Search Results - "Özkan, Mehmed"

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  1. 1

    Newborn jaundice determination by reflectance spectroscopy using multiple polynomial regression, neural network, and support vector regression by Karamavuş, Yunus, Özkan, Mehmed

    Published in Biomedical signal processing and control (01-05-2019)
    “…Diffuse reflectance spectroscopy is a non-destructive method to obtain biochemical and physiological information by investigating the optical properties of…”
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    Journal Article
  2. 2

    Determination of Neural Fiber Connections Based on Data Structure Algorithm by Duru, Dilek Göksel, Ozkan, Mehmed

    “…The brain activity during perception or cognition is mostly examined by functional magnetic resonance imaging (fMRI). However, the cause of the detected…”
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    Journal Article
  3. 3

    Increasing the packing density of assays in paper-based microfluidic devices by Dabbagh, Sajjad Rahmani, Becher, Elaina, Ghaderinezhad, Fariba, Havlucu, Hayati, Ozcan, Oguzhan, Ozkan, Mehmed, Yetisen, Ali Kemal, Tasoglu, Savas

    Published in Biomicrofluidics (01-01-2021)
    “…Paper-based devices have a wide range of applications in point-of-care diagnostics, environmental analysis, and food monitoring. Paper-based devices can be…”
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    Book Review Journal Article
  4. 4

    The development of a new orthosis (neuro-orthosis) for patients with carpal tunnel syndrome: its effect on the function and strength of the hand by Uğurlu, Umit, Ozkan, Mehmed, Ozdoğan, Huri

    Published in Prosthetics and orthotics international (01-12-2008)
    “…Static wrist orthoses (SWOs) are used in the treatment of carpal tunnel syndrome (CTS) with some drawbacks. As an alternate approach to SWOs, an active…”
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    Journal Article
  5. 5

    Impact of subject’s physical properties on joint biomechanics: Hypermobility alters lower extremity biomechanics during knee-bearing activity by Kuchimov, Shavkat, Özkan, Mehmed, Apti, Adnan, Akalan, Nazif Ekin, Akel, Burcu Semin, Hollander, Karsten

    Published in Gait & posture (01-09-2023)
    “…Hypermobility is a physical specificity of the subject that refers to an increased range of motion in one or more joints beyond what is considered normal or…”
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    Journal Article
  6. 6

    GSM Base Station Electromagnetic Radiation and Oxidative Stress in Rats by Yurekli, Ali Ihsan, Ozkan, Mehmed, Kalkan, Tunaya, Saybasili, Hale, Tuncel, Handan, Atukeren, Pinar, Gumustas, Koray, Seker, Selim

    Published in Electromagnetic biology and medicine (01-01-2006)
    “…The ever increasing use of cellular phones and the increasing number of associated base stations are becoming a widespread source of nonionizing…”
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    Journal Article
  7. 7

    Fiber tracking based on unsupervised learning by Goksel Duru, Dilek, Ozkan, Mehmed

    “…The brain white matter can be mapped noninvasively by diffusion tensor magnetic resonance image analysis. An important drawback in the determination of the…”
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    Conference Proceeding
  8. 8

    Fiber Tracking: A Recursive Stack Algorithmic Approach by Duru, D.G., Ozkan, M.

    “…In diffusion tensor magnetic resonance imaging (DT-MRI), each voxel is assigned a tensor that describes local water diffusion. In this study, the eigenvectors…”
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    Conference Proceeding Journal Article
  9. 9

    Simulated Dataset for Verification & Validation of DT-MRI Analyzing Tools by Goksel, D., Ozkan, M.

    “…In diffusion tensor MRI (DT-MRI), each voxel is assigned a tensor that describes local water diffusion. In this study, a simulated DT dataset for analyzing the…”
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    Conference Proceeding Journal Article
  10. 10

    Design and optimization of a fuzzy-neural hybrid controller for an artificial muscle robotic arm using genetic algorithms by Erdemir, E, Özkan, Mehmed, Kawamura, K, Wilkes, D M, Fırat, Murat, Polat, A

    “…Humanoids are increasingly used in the service sectors around the world to work with, or assist humans. However current humanoid designs place limitations on…”
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    Conference Proceeding
  11. 11

    Utilization of MR angiography in perfusion imaging for identifying arterial input function by Buyuksarac, Bora, Ozkan, Mehmed

    Published in Magma (New York, N.Y.) (01-12-2017)
    “…Objective This research utilizes magnetic resonance angiography (MRA) to identify arterial locations during the parametric evaluation of concentration time…”
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    Journal Article
  12. 12

    SOM Based Diffusion Tensor MR Analysis by Duru, Dilek Goksel, Ozkan, Mehmed

    “…Self-organizing map (SOM) is an unsupervised learning method which is used in training neural networks. It is considered to be unsupervised because the correct…”
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    Conference Proceeding
  13. 13

    A Macro-Structural Dispersion Characteristic of Brain White Matter and Its Application to Bipolar Disorder by Demir, Ali, Ozkan, Mehmed, Ulug, Aziz M.

    “…Objective: Our goal is to find distinct characteristics of brain white matter in bipolar disorder, of which the development of diagnostic imaging measures is…”
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    Journal Article
  14. 14

    Real-Time Performance of a Tactile Neuroprosthesis on Awake Behaving Rats by Ozturk, Sevgi, Devecioglu, Ismail, Beygi, Mohammad, Atasoy, Ahmet, Mutlu, Senol, Ozkan, Mehmed, Guclu, Burak

    “…With the advancement of electrode and equipment technology, neuroprosthetics have become a promising alternative to partially compensate for the loss of…”
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    Journal Article
  15. 15

    Neural-network-based segmentation of multi-modal medical images: a comparative and prospective study by Ozkan, M., Dawant, B.M., Maciunas, R.J.

    “…This work presents an investigation of the potential of artificial neural networks for classification of registered magnetic resonance and X-ray computer…”
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    Journal Article
  16. 16

    Evaluation of the effect of arterial input function on cerebral blood flow in MR perfusion imaging by Büyüksaraç, Bora, Özkan, Mehmed

    “…Cerebral blood flow (CBF) calculation in perfusion weighted imaging starts with the selection of arterial input function (AIF). CBF indicates the initial value…”
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    Conference Proceeding
  17. 17

    Classification of ECG Arrythmia beats with Artificial Neural Networks by Zeybekoǧlu, Seçil, Özkan, Mehmed

    “…In this study, Electrocardiographic(ECG) Arrythmias were classified by using Artificial Neural Networks (ANN). During the training process of ANN, the ECG…”
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    Conference Proceeding
  18. 18

    Diffusion tensor fiber tracking based on unsupervised learning by Duru, Dilek Göksel, Özkan, Mehmed

    “…Using Hebbian learning rule and its special case Self-Organizing Map (SOM) as unsupervised learning, a solution is proposed for defining the fiber paths which…”
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    Conference Proceeding
  19. 19

    Determination of newborn jaundice level by transcutaneous bilirubin measurement by Karamavus, Yunus, Ozkan, Mehmed

    “…Diffuse reflectance spectroscopy is a method for obtaining optical properties of skin to determine the biochemical and physiological information…”
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    Conference Proceeding
  20. 20

    Modelling the Dynamics of an Anthropomorphic Index Digit During Flexion and Extension of PIP and DIP Joints by Alseed, M. Munzer, Kaplanoglu, Erkan, Ozkan, Mehmed

    “…This model is an attempt to optimize the design and control of anthropomorphic hands, and highlight some aspects that should be considered in that context…”
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    Conference Proceeding