Surface Defect Detection Using Deep U-Net Network Architectures. - Hüseyin Üzen; Muammer Türkoglu; Davut Hanbay (SIU, 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)

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)

İmalat sistemlerinde derin öğrenme tabanlı doku hata tespiti (Deep learning based texture defect detection in manufacturing systems) - Hüseyin Üzen (2022)

Multi-dimensional feature extraction-based deep encoder-decoder network for automatic surface defect detection. - Huseyin Uzen; Muammer Turkoglu; Davut Hanbay (Neural Comput. Appl., 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., 2023)

Accurate Segmentation of Brain Tumors in Magnetic Resonance Images with Pyramid Stage Decomposition Network Approach. - Berna Gürler Ari; Hüseyin Üzen; Abdulkadir Sengür (SIU, 2024)

ConvMixer-based encoder and classification-based decoder architecture for breast lesion segmentation in ultrasound images. - Hüseyin Üzen (Biomed. Signal Process. Control., 2024)

Swin transformer-based fork architecture for automated breast tumor classification. - Hüseyin Üzen; Hüseyin Firat; Orhan Atila; Abdulkadir Sengür (Expert Syst. Appl., 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)

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 002; Saadin Oyucu; Hüseyin Üzen; Fahri Yardimci; Ahmet Aksöz (Sensors, 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., 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., 2024)

A hybrid approach based on multipath Swin transformer and ConvMixer for white blood cells classification. - Hüseyin Üzen; Hüseyin Firat (Health Inf. Sci. Syst., 2024)

Optimized Multi-Scale Detection and Numbering of Teeth in Panoramic Radiographs Using DentifyNet. - Salih Taha Alperen Özçelik; Hüseyin Üzen; Abdulkadir Sengür; Muammer Türkoglu; Adalet Çelebi; Nebras Sobahi (IEEE Access, 2025)

Automated efficient traffic gesture recognition using swin transformer-based multi-input deep network with radar images. - Hüseyin Firat; Hüseyin Üzen; Orhan Atila; Abdulkadir Sengür (Signal Image Video Process., 2025)

DXDSENet-CM model: an ensemble learning model based on depthwise Squeeze-and-Excitation ConvMixer architecture for the classification of multi-class skin lesions. - Hüseyin Firat; Hüseyin Üzen (Multim. Tools Appl., 2025)