Microscopic image segmentation based on firefly algorithm for detection of tuberculosis bacteria. - Selen Ayas; Hulya Dogan; Eyüp Gedikli; Murat Ekinci (SIU, 2015)

Image forgery detection based on Colour SIFT. - Beste Ustubioglu; Selen Ayas; Hulya Dogan; Güzin Ulutas (SIU, 2015)

Learning Based Single Image Super Resolution Using Discrete Wavelet Transform. - Selen Ayas; Murat Ekinci (CAIP (2), 2017)

Pan-sharpening based on sparse representation. - Selen Ayas; Esra Tunc Gormus; Murat Ekinci (SIU, 2017)

A novel sparse representation based super resolution approach using multi-scale and multi-directional feature descriptor. - Selen Ayas; Murat Ekinci (SIU, 2018)

A novel pan sharpening method via sparse representation over learned dictionary. - Selen Ayas; Esra Tunc Gormus; Murat Ekinci (SIU, 2018)

Single image super resolution based on sparse representation using discrete wavelet transform. - Selen Ayas; Murat Ekinci (Multim. Tools Appl., 2018)

An Efficient Pan Sharpening via Texture Based Dictionary Learning and Sparse Representation. - Selen Ayas; Esra Tunc Gormus; Murat Ekinci (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Öğrenme tabanlı tek görüntü süper çözünürlüğü yaklaşımlarının geliştirilmesi ve uygulanması (Development and implementation of learning based single image super resolution approaches) - Selen Ayas (2019)

Single image super resolution using dictionary learning and sparse coding with multi-scale and multi-directional Gabor feature representation. - Selen Ayas; Murat Ekinci (Inf. Sci., 2020)

Microscopic image super resolution using deep convolutional neural networks. - Selen Ayas; Murat Ekinci (Multim. Tools Appl., 2020)

Projected Gradient Descent Adversarial Attack and Its Defense on a Fault Diagnosis System. - Mustafa Sinasi Ayas; Selen Ayas; Seddik M. Djouadi (TSP, 2022)

A novel bearing fault diagnosis method using deep residual learning network. - Selen Ayas; Mustafa Sinasi Ayas (Multim. Tools Appl., 2022)

A modified densenet approach with nearmiss for anomaly detection in industrial control systems. - Selen Ayas; Mustafa Sinasi Ayas (Multim. Tools Appl., 2022)

Implementation of Fast Gradient Sign Adversarial Attack on Vision Transformer Model and Development of Defense Mechanism in Classification of Dermoscopy Images. - Elif Kanca; Selen Ayas; Elif Baykal Kablan; Murat Ekinci (SIU, 2023)

Performance Comparison of Vision Transformer-Based Models in Medical Image Classification. - Elif Kanca; Selen Ayas; Elif Baykal Kablan; Murat Ekinci (SIU, 2023)

Anomaly Detection in Predicted Water Treatment Data Using Hybrid CNN-LSTM Network Model. - Büsra Özgenç; Selen Ayas; Ramazan Özgür Dogan; Bora Çavdar; Ali Kivanç Sahin; Mustafa Sinasi Ayas (SIU, 2023)

Multiclass skin lesion classification in dermoscopic images using swin transformer model. - Selen Ayas (Neural Comput. Appl., 2023)

Analysis of CNN-LSTM Model Performance Under Targeted Adversarial Attacks in Water Treatment System. - Enis Kara; Mustafa Sinasi Ayas; Selen Ayas (TSP, 2024)

StainSWIN: Vision transformer-based stain normalization for histopathology image analysis. - Elif Baykal Kablan; Selen Ayas (Eng. Appl. Artif. Intell., 2024)

Skin lesion classification from dermoscopy images using ensemble learning of ConvNeXt models. - Elif Baykal Kablan; Selen Ayas (Signal Image Video Process., 2024)

OptAML: Optimized adversarial machine learning on water treatment and distribution systems. - Mustafa Sinasi Ayas; Enis Kara; Selen Ayas; Ali Kivanç Sahin (Int. J. Crit. Infrastructure Prot., 2025)

Detecting audio splicing forgery: A noise-robust approach with Swin Transformer and cochleagram. - Tolgahan Gulsoy; Elif Kanca Gulsoy; Arda Ustubioglu; Beste Ustubioglu; Elif Baykal Kablan; Selen Ayas; Güzin Ulutas; Gul Tahaoglu; Mohamed Elhoseny (J. Inf. Secur. Appl., 2025)

Evaluating and enhancing the robustness of vision transformers against adversarial attacks in medical imaging. - Elif Kanca; Selen Ayas; Elif Baykal Kablan; Murat Ekinci (Medical Biol. Eng. Comput., 2025)

Correction to: Evaluating and enhancing the robustness of vision transformers against adversarial attacks in medical imaging. - Elif Kanca; Selen Ayas; Elif Baykal Kablan; Murat Ekinci (Medical Biol. Eng. Comput., 2025)

Enhancing the adversarial robustness in medical image classification: exploring adversarial machine learning with vision transformers-based models. - Elif Kanca Gulsoy; Selen Ayas; Elif Baykal Kablan; Murat Ekinci (Neural Comput. Appl., 2025)