| Issue Date | Title | Author(s) |
| 2024 | Comparison of Machine Learning Algorithms for Yes/No Decoding Using Functional Near-Infrared Spectroscopy (fnirs) | Erdoğan, S.; Ergün, S.; Giregiz, H.; Şahin, B.M.; Eken, Aykut |
| 2024 | Defining the Optimal Alpha Band Connectivity Pathways To Detect Depression Using Explainable Ai | Nassehi, Farhad; Par, Asuhan; Eken, Aykut ; Yetkin, Sinan; Erogul, Osman |
| 2023 | Determination of the Optimal Eeg-Based Features To Detect Adhd by Machine Learning Algorithms | Can, Y.; Bigat, I.; Nassehi, F.; Eken, Aykut ; Erogul, O. |
| 2024 | Diagnostic Machine Learning Applications on Clinical Populations Using Functional Near Infrared Spectroscopy: a Review | Eken, Aykut ; Nassehi, Farhad; Eroğul, Osman |
| 2024 | Explainable fNIRS-based pain decoding under pharmacological conditions via deep transfer learning approach | Eken, Aykut ; Yuce, Murat; Yukselen, Gulnaz; Erdogan, Sinem Burcu |
| 2024 | Identification of Neurological Markers of Sarcopenia Disease Using Functional Near-Infrared Spectroscopy and Machine Learning | Sahin, Bora Mert; Sanli, Suveyda; Erdogan, Kubra; Durmus, Mahmut Esad; Kara, Ozgur; Kaymak, Bayram; Eken, Aykut |
| 2024 | Machine Learning Based Severity Classification of Obstructive Sleep Apnea Patients Using Awake Eeg | Nassehi, Farhad; Eken, Aykut ; Atalay, Nart Bedin ; Firat, Hikmet; Erogul, Osman |
