Baran Gözcü (2019)

Research Interests:

  • Image processing
  • Compressive sensing for wireless communication applications
  • Convex optimization

Biography

BSc in Electrical Engineering, Koc University, June 2010 

BSc in Mathematics, Koc University, June 2010

MSc in Communication Systems EPFL, February 2013

PhD theses (Doctoral Program in Computer and Communication Sciences) entitled “Data-driven Measurement Designs for Magnetic Resonance Imaging” , September 2019

Publications with LIONS (most recent)

Scalable Learning-Based Sampling Optimization For Compressive Dynamic MRI

T. Sanchez; B. Gözcü; R. Van Heeswijk; A. Eftekhari; E. Ilıcak et al. 

2020. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 4-8, 2020. p. 8584-8588. DOI : 10.1109/ICASSP40776.2020.9053345.

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Data-driven Measurement Designs for Magnetic Resonance Imaging

B. Gözcü / V. Cevher (Dir.)  

Lausanne, EPFL, 2019. 

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Rethinking Sampling in Parallel MRI: A Data-Driven Approach

B. Gözcü; T. Sanchez; V. Cevher 

2019. 27th European Signal Processing Conference (EUSIPCO), Coruña, Spain, September 2-6, 2019. DOI : 10.23919/EUSIPCO.2019.8903150.

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Learning-Based Compressive MRI

B. Gözcü; R. Karimi Mahabadi; Y-H. Li; E. Ilıcak; T. Çukur et al. 

IEEE Transactions On Medical Imaging. 2018. Vol. 37, num. 6, p. 1394-1406. DOI : 10.1109/TMI.2018.2832540.

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Learning-based subsampling

V. Cevher; Y-h. Li; I. Bogunovic; L. Baldassarre; J. Scarlett et al. 

US10082551; US2017109650.

2017.

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