U. Çevik

U. Çevik
Cukurova University | CU · Department of Electrical and Electronics Engineering

PhD

About

28
Publications
11,900
Reads
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117
Citations
Citations since 2016
18 Research Items
106 Citations
201620172018201920202021202205101520253035
201620172018201920202021202205101520253035
201620172018201920202021202205101520253035
201620172018201920202021202205101520253035
Additional affiliations
January 2016 - present
Cukurova University
Position
  • Professor (Full)
April 2010 - January 2016
Cukurova University
Position
  • Professor (Associate)
October 2002 - April 2010
Cukurova University
Position
  • Professor (Assistant)

Publications

Publications (28)
Article
Full-text available
Breast cancer and breast imaging diagnostic procedures are typically carried out using a variety of imaging modalities, including mammography, MRI, and ultrasound. However, ultrasound and mammography have limitations and MRI is recognized as better than other procedures. Recent computational approaches, such as radiomics, applied to image analysis...
Article
Full-text available
Brain tumors have been one of the most common life-threatening diseases for all mankind. There have been huge efforts dedicated to the development of medical imaging techniques and radiomics to diagnose tumor patients quickly and efficiently. One of the main aims is to ensure that preoperative overall survival time (OS) prediction is accurate. Rece...
Article
Full-text available
Air pollution caused by ozone is a problem which threaten human health. Therefore, prediction of O3 concentration is important. In this work, O3 concentration level for Adana, Turkey is predicted with support vector regression (SVR), multi-layer perceptron (MLP), gradient boosting decision trees (GBDT), K nearest neighbors (KNN), elastic net machin...
Conference Paper
Full-text available
We propose a hybrid approach of multi-view convolutional neural networks with Multi-Layer Perceptron to generate an automatic medical CT report and evaluation of the severity stage of Tuberculosis patients, trained and evaluated on 335 chest 3D CT images and available metadata provided by Im-ageCLEF2019 organizers for the participants of tuberculos...
Article
Full-text available
This paper is on detecting brain tumors using MRI images, and obtaining a 3D model of the detected tumor. With the developed software, image segmentation algorithms were applied to MRI images to separate tumor from healthy brain tissues. In the development phase, various image segmentation algorithms were tried, and high success rates were aimed. A...
Article
Full-text available
In this study, a new and rapid hidden resource decomposition method has been proposed to determine noisy pixels by adopting the extreme learning machines (ELM) method. The goal of this method is not only to determine noisy pixels, but also to protect critical structural information that can be used for disease diagnosis. In order to facilitate the...
Conference Paper
Devices controlled with voice commands have gained popularity over the last decade. To recognize an utterance, they usually require an internet connection, or use commercial programming libraries. Therefore, their flexibility is low, and algorithm update opportunities are limited. In this study, a speaker independent isolated word recognition algor...
Conference Paper
In this paper, noise in the images obtained using medical imaging techniques to facilitate the diagnosis and treatment of disease in medical denoising techniques were investigated. The investigations were carried out on medical imaging studies, computerized tomography and magnetic resonance imaging, and denoising studies on 2D and 3D images. 2D and...
Article
Full-text available
Robustness against background noise is a major research area for speech-related applications such as speech recognition and speaker recognition. One of the many solutions for this problem is to detect speech-dominant regions by using a voice activity detector (VAD). In this paper, a second-order polynomial regression-based algorithm is proposed wit...
Article
Medical images are visualized by computer and processed to obtain larger, more organized, and three-dimensional (3D) images. Thus, significant images are provided. The processed data facilitate diagnosis and treatment in the medical fields. The 3D surface models of related areas are formed by using volumetric data obtained by employing medical imag...
Article
Speech is a signal that includes speaker’s emotion, characteristic specification, phonemeinformation etc. Various methods have been proposed for speaker recognition by extracting specifications of a given utterance. Among them, short-term cepstral features are used excessively in speech, and speaker recognition areas because of their low complexity...
Article
Full-text available
