E-Nose System for Anesthetic Dose Level Detection using Artificial Neural Network. - Hamdi Melih Saraoglu; Burçak Edin (J. Medical Syst., 2007)

A Fuzzy Logic-Based Decision Support System on Anesthetic Depth Control for Helping Anesthetists in Surgeries. - Hamdi Melih Saraoglu; Sibel Sanli (J. Medical Syst., 2007)

Anesthetic Level Prediction Using a QCM Based E-Nose. - Hamdi Melih Saraoglu; Ahmet Özmen; Mehmet Ali Ebeoglu (J. Medical Syst., 2008)

A study on non-invasive detection of blood glucose concentration from human palm perspiration by using artificial neural networks. - Hamdi Melih Saraoglu; Mehmet Koçan (Expert Syst. J. Knowl. Eng., 2010)

Singular Spectrum Analysis of Sleep EEG in Insomnia. - Serap Aydin; Hamdi Melih Saraoglu; Sadik Kara (J. Medical Syst., 2011)

Investigation of the effect of rosemary odor on mental workload using EEG: an artificial intelligence approach. - Evin Sahin Sadik; Hamdi Melih Saraoglu; Sibel Canbaz Kabay; Mustafa Tosun; Cahit Keskinkiliç; Gönül Akdag (Signal Image Video Process., 2022)

EEG-based mental workload estimation of multiple sclerosis patients. - Seda Sasmaz Karacan; Hamdi Melih Saraoglu; Sibel Canbaz Kabay; Gönül Akdag; Cahit Keskinkiliç; Mustafa Tosun (Signal Image Video Process., 2023)

An Optimized Data and Model Centric Approach for Multi-Class Automated Urine Sediment Classification. - Sania Akhtar; Muhammad Hanif 001; Ahmar Rashid; Khursheed Aurangzeb; Ejaz Ahmad Khan; Hamdi Melih Saraoglu; Kamran Javed (IEEE Access, 2024)

A simplified method for relapsing-remitting multiple sclerosis detection: Insights from resting EEG signals. - Seda Sasmaz Karacan; Hamdi Melih Saraoglu (Comput. Biol. Medicine, 2024)

YOLOv11-SAMNet: A Hybrid Detection and Segmentation Framework for Urine Sediment Analysis. - Sania Akhtar; Muhammad Hanif 001; Hamdi Melih Saraoglu; Sham Lal; Muhammad Waqas Arshad (ICCSA (Workshops 14), 2025)