The evaluation of detectors and descriptors on determination of semen cell. - Hamza Osman Ilhan; Ahmet Elbir (INISTA, 2016)

Detection and estimation of down syndrome genes by machine learning techniques. - Enes Celik; Hamza Osman Ilhan; Ahmet Elbir (SIU, 2017)

A system implementation for analyzing and tracking motile objects in biomedical images (Biyomedikal görüntülerde hareketli nesnelerin analizi ve takibi için bir sistem gerçeklemesi) - Hamza Osman Ilhan (2017)

The Effects of the Modified Overlapping Group Shrinkage Technique on the Sperm Segmentation in the Stained Images. - Hamza Osman Ilhan; Gorkem Serbes; Nizamettin Aydin (TSP, 2018)

Dual Tree Complex Wavelet Transform Based Sperm Abnormality Classification. - Hamza Osman Ilhan; Gorkem Serbes; Nizamettin Aydin (TSP, 2018)

A novel data acquisition and analyzing approach to spermiogram tests. - Hamza Osman Ilhan; Nizamettin Aydin (Biomed. Signal Process. Control., 2018)

The implementation of optimization methods for contrast enhancement. - Ahmet Elbir; Hamza Osman Ilhan; Nizamettin Aydin (Comput. Syst. Sci. Eng., 2019)

Automated sperm morphology analysis approach using a directional masking technique. - Hamza Osman Ilhan; Gorkem Serbes; Nizamettin Aydin (Comput. Biol. Medicine, 2020)

A fully automated hybrid human sperm detection and classification system based on mobile-net and the performance comparison with conventional methods. - Hamza Osman Ilhan; Ibrahim Onur Sigirci; Gorkem Serbes; Nizamettin Aydin (Medical Biol. Eng. Comput., 2020)

Smartphone based sperm counting - an alternative way to the visual assessment technique in sperm concentration analysis. - Hamza Osman Ilhan; Nizamettin Aydin (Multim. Tools Appl., 2020)

Multi-model CNN fusion for sperm morphology analysis. - Mecit Yüzkat; Hamza Osman Ilhan; Nizamettin Aydin (Comput. Biol. Medicine, 2021)

Sperm Motility Analysis by using Recursive Kalman Filters with the smartphone based data acquisition and reporting approach. - Hamza Osman Ilhan; Mecit Yüzkat; Nizamettin Aydin (Expert Syst. Appl., 2021)

Decision and feature level fusion of deep features extracted from public COVID-19 data-sets. - Hamza Osman Ilhan; Gorkem Serbes; Nizamettin Aydin (Appl. Intell., 2022)

Sperm morphology analysis by using the fusion of two-stage fine-tuned deep networks. - Hamza Osman Ilhan; Gorkem Serbes (Biomed. Signal Process. Control., 2022)

Detection of sperm cells by single-stage and two-stage deep object detectors. - Mecit Yüzkat; Hamza Osman Ilhan; Nizamettin Aydin (Biomed. Signal Process. Control., 2023)

Hi-LabSpermMorpho: A Novel Expert-Labeled Dataset With Extensive Abnormality Classes for Deep Learning-Based Sperm Morphology Analysis. - Abdulsamet Aktas; Gorkem Serbes; Merve Huner Yigit; Nizamettin Aydin; Hakki Uzun; Hamza Osman Ilhan (IEEE Access, 2024)