IEEE AP/MTT/EMC/ED TURKEY CHAPTER SEMINAR SERIES -- SEMINAR 45
Speaker: Assoc. Prof. Tolga Çukur, Bilkent University
Topic: "Rapid, Comprehensive, High-Resolution MR Imaging: From Sparse Recovery to Machine Learning"
Location: Middle East Technical University, Ankara, Turkey
Abstract: MRI offers an unprecedented opportunity to noninvasively examine the morphology and function of the human body in vivo. Yet, the quest for higher diagnostic utility by increasing image quality and diversity is often countered by limitations due to experimental and economic concerns. This talk will convey an overview of research at ICON Lab at Bilkent University towards addressing fundamental limitations to enable favorable trade-offs among imaging parameters. Technological innovations include high-resolution targeted pulse sequences, compressive sensing algorithms, as well as deep learning and other machine learning techniques for image processing and statistical modeling. These strategies can achieve substantial improvements in image quality for both structural and functional MRI. Challenging applications that involve the inverse problems of image reconstruction and image synthesis will be showcased.
Bio: Dr. Çukur received his B.S. degree from Bilkent University in 2003, and his Ph.D. degree from Stanford University in 2009, both in Electrical Engineering. He was a postdoctoral fellow at Helen Wills Neuroscience Institute at University of California, Berkeley till 2013. Currently, he is an Associate Professor in the Department of Electrical and Electronics Engineering, UMRAM, and Neuroscience Program at Bilkent University. His lab develops computational imaging methods for understanding the anatomy and function of biological systems in normal and disease states. He is the recipient of TUBITAK Career Award (2015), TUBA-GEBIP Outstanding Young Scientist Award (2015), BAGEP Young Scientist Award (2017), IEEE Turkey Research Encouragement Award (2017), Science Heroes Association Young Scientist of the Year Award (2018), and he is a senior member of IEEE (2017).
Date and Time
- Date: 08 Mar 2019
- Time: 01:30 PM to 03:30 PM
- All times are Turkey
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Assoc. Prof. Tolga Çukur