Huseyin Uzen

According to our database, Huseyin Uzen authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

2024

A hybrid approach based on multipath Swin transformer and ConvMixer for white blood cells classification.

Hüseyin Üzen, Hüseyin Firat

Health Inf. Sci. Syst., December, 2024

Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset.

Ayse Ayyüce Demirbas, Hüseyin Üzen, Hüseyin Firat

Health Inf. Sci. Syst., December, 2024

A novel hybrid attention gate based on vision transformer for the detection of surface defects.

Hüseyin Üzen, Muammer Turkoglu, Dursun Öztürk, Davut Hanbay

Signal Image Video Process., September, 2024

Multi-Stage Learning Framework Using Convolutional Neural Network and Decision Tree-Based Classification for Detection of DDoS Pandemic Attacks in SDN-Based SCADA Systems.

Onur Polat, Muammer Türkoglu, Huseyin Polat, Saadin Oyucu, Hüseyin Üzen, Fahri Yardimci, Ahmet Aksöz

Sensors, February, 2024

ConvNext Mixer-Based Encoder Decoder Method for Nuclei Segmentation in Histopathology Images.

Hüseyin Firat, Hüseyin Üzen, Davut Hanbay, Abdulkadir Sengür

Int. J. Imaging Syst. Technol., 2024

Swin transformer-based fork architecture for automated breast tumor classification.

Hüseyin Üzen, Hüseyin Firat, Orhan Atila, Abdulkadir Sengür

Expert Syst. Appl., 2024

ConvMixer-based encoder and classification-based decoder architecture for breast lesion segmentation in ultrasound images.

Hüseyin Üzen

Biomed. Signal Process. Control., 2024

Accurate Segmentation of Brain Tumors in Magnetic Resonance Images with Pyramid Stage Decomposition Network Approach.

Berna Gürler Ari, Hüseyin Üzen, Abdulkadir Sengür

Proceedings of the 32nd Signal Processing and Communications Applications Conference, 2024

2023

Depth-wise Squeeze and Excitation Block-based Efficient-Unet model for surface defect detection.

Hüseyin Üzen, Muammer Turkoglu, Muzaffer Aslan, Davut Hanbay

Vis. Comput., May, 2023

Multi-dimensional feature extraction-based deep encoder-decoder network for automatic surface defect detection.

Huseyin Uzen, Muammer Turkoglu, Davut Hanbay

Neural Comput. Appl., February, 2023

2022

İmalat sistemlerinde derin öğrenme tabanlı doku hata tespiti (Deep learning based texture defect detection in manufacturing systems)

Hüseyin Üzen

PhD thesis, 2022

Swin-MFINet: Swin transformer based multi-feature integration network for detection of pixel-level surface defects.

Hüseyin Üzen, Muammer Türkoglu, Berrin A. Yanikoglu, Davut Hanbay

Expert Syst. Appl., 2022

2021

Texture defect classification with multiple pooling and filter ensemble based on deep neural network.

Huseyin Uzen, Muammer Turkoglu, Davut Hanbay

Expert Syst. Appl., 2021

Surface Defect Detection Using Deep U-Net Network Architectures.

Hüseyin Üzen, Muammer Türkoglu, Davut Hanbay

Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021