…Bilgisayar Destekli Tespit (BDT) yazılımları, ileri örüntü tanıma ve görüntü işleme yöntemlerini kullanarak radyoloji uzmanlarına medikal görüntülerdeki…”
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    Dissertation