Mehmet Turan – Digital Pathology and Artificial Intelligence – Best Researcher Award

Mehmet Turan - Digital Pathology and Artificial Intelligence - Best Researcher Award

Bogazici University - Turkey

AUTHOR PROFILE

SCOPUS

🧠 INNOVATIVE RESEARCH IN ARTIFICIAL INTELLIGENCE AND BIOMEDICAL ENGINEERING

Dr. Mehmet Turan is a leading expert in the application of artificial intelligence (AI) within biomedical engineering. He is currently an Assistant Professor at Boğaziçi University in Istanbul, Turkey, where he specializes in integrating AI with healthcare technologies. His research focuses on developing AI-enabled digital pathology applications and decision support systems for the histopathological diagnosis of gastric cancers, showcasing his commitment to advancing medical diagnostics through cutting-edge technology.

🧬 PIONEER IN AI-ENABLED MEDICAL APPLICATIONS

Dr. Turan’s work in AI-enabled medical applications has garnered substantial grant support. Notably, his projects include the development of magnetically actuated endoscopic capsule robots for targeted drug delivery and biopsy operations, funded by TÜBİTAK. His innovative approach to AI in medical imaging and drug delivery systems represents a significant advancement in the field, emphasizing his role in transforming biomedical technologies.

🌍 GLOBAL RESEARCH EXPERIENCE IN BIOMEDICAL ENGINEERING

With a robust international research background, Dr. Turan has held prominent positions at prestigious institutions. He served as a Research Scientist at the Max Planck Institute for Intelligent Systems in Germany and at UCLA's Ozcan Group in the USA. His international experience has enriched his research perspectives, contributing to his expertise in developing advanced AI systems for medical applications.

📚 EXPERT IN TEACHING AND COURSE DEVELOPMENT

Dr. Turan is also a dedicated educator, teaching courses such as "Artificial Intelligence in Healthcare" and "Multi-task Learning & Meta-Learning" at Boğaziçi University. His courses are designed to equip students with a comprehensive understanding of machine learning applications in healthcare and advanced techniques in deep learning and reinforcement learning, preparing them to tackle complex problems in biomedical research.

📝 SIGNIFICANT PUBLICATIONS AND CONTRIBUTIONS

Dr. Turan has published extensively in high-impact journals, including Nature Medicine and Nature Biomedical Engineering. His research papers cover a range of topics from deep learning-based assessment of cardiac allograft rejection to super-resolution techniques for capsule endoscopy, reflecting his substantial contributions to the field of medical imaging and AI.

🔬 GRANT SUPPORTED RESEARCH INITIATIVES

Dr. Turan's research is supported by several prestigious grants, including those from the Istanbul Development Agency and TÜBİTAK. His work on AI-based systems for transforming frozen section images and translating them into formalin-fixed paraffin-embedded images underscores his innovative approach to enhancing diagnostic accuracy and efficiency in pathological assessments.

🌟 DEDICATION TO ADVANCING BIOMEDICAL TECHNOLOGIES

Dr. Turan’s career is marked by a steadfast dedication to advancing biomedical technologies through AI. His ongoing research and teaching efforts continue to push the boundaries of what is possible in medical diagnostics and therapeutic applications, solidifying his reputation as a leading figure in the integration of AI with healthcare.

NOTABLE PUBLICATION

Title: UC-NfNet: Deep learning-enabled assessment of ulcerative colitis from colonoscopy images
Authors: Turan, M., Durmus, F.
Journal: Medical Image Analysis
Year: 2022

Title: Forecasting of Air Quality Using an Optimized Recurrent Neural Network
Authors: Waseem, K.H., Mushtaq, H., Abid, F., Turan, M., Rasheed, J.
Journal: Processes
Year: 2022

Title: Deep learning-based robust positioning for all-weather autonomous driving
Authors: Almalioglu, Y., Turan, M., Trigoni, N., Markham, A.
Journal: Nature Machine Intelligence
Year: 2022

Title: SelfVIO: Self-supervised deep monocular Visual–Inertial Odometry and depth estimation
Authors: Almalioglu, Y., Turan, M., Saputra, M.R.U., Markham, A., Trigoni, N.
Journal: Neural Networks
Year: 2022

Title: Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies
Authors: Lipkova, J., Chen, T.Y., Lu, M.Y., Odening, K.E., Mahmood, F.
Journal: Nature Medicine
Year: 2022