Ahmet Görkem Er will give a seminar on “Informatics in the Pandemic Era” on 26 April at 12:45. The abstract of the talk and a short bio is shared below.
Ahmet Gorkem Er is a clinical fellow in the Department of Infectious Diseases and Clinical Microbiology at Hacettepe University and a Ph.D. student in Medical Informatics at METU. He holds an M.D. degree from Istanbul University Istanbul Faculty of Medicine and took his internal medicine residency training from Hacettepe University. He believes in interdisciplinary academic research and mainly focuses on implementing health informatics approaches into the medical field.
COVID-19 pandemic continues to impact all aspects of our lives. An interdisciplinary approach where clinicians and informaticians work together is crucial to control the pandemic. From diagnosis to treatment to protective measures, informatics is central to COVID-19 research and for the delivery of healthcare to the patients. Ahmet Görkem Er will highlight the importance of health informatics by giving examples in the pandemic era.
Utku Kaya will give a seminar on “AI Based Medical Device Development ” on 12 April at 12:45. The abstract of the talk and a short bio is shared below.
Utku Kaya (BSc, Electrical & Electronics Engineering, METU), has first been involved in the software industry during his undergraduate years. After 10+ years of software engineering experience, he joined Oracle Turkey where he executed numerous public sector projects for 8 years. In 2019 he founded SmartAlpha, an AI start-up that aims to democratize AI in healthcare globally.
Industry experts agree that AI will revolutionize healthcare in near future. But who will develop these revolutionary tools: Engineers or clinicians? Utku Kaya, the founder of SmartAlpha, believes that the development of such impactful tools requires a transdiciplinary approach where engineers and clinicians understand and serve for each other during the entire production process. This journey to a high impact success is challenging due to strict regulatory needs, massive data dependencies and market complexity.
Utku Kaya outlines the path to develop an AI-in-healthcare solution from idea to product.
CROssBAR platform, which was developed by Assoc. Prof. Tunca Doğan, Prof. Volkan Atalay, Dr. Maria Martin and their team in collaboration with CanSyL, was published on "Covid-19 Data Portal Türkiye" from TÜBİTAK.
For further information about the CROssBAR Project, you can read the brief introduction here, read the pre-print, visit the GitHub repository or visit the project website. To construct a knowledge graph using CROssBAR, please visit crossbar.kansil.org.
Dr. Ulaş Çiftçioğlu will give a seminar on “Neuroscience and Data Science” on 29 March at 12:45. The abstract of the talk and a short bio is shared below.
M. Ulaş Çiftçioğlu is a systems engineer at Aselsan Healthcare Systems. He holds a Ph.D. in Neurobiology from the University of Southern California, an MS degree in Medical Informatics from Middle East Technical University (METU) and a BS degree in Electrical–Electronics Engineering also from METU. His Ph.D. and postdoctoral research at the University of Southern California focused on visual processing in the thalamus of the brain. During his MS, he developed algorithms for tissue segmentation in brain MR images. Prior to his current role, he worked with C. Light Technologies to develop prognostic models for Multiple Sclerosis. Currently, he is working on the development of a clinical MRI system at Aselsan.
The role of the thalamus in processing visual sensory information has traditionally been considered as minimal. However, the thalamus contains various visual nuclei with different connectivity and function. As opposed to the well-studied thalamic dorsal lateral geniculate nucleus (dLGN), the role of the thalamic ventral lateral geniculate nucleus (vLGN) and thalamic reticular nucleus (TRN) in visual processing is relatively unknown. To explore that, we have used electrophysiological, optogenetic, histological, and computational techniques to investigate the physiology and morphology of neurons in these two nuclei. The sensory physiology in these nuclei highlighted the diversity within the thalamus in terms of visual processing and shed light on how they may serve vision.
Multiple Sclerosis (MS) is a neurological disease with various symptoms. Assessment and monitoring of MS is quite expensive and subjective. C. Light Technologies, a medical device company, is developing an eye movement tracking device to ultimately assess neurological diseases in an objective and cost-effective way. I have investigated whether this technology can provide a prognostic value, in addition to the already demonstrated diagnostic value. This pilot study suggested that measurements of eye movement tracking can provide insights on the progression of MS in individual patients.
Assoc. Prof. Devrim Ünay will give a seminar on “MR image processing (macro level) and microscopy image processing (micro level)” on 22 March (Monday) at 13:45. A short bio is shared below.
Devrim Ünay received the B.S. degree in electrical and electronics engineering and the M.S. degree in biomedical engineering from Boğaziçi University, Turkey, and the Ph.D. degree in applied sciences from the Faculté Polytechnique de Mons, Belgium. He was a Senior Scientist and a Marie Curie Fellow with the Video Processing and Analysis Group, Philips Research Eindhoven, The Netherlands, a Visiting Researcher with the VPA Laboratory, Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey, and a Faculty Member with Biomedical Engineering Department, Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul. He served as the Head of the Biomedical Engineering Department, İzmir University of Economics, Turkey. He is currently a Faculty Member at the Electrical and Electronics Engineering Department of Izmir Democracy University, Turkey. He is the co-founder and data scientist at Zoi Data as well. His research interests include biomedical image analysis, computer vision and pattern recognition, content-based information retrieval, machine/deep learning, and machine vision and quality inspection. He has been the PI of 4 national and 1 international projects. He has published 2 books, 4 book chapters, 22 journal papers, several conference proceedings, and holds 2 US patents. He has actively participated in the organizations of ICPR2010 and MICCAI 2016 conferences and co-organized several special sessions in national and international conferences. He is currently serving as a Member of the IEEE Signal Processing Society, Bio Imaging and Signal Processing Technical Committee (BISP TC) for the term 2021-2023, where he served as Associate Member previously.