Conventional speaker recognition systems use the Universal Background Model (UBM) as an imposter for all speakers. In this paper, speaker models are clustered to obtain better imposter model represen- tations for speaker verification purpose. First, a UBM is trained, and speaker models are adapted from the UBM. Then, the k-means algorithm with the...
Article
Full-text available
Displaying useful and meaningful information from 3D data is known as volume rendering. Ray casting is one of the most frequently used direct volume rendering methods. It consists of data preparation, sampling, classification, compositing, and shading steps. Normal values are needed for efficient shading. However, 3D volumetric data are discrete an...
Article
Three-dimensional volumetric data is discrete by nature. It does not preserve continuous surface. Therefore, to render surfaces realistically, the normal vectors must be predicted before processing the image. During the rendering, if the normals are averaged directly, then the sharp edges are smoothed out as well. In this paper, we show how to avoi...
Conference Paper
Full-text available
In this paper, data having medical file extensions were passed through various image processing stages, and boundary determination operations were performed. We aimed to obtain three-dimensional (3D) images after transferring the two-dimensional (2D) CT slices, obtained from the existing medical imaging devices, and to provide a mesh structure betw...
Conference Paper
Minimally Invasive Surgery (MIS) with Laparoscopic instruments (LI) has many advantages over traditional procedures, and thus training of laparoscopic instruments via computer simulations has become important. In this study, a method is proposed for 3d pose estimation. For the proposed scheme, a computer vision based training simulator which used a...
Article
Minimally Invasive Surgery (MIS) has many advantages over traditional procedures and thus training with MIS tools via computer simulations has received much attention. These tools are generally grouped into two major categories: Physical training-boxes, and Computer vision/Virtual Reality (VR) tools. In this study, a computer vision based simulator...
Conference Paper
Computer Graphics (CG) is the art of rendering, and visualizing images on the computer screens. In three-dimensional (3D) CG, a scene is first modeled geometrically, typically using triangles, and the computer is then used to calculate what the scene will look like from a specific view point at a particular instant. In CG, one of the major goals is...
Article
The methods for visualizing sampled spatial scientific data are known as volume rendering, where images are generated by computing 2D projections of 3D volume data. Since all the discrete data cells participate in the generation of each image, rendering time grows linearly with the resolution and complexity of the dataset. Empty cells in the data,...
Article
The generation of 3D solid objects, and more generally solid geometric modelling, is very important in Computer Aided Design (CAD). This paper presents a simple but effective algorithm for automated display of perspective views of Constructive Solid Geometry (CSG) scene models. This algorithm can be implemented as a module in such a way that it is...
Conference Paper
This paper presents the implementation of a microcontroller-based perspective view module to be integrated, without any modification, to the pixel-based Z-buffer constructive solid geometry (CSG) renderers.
Article
This paper presents a new approach for the voxelization of volumetric scene graphs. The algorithm generates slices of each primitive intended to be voxelized using an FPGA based pixel processor. The Blist representation is used for the volume scene tree which reduces storage requirement for each voxel to the log(H+1) bits. The most important advant...
Article
In this paper, the design and implementation of a high-speed “CSG renderer” for displaying convex and concave objects and its performance analysis are presented. The renderer comprises a binary tree-structured depth generator that produces the depth values of a plane at each pixel on the display window simultaneously, and pipelined pixel processors...
Article
Interactive animated computer graphics provides a versatile, and powerful facility in many developing computer applications. CAD systems, flight simulators, and virtual reality games are among the more common examples of its application. The implementation of a high-speed SIMD “graphics engine” is presented which has grown out of earlier designs of...
Article
In this paper a CSG rendering algorithm will be presented for displaying both convex and concave objects. The algorithm is based on the usage of half spaces to construct convex objects. Unbounded planes divide space into half spaces. With these half spaces higher-level intersection objects can be defined as convex solids or as their complements, wh...

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Projects

Projects (2)
Project
To find out the robustness of cancer classification using radiomics features.