Şaban Öztürk

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Bayram AKDEMİRKonya Technical UniversityVerified email at ktun.edu.tr
Tolga CukurProfessor of Electrical EngineeringVerified email at ee.bilkent.edu.tr
Umut ÖzkayaKonya Technical UniversityVerified email at ktun.edu.tr
mücahid barstuğanKonya Technical UniversityVerified email at ktun.edu.tr
Muzaffer ÖzbeyUniversity of Illinois at Urbana-ChampaignVerified email at ee.bilkent.edu.tr
Salman Ul Hassan DarHeidelberg UniversityVerified email at med.uni-heidelberg.de
Prof.Dr. Levent SeyfiKonya Teknik ÜniversitesiVerified email at ktun.edu.tr
Alper GüngörAppleVerified email at apple.com
Hasan Atakan BedelPh.D. Student at Stanford UniversityVerified email at stanford.edu
Onat DalmazStanford UniversityVerified email at stanford.edu
Enes YiğitProfessor, Bursa Uludağ UniversityVerified email at uludag.edu.tr
Yılmaz KorkmazPhD Student, Johns Hopkins UniversityVerified email at jhu.edu
gökberk elmasBilkent UniversityVerified email at ee.bilkent.edu.tr
Fayadh Alenezi, PhDAssociate Professor, Department of Electrical Engineering, Faculty of Engineering, Jouf UniversityVerified email at ju.edu.sa
Nadeem AkhtarAssistant Professor in Electrical Engineering DepartmentVerified email at rcpit.ac.in
Dr. Rehan AhmadAssistant Professor, Dept. of AS&H, MPSTME, SHIRPUR CAMPUS.Verified email at nmims.edu
yavuz ünalAmasya Üniversitesi, Mühendislik FakültesiVerified email at amasya.edu.tr
Dr. Dilbag SinghNew York University, USAVerified email at nyulangone.org
Emin ÇelikPostdoctoral Researcher, Max Planck Institute for Software SystemsVerified email at mpi-sws.org
Irmak SivginStanford UniversityVerified email at stanford.edu

Şaban Öztürk

Associate Professor of Electrical and Electronics Engineering

Verified email at bilkent.edu.tr

deep learning convolutional neural networks artificial intelligence content-based image retrieval


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Coronavirus (covid-19) classification using ct images by machine learning methods M Barstugan, U Ozkaya, S Ozturk arXiv preprint arXiv:2003.09424, 2020	529	2020
Unsupervised medical image translation with adversarial diffusion models M Özbey, O Dalmaz, SUH Dar, HA Bedel, Ş Özturk, A Güngör, T Çukur IEEE Transactions on Medical Imaging, 2023	289	2023
Coronavirus (COVID-19) classification using deep features fusion and ranking technique U Özkaya, Ş Öztürk, M Barstugan Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation …, 2020	219	2020
Application of feature extraction and classification methods for histopathological image using GLCM, LBP, LBGLCM, GLRLM and SFTA Ş Öztürk, B Akdemir Procedia computer science 132, 40-46, 2018	212	2018
Adaptive diffusion priors for accelerated MRI reconstruction A Güngör, SUH Dar, Ş Öztürk, Y Korkmaz, HA Bedel, G Elmas, M Ozbey, ... Medical image analysis 88, 102872, 2023	176	2023
Classification of Coronavirus (COVID‐19) from X‐ray and CT images using shrunken features Ş Öztürk, U Özkaya, M Barstuğan International Journal of Imaging Systems and Technology 31 (1), 5-15, 2021	169	2021
Skin lesion segmentation with improved convolutional neural network Ş Öztürk, U Özkaya Journal of digital imaging 33, 958-970, 2020	129	2020
Stacked auto-encoder based tagging with deep features for content-based medical image retrieval Ş Öztürk Expert Systems with Applications 161, 113693, 2020	101	2020
Variants of Artificial Bee Colony algorithm and its applications in medical image processing Ş Öztürk, R Ahmad, N Akhtar Applied Soft Computing 97, 106799, 2020	98	2020
Comparison of edge detection algorithms for texture analysis on glass production Ş Öztürk, B Akdemir Procedia-Social and Behavioral Sciences 195, 2675-2682, 2015	97	2015
Residual LSTM layered CNN for classification of gastrointestinal tract diseases Ş Öztürk, U Özkaya Journal of Biomedical Informatics 113, 103638, 2021	86	2021
A novel hybrid deep learning approach including combination of 1D power signals and 2D signal images for power quality disturbance classification H Sindi, M Nour, M Rawa, Ş Öztürk, K Polat Expert Systems with Applications 174, 114785, 2021	85	2021
Gastrointestinal tract classification using improved LSTM based CNN Ş Öztürk, U Özkaya Multimedia Tools and Applications 79 (39), 28825-28840, 2020	77	2020
Deep clustering via center-oriented margin free-triplet loss for skin lesion detection in highly imbalanced datasets Ş Öztürk, T Çukur IEEE Journal of Biomedical and Health Informatics 26 (9), 4679-4690, 2022	58	2022
Effects of histopathological image pre-processing on convolutional neural networks Ş Öztürk, B Akdemir Procedia computer science 132, 396-403, 2018	56	2018
HIC-net: A deep convolutional neural network model for classification of histopathological breast images Ş Öztürk, B Akdemir Computers & Electrical Engineering 76, 299-310, 2019	55	2019
Residual CNN+ Bi-LSTM model to analyze GPR B scan images U Özkaya, Ş Öztürk, F Melgani, L Seyfi Automation in Construction 123, 103525, 2021	52	2021
Coronavirus (covid-19) classification using ct images by machine learning methods. arXiv 2020 M Barstugan, U Ozkaya, S Ozturk arXiv preprint arXiv:2003.09424, 0	48
Class-driven content-based medical image retrieval using hash codes of deep features Ş Öztürk Biomedical Signal Processing and Control 68, 102601, 2021	46	2021
Automatic Detection of Power Quality Disturbance Using Convolutional Neural Network Structure with Gated Recurrent Unit E Yiğit, U Özkaya, Ş Öztürk, D Singh, H Gritli Mobile Information Systems 2021, 7917500, 2021	41	2021

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