Saban Öztürk

According to our database, Saban Öztürk authored at least 36 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

HydraViT: Adaptive multi-branch transformer for multi-label disease classification from Chest X-ray images.

Saban Öztürk, Mehmet Yigit Turali, Tolga Çukur

Biomed. Signal Process. Control., 2025

2024

A Plug-In Graph Neural Network to Boost Temporal Sensitivity in fMRI Analysis.

Irmak Sivgin, Hasan Atakan Bedel, Saban Öztürk, Tolga Çukur

IEEE J. Biomed. Health Informatics, September, 2024

DenoMamba: A fused state-space model for low-dose CT denoising.

Saban Öztürk, Oguz Can Duran, Tolga Çukur

CoRR, 2024

2023

Unsupervised Medical Image Translation With Adversarial Diffusion Models.

Muzaffer Özbey, Onat Dalmaz, Salman Ul Hassan Dar, Hasan Atakan Bedel, Saban Öztürk, Alper Güngör, Tolga Çukur

IEEE Trans. Medical Imaging, December, 2023

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

Fayadh Alenezi, Ammar Armghan, Abdullah G. Alharbi, Saban Öztürk, Sara A. Althubiti, Romany Fouad Mansour

Expert Syst. Appl., December, 2023

Parallel-stream fusion of scan-specific and scan-general priors for learning deep MRI reconstruction in low-data regimes.

Salman Ul Hassan Dar, Saban Öztürk, Muzaffer Özbey, Kader Karli Oguz, Tolga Çukur

Comput. Biol. Medicine, December, 2023

Focal modulation network for lung segmentation in chest X-ray images.

Saban Öztürk, Tolga Çukur

Turkish J. Electr. Eng. Comput. Sci., October, 2023

Adaptive diffusion priors for accelerated MRI reconstruction.

Alper Güngör, Salman Ul Hassan Dar, Saban Öztürk, Yilmaz Korkmaz, Hasan Atakan Bedel, Gökberk Elmas, Muzaffer Özbey, Tolga Çukur

Medical Image Anal., August, 2023

Content-based medical image retrieval with opponent class adaptive margin loss.

Saban Öztürk, Emin Çelik, Tolga Çukur

Inf. Sci., August, 2023

Focal Modulation Based End-to-End Multi-Label Classification for Chest X-Ray Image Classification.

Saban Öztürk, Tolga Çukur

Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

2022

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

Saban Öztürk, Tolga Çukur

IEEE J. Biomed. Health Informatics, 2022

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

Fayadh Alenezi, Saban Öztürk, Ammar Armghan, Kemal Polat

Expert Syst. Appl., 2022

Adaptive Diffusion Priors for Accelerated MRI Reconstruction.

Salman Ul Hassan Dar, Saban Öztürk, Yilmaz Korkmaz, Gökberk Elmas, Muzaffer Özbey, Alper Güngör, Tolga Çukur

CoRR, 2022

2021

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

Majid Kamal A. Nour, Saban Öztürk, Kemal Polat

Neural Comput. Appl., 2021

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

Enes Yigit, Umut Özkaya, Saban Öztürk, Dilbag Singh, Hassène Gritli

Mob. Inf. Syst., 2021

Residual LSTM layered CNN for classification of gastrointestinal tract diseases.

Saban Öztürk, Umut Özkaya

J. Biomed. Informatics, 2021

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

Saban Öztürk, Umut Özkaya, Mücahid Barstugan

Int. J. Imaging Syst. Technol., 2021

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

Hatem F. Sindi, Majid Kamal A. Nour, Muhyaddin Jamal H. Rawa, Saban Öztürk, Kemal Polat

Expert Syst. Appl., 2021

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

Hatem F. Sindi, Majid Kamal A. Nour, Muhyaddin Jamal H. Rawa, Saban Öztürk, Kemal Polat

Expert Syst. Appl., 2021

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

Saban Öztürk, Adi Alhudhaif, Kemal Polat

Turkish J. Electr. Eng. Comput. Sci., 2021

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

Saban Öztürk, Enes Yigit, Umut Ozkaya

CoRR, 2021

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

Saban Öztürk

Biomed. Signal Process. Control., 2021

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

Mücahid Barstugan, Umut Ozkaya, Saban Öztürk

Proceedings of the 4th International Conference on Recent Trends and Applications in Computer Science and Information Technology, Tirana, Albania, May 21st - to, 2021

2020

Gastrointestinal tract classification using improved LSTM based CNN.

Saban Öztürk, Umut Özkaya

Multim. Tools Appl., 2020

Skin Lesion Segmentation with Improved Convolutional Neural Network.

Saban Öztürk, Umut Özkaya

J. Digit. Imaging, 2020

A healthcare evaluation system based on automated weighted indicators with cross-indicators based learning approach in terms of energy management and cybersecurity.

Majid Kamal A. Nour, Hatem F. Sindi, Ehab Atif Abozinadah, Saban Öztürk, Kemal Polat

Int. J. Medical Informatics, 2020

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

Saban Öztürk

Expert Syst. Appl., 2020

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

Umut Özkaya, Saban Öztürk, Serkan Budak, Farid Melgani, Kemal Polat

CoRR, 2020

Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique.

Umut Ozkaya, Saban Öztürk, Mücahid Barstugan

CoRR, 2020

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

Saban Öztürk, Rehan Ahmad, Nadeem Akhtar

Appl. Soft Comput., 2020

2019

A convolutional neural network model for semantic segmentation of mitotic events in microscopy images.

Saban Öztürk, Bayram Akdemir

Neural Comput. Appl., 2019

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

Saban Öztürk, Bayram Akdemir

Int. J. Imaging Syst. Technol., 2019

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

Saban Öztürk, Bayram Akdemir

Comput. Electr. Eng., 2019

2018

Effective histopathological image area reduction method for real-time applications.

Saban Öztürk, Bayram Akdemir

J. Electronic Imaging, 2018

Phase classification of mitotic events using selective dictionary learning for stem cell populations.

Saban Öztürk, Bayram Akdemir

Comput. Electr. Eng., 2018

2016

Novel BiasFeed cellular neural network model for glass defect inspection.

Saban Öztürk, Bayram Akdemir

Proceedings of the International Conference on Control, 2016