We are pleased to share that the diploma thesis titled:
“Identification of Major Psychiatric Disorders Using Image Processing and Deep Learning Techniques”
was successfully presented on Tuesday, May 20, 2025, via the Microsoft Teams platform by our student Zeta Kourgiala.
Supervised by Assoc. Prof. Athanasios Koutras, this thesis explored a novel, non-invasive approach to psychiatric diagnosis by analyzing hand-drawn images created by individuals diagnosed with various psychiatric disorders. The data used in this study was kindly provided by Dr. Konstantinos Liolios, Psychiatrist. Ms. Kourgiala developed and evaluated multiple deep learning models, including CNN-based fusion architectures, to classify the drawings according to psychiatric categories. The work demonstrates the potential of combining clinical insight with advanced AI techniques to support mental health professionals in diagnostic assessment through visual data analysis.
The SIPPRE Group congratulates Zeta Kourgiala for her dedication and excellent presentation and looks forward to further research in this critical area of mental health and biomedical engineering.