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DTSTART:20380119T061407
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DTSTAMP:20190311T203759Z
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DTSTART;TZID=Turkey:20190308T133000
DTEND;TZID=Turkey:20190308T153000
DESCRIPTION:Speaker: Assoc. Prof. Tolga Çukur\, Bilkent University\n\nTopi
 c: "Rapid\, Comprehensive\, High-Resolution MR Imaging: From Sparse Recove
 ry to Machine Learning"\n\nLocation: Middle East Technical University\, An
 kara\, Turkey\n\nAbstract: MRI offers an unprecedented opportunity to noni
 nvasively examine the morphology and function of the human body in vivo. Y
 et\, the quest for higher diagnostic utility by increasing image quality a
 nd diversity is often countered by limitations due to experimental and eco
 nomic 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 alg
 orithms\, as well as deep learning and other machine learning techniques f
 or image processing and statistical modeling. These strategies can achieve
  substantial improvements in image quality for both structural and functio
 nal MRI. Challenging applications that involve the inverse problems of ima
 ge reconstruction and image synthesis will be showcased.\n\nBio: Dr. Çuku
 r 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 Uni
 versity of California\, Berkeley till 2013. Currently\, he is an Associate
  Professor in the Department of Electrical and Electronics Engineering\, U
 MRAM\, and Neuroscience Program at Bilkent University. His lab develops co
 mputational imaging methods for understanding the anatomy and function of 
 biological systems in normal and disease states. He is the recipient of TU
 BITAK Career Award (2015)\, TUBA-GEBIP Outstanding Young Scientist Award (
 2015)\, BAGEP Young Scientist Award (2017)\, IEEE Turkey Research Encourag
 ement Award (2017)\, Science Heroes Association Young Scientist of the Yea
 r Award (2018)\, and he is a senior member of IEEE (2017).\n\nSpeaker(s): 
 Assoc. Prof. Tolga Çukur\, \n\nAnkara\, Ankara\, Türkiye
LOCATION:Ankara\, Ankara\, Türkiye
ORGANIZER:ozergul@metu.edu.tr
SEQUENCE:0
SUMMARY:IEEE AP/MTT/EMC/ED TURKEY CHAPTER SEMINAR SERIES -- SEMINAR 45
URL;VALUE=URI:https://events.vtools.ieee.org/m/194920
X-ALT-DESC:Description: <br /><p>Speaker: Assoc. Prof. Tolga &Ccedil\;ukur\
 , Bilkent University</p>\n<p>Topic: "Rapid\, Comprehensive\, High-Resoluti
 on MR Imaging: From Sparse Recovery to Machine Learning"</p>\n<p>Location:
 &nbsp\;Middle East Technical University\, Ankara\, Turkey</p>\n<p>Abstract
 : MRI offers an unprecedented opportunity to noninvasively examine the mor
 phology and function of the human body in vivo. Yet\, the quest for higher
  diagnostic utility by increasing image quality and diversity is often cou
 ntered by limitations due to experimental and economic concerns. This talk
  will convey an overview of research at ICON Lab at Bilkent University tow
 ards addressing fundamental limitations to enable favorable trade-offs amo
 ng imaging parameters. Technological innovations include high-resolution t
 argeted pulse sequences\, compressive sensing algorithms\, as well as deep
  learning and other machine learning techniques for image processing and s
 tatistical modeling. These strategies can achieve substantial improvements
  in image quality for both structural and functional MRI. Challenging appl
 ications that involve the inverse problems of image reconstruction and ima
 ge synthesis will be showcased.</p>\n<p>Bio: Dr. &Ccedil\;ukur received hi
 s 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 pos
 tdoctoral fellow at Helen Wills Neuroscience Institute at University of Ca
 lifornia\, Berkeley till 2013. Currently\, he is an Associate Professor in
  the Department of Electrical and Electronics Engineering\, UMRAM\, and Ne
 uroscience Program at Bilkent University. His lab develops computational i
 maging methods for understanding the anatomy and function of biological sy
 stems 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).</p>
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