Ş. Öztürk

发表

Image Inpainting based Compact Hash Code Learning using Modified U-Net

Ş. Öztürk, 2020, 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).

Soft Tissue Sacromas Segmentation using Optimized Otsu Thresholding Algorithms

Ş. Öztürk, 2017 .

An effective hashing method using W-Shaped contrastive loss for imbalanced datasets

Fayadh S. Alenezi, K. Polat, Ş. Öztürk, 2022, Expert Syst. Appl..

Stacked auto-encoder based tagging with deep features for content-based medical image retrieval

Şaban Öztürk, Ş. Öztürk, 2020, Expert Syst. Appl..

Coronavirus (Covid-19) Classification Using CT Images by Machine Learning Methods pdf

Umut Ozkaya, Saban Öztürk, Mücahid Barstugan, 2020, RTA-CSIT.

Fused Deep Features Based Classification Framework for COVID-19 Classification with Optimized MLP

E. Yiğit, Ş. Öztürk, U. Ozkaya, 2020, ArXiv.

Classification of Coronavirus (COVID‐19) from X‐ray and CT images using shrunken features

Şaban Öztürk, Umut Özkaya, Mücahid Barstuğan, 2020, Int. J. Imaging Syst. Technol..

Comparison of HOG, MSER, SIFT, FAST, LBP and CANNY features for cell detection in histopathological images

Şaban Öztürk, Ş. Öztürk, 2018 .

Cell‐type based semantic segmentation of histopathological images using deep convolutional neural networks

Bayram Akdemir, Şaban Öztürk, B. Akdemir, 2019, Int. J. Imaging Syst. Technol..

Fuzzy logic-based segmentation of manufacturing defects on reflective surfaces

Bayram Akdemir, Saban Öztürk, B. Akdemir, 2017, Neural Computing and Applications.

Application of Feature Extraction and Classification Methods for Histopathological Image using GLCM, LBP, LBGLCM, GLRLM and SFTA

Şaban Öztürk, Bayram Akdemir, B. Akdemir, 2018 .

Skin Lesion Segmentation with Improved Convolutional Neural Network

Şaban Öztürk, Umut Özkaya, Ş. Öztürk, 2020, Journal of Digital Imaging.

Coronavirus (COVID-19) Classification Using Deep Features Fusion and Ranking Technique pdf

Umut Ozkaya, Saban Öztürk, Mücahid Barstugan, 2020, Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach.

Variants of Artificial Bee Colony algorithm and its applications in medical image processing

Nadeem Akhtar, Şaban Öztürk, Rehan Ahmad, 2020, Appl. Soft Comput..

HIC-net: A deep convolutional neural network model for classification of histopathological breast images

Şaban Öztürk, Bayram Akdemir, B. Akdemir, 2019, Comput. Electr. Eng..

Content-Based Medical Image Retrieval with Opponent Class Adaptive Margin Loss

T. Çukur, Emin Çelik, Ş. Öztürk, 2022, Inf. Sci..

Residual LSTM layered CNN for classification of gastrointestinal tract diseases

Şaban Öztürk, Umut Özkaya, Ş. Öztürk, 2020, J. Biomed. Informatics.

Gastrointestinal tract classification using improved LSTM based CNN

Şaban Öztürk, Umut Özkaya, Ş. Öztürk, 2020, Multimedia Tools and Applications.

Class-driven content-based medical image retrieval using hash codes of deep features

Saban Öztürk, Ş. Öztürk, 2021, Biomed. Signal Process. Control..

Hash Code Generation using Deep Feature Selection Guided Siamese Network for Content-Based Medical Image Retrieval

Şaban Öztürk, Ş. Öztürk, 2021 .

Convolutional neural network based dictionary learning to create hash codes for content-based image retrieval

Şaban Öztürk, Ş. Öztürk, 2021 .

An adaptive deep learning framework to classify unknown composite power quality event using known single power quality events

Muhyaddin J. H. Rawa, Kemal Polat, Saban Öztürk, 2021, Expert Syst. Appl..

A novel hybrid deep learning approach including combination of 1D power signals and 2D signal images for power quality disturbance classification

Kemal Polat, Saban Öztürk, Muhyaddin Rawa, 2021, Expert Syst. Appl..

Automatic Detection of Power Quality Disturbance Using Convolutional Neural Network Structure with Gated Recurrent Unit

Umut Özkaya, Saban Öztürk, Hassène Gritli, 2021, Mob. Inf. Syst..

Effective histopathological image area reduction method for real-time applications

Bayram Akdemir, Saban Öztürk, B. Akdemir, 2018, J. Electronic Imaging.

Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets

T. Çukur, Ş. Öztürk, 2022, IEEE Journal of Biomedical and Health Informatics.

Reverse gamma correction based GARCH model for underwater image dehazing and detail exposure

Fayadh S. Alenezi, R. Mansour, Ş. Öztürk, 2023, Expert systems with applications.

Effects of Histopathological Image Pre-processing on Convolutional Neural Networks

Bayram Akdemir, Şaban Öztürk, B. Akdemir, 2018 .

Comparison of Edge Detection Algorithms for Texture Analysis on Glass Production

Bayram Akdemir, Şaban Öztürk, B. Akdemir, 2015 .

Attention-based end-to-end CNN framework for content-based X-ray image retrieval

K. Polat, Ş. Öztürk, A. Alhudhaif, 2021, Turkish J. Electr. Eng. Comput. Sci..

Comparative Regression Analysis for Estimating Resonant Frequency of C-Like Patch Antennas

Şaban Öztürk, Umut Özkaya, Levent Seyfi, 2021 .

Gaussian Regression Models for Day-Level Forecasting of COVID-19 in European Countries

Şaban Öztürk, Umut Özkaya, Ş. Öztürk, 2021, Understanding COVID-19: The Role of Computational Intelligence.

Dimension optimization of multi-band microstrip antennas using deep learning methods

Şaban Öztürk, Umut Özkaya, Levent Seyfi, 2021, Pamukkale University Journal of Engineering Sciences.

Random fully connected layered 1D CNN for solving the Z-bus loss allocation problem

Kemal Polat, Şaban Öztürk, Muhyaddin Rawa, 2021 .

Two-Stage Sequential Losses based Automatic Hash Code Generation using Siamese Network

Ş. Öztürk, 2020 .

A Novel Isolated Filter Built with One Transistor for Industrial Devices

Bayram Akdemir, Ahmet Afsin Kulaksiz, Şaban Öztürk, 2016 .

Convolution Kernel Size Effect on Convolutional Neural Network in Histopathological Image Processing Applications

Şaban Öztürk, Umut Özkaya, Levent Seyfi, 2018, 2018 International Symposium on Fundamentals of Electrical Engineering (ISFEE).

Glass Surface Defects Detection with Wavelet Transforms

Bayram Akdemir, Şaban Öztürk, B. Akdemir, 2022 .

A novel classification framework using multiple bandwidth method with optimized CNN for brain–computer interfaces with EEG-fNIRS signals

Kemal Polat, Şaban Öztürk, Majid Nour, 2021, Neural Computing and Applications.

Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines pdf

Farid Melgani, Kemal Polat, Umut Özkaya, 2020, ArXiv.

Fused Deep Features Based Classification Framework for COVID-19 Classification with Optimized MLP

E. Yiğit, Ş. Öztürk, U. Ozkaya, 2021, ArXiv.