TIME: 15:00, Jul. 21, 2026
VENUE: Room 4008, Cixi Campus, NIMTE
Abstract:
The gap between a promising biomedical imaging method in the lab and a reliable product in the hands of clinicians and researchers remains one of the most challenging hurdles in the field. This talk is about closing it. It follows the biomedical image processing pipeline—from acquisition and preprocessing through segmentation to classification—alongside the parallel demands of building a real product: diverse data, clinical validation, regulatory approval, and usable design. To demonstrate this journey in practice, three distinct case studies will be presented: automated MR defacing, which enables privacy-preserving data sharing for clinical research; deep-learning microscopy analysis for the automated evaluation of organ-on-chip platforms; and smartphone-based biosensors that bring point-of-care imaging to the early detection of pancreatic cancer.
Speaker Biography:
Assoc. Prof. Dr. Başak Esin Köktürk-Güzel is a faculty member in the Department of Electrical and Electronics Engineering at İzmir Democracy University, where she also serves as Director of the University's Artificial Intelligence and Data Analytics Research and Development Center (AIDA). She earned her B.Sc. (2009), M.Sc. (2012), and Ph.D. (2017) degrees in Electronics and Communication Engineering from the İzmir Institute of Technology. Alongside her academic and directorial roles, she is a Co-Founder and Data Scientist at Zoi Data Software Inc., where she works at the intersection of academic research and real-world product development. Her research interests include biomedical signal and image processing, machine learning, and pattern recognition. Her recent work focuses on turning automated biomedical imaging methods into deployable, end-user-oriented software.
