Saban Öztürk

Orcid: 0000-0003-2371-8173

According to our database1, Saban Öztürk authored at least 35 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Unsupervised Medical Image Translation With Adversarial Diffusion Models.
IEEE Trans. Medical Imaging, December, 2023

Reverse gamma correction based GARCH model for underwater image dehazing and detail exposure.
Expert Syst. Appl., December, 2023

Parallel-stream fusion of scan-specific and scan-general priors for learning deep MRI reconstruction in low-data regimes.
Comput. Biol. Medicine, December, 2023

Focal modulation network for lung segmentation in chest X-ray images.
Turkish J. Electr. Eng. Comput. Sci., October, 2023

Adaptive diffusion priors for accelerated MRI reconstruction.
Medical Image Anal., August, 2023

Content-based medical image retrieval with opponent class adaptive margin loss.
Inf. Sci., August, 2023

HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease Classification from Chest X-ray Images.
CoRR, 2023

Focal Modulation Based End-to-End Multi-Label Classification for Chest X-Ray Image Classification.
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.
IEEE J. Biomed. Health Informatics, 2022

An effective hashing method using W-Shaped contrastive loss for imbalanced datasets.
Expert Syst. Appl., 2022

Adaptive Diffusion Priors for Accelerated MRI Reconstruction.
CoRR, 2022

2021
A novel classification framework using multiple bandwidth method with optimized CNN for brain-computer interfaces with EEG-fNIRS signals.
Neural Comput. Appl., 2021

Automatic Detection of Power Quality Disturbance Using Convolutional Neural Network Structure with Gated Recurrent Unit.
Mob. Inf. Syst., 2021

Residual LSTM layered CNN for classification of gastrointestinal tract diseases.
J. Biomed. Informatics, 2021

Classification of Coronavirus (COVID-19) from X-ray and CT images using shrunken features.
Int. J. Imaging Syst. Technol., 2021

An adaptive deep learning framework to classify unknown composite power quality event using known single power quality events.
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.
Expert Syst. Appl., 2021

Attention-based end-to-end CNN framework for content-based X-ray image retrieval.
Turkish J. Electr. Eng. Comput. Sci., 2021

Fused Deep Features Based Classification Framework for COVID-19 Classification with Optimized MLP.
CoRR, 2021

Class-driven content-based medical image retrieval using hash codes of deep features.
Biomed. Signal Process. Control., 2021

Coronavirus (Covid-19) Classification Using CT Images by Machine Learning Methods.
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.
Multim. Tools Appl., 2020

Skin Lesion Segmentation with Improved Convolutional Neural Network.
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.
Int. J. Medical Informatics, 2020

Stacked auto-encoder based tagging with deep features for content-based medical image retrieval.
Expert Syst. Appl., 2020

Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines.
CoRR, 2020

Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique.
CoRR, 2020

Variants of Artificial Bee Colony algorithm and its applications in medical image processing.
Appl. Soft Comput., 2020

2019
A convolutional neural network model for semantic segmentation of mitotic events in microscopy images.
Neural Comput. Appl., 2019

Cell-type based semantic segmentation of histopathological images using deep convolutional neural networks.
Int. J. Imaging Syst. Technol., 2019

HIC-net: A deep convolutional neural network model for classification of histopathological breast images.
Comput. Electr. Eng., 2019

2018
Fuzzy logic-based segmentation of manufacturing defects on reflective surfaces.
Neural Comput. Appl., 2018

Effective histopathological image area reduction method for real-time applications.
J. Electronic Imaging, 2018

Phase classification of mitotic events using selective dictionary learning for stem cell populations.
Comput. Electr. Eng., 2018

2016
Novel BiasFeed cellular neural network model for glass defect inspection.
Proceedings of the International Conference on Control, 2016


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