A hybrid artificial intelligence method to classify trichotillomania and obsessive compulsive disorder. - Turker Tekin Erguzel; Serhat Ozekes; Gokben Hizli Sayar; Oguz Tan; Nevzat Tarhan (Neurocomputing, 2015)

Machine Learning Approaches to Predict Repetitive Transcranial Magnetic Stimulation Treatment Response in Major Depressive Disorder. - Turker Tekin Erguzel; Nevzat Tarhan (IntelliSys (2), 2016)

Artificial intelligence approach to classify unipolar and bipolar depressive disorders. - Turker Tekin Erguzel; Gokben Hizli Sayar; Nevzat Tarhan (Neural Comput. Appl., 2016)

Discriminating schizophrenia and schizo-obsessive disorder: a structural MRI study combining VBM and machine learning methods. - Cumhur Tas; Hazal Mogulkoc; Gul Eryilmaz; Isil Gogcegoz-Gul; Turker Tekin Erguzel; Baris Metin; Nevzat Tarhan (Neural Comput. Appl., 2018)

Anatomical connectivity changes in bipolar disorder and schizophrenia investigated using whole-brain tract-based spatial statistics and machine learning approaches. - Bernis Sutcubasi; Sinem Zeynep Metin; Turker Tekin Erguzel; Baris Metin; Cumhur Tas; Mehmet Kemal Arikan; Nevzat Tarhan (Neural Comput. Appl., 2019)

Multi-class classification model for psychiatric disorder discrimination. - Ilkim Ecem Emre; Çigdem Erol; Cumhur Tas; Nevzat Tarhan (Int. J. Medical Informatics, 2023)

An application of raman spectroscopy in combination with machine learning to determine gastric cancer spectroscopy marker. - Zozan Guleken; Pawel Jakubczyk; Wieslaw Paja; Krzysztof Pancerz; Agnieszka Wosiak; Ilhan Yaylim; Güldal Inal Gültekin; Nevzat Tarhan; Mehmet Tolgahan Hakan; Dilara Sönmez; Devrim Saribal; Soykan Arikan; et al. (Comput. Methods Programs Biomed., 2023)