Taxonomic classification of metagenomic sequences from Relative Abundance Index profiles using deep learning. - Meryem Altin Karagöz; Özkan Ufuk Nalbantoglu (Biomed. Signal Process. Control., 2021)

An unsupervised transfer learning model based on convolutional auto encoder for non-alcoholic steatohepatitis activity scoring and fibrosis staging of liver histopathological images. - Meryem Altin Karagöz; Bahriye Akay; Alper Bastürk; Dervis Karaboga; Özkan U. Nalbantoglu (Neural Comput. Appl., 2023)

A comparative study of YOLO models and a transformer-based YOLOv5 model for mass detection in mammograms. - Damla Coskun; Dervis Karaboga; Alper Bastürk; Bahriye Akay; Özkan Ufuk Nalbantoglu; Serap Dogan; Ishak Paçal; Meryem Altin Karagöz (Turkish J. Electr. Eng. Comput. Sci., 2023)

A self-supervised learning model based on variational autoencoder for limited-sample mammogram classification. - Meryem Altin Karagöz; Özkan Ufuk Nalbantoglu (Appl. Intell., 2024)

Residual Vision Transformer (ResViT) Based Self-Supervised Learning Model for Brain Tumor Classification. - Meryem Altin Karagöz; Özkan U. Nalbantoglu; Geoffrey C. Fox (CoRR, 2024)

Deep learning-based breast cancer diagnosis with multiview of mammography screening to reduce false positive recall rate. - Meryem Altin Karagöz; Özkan Ufuk Nalbantoglu; Dervis Karaboga; Bahriye Akay; Alper Bastürk; Halil Ulutabanca; Serap Dogan; Damla Coskun; Osman Demir (Turkish J. Electr. Eng. Comput. Sci., 2024)

A Comparative Study of Transformer-Based Models for Multi-Horizon Blood Glucose Prediction. - Meryem Altin Karagöz; Marc D. Breton; Anas El Fathi (CoRR, 2025)