Onur Beker

I am a project student at EPFL, as part of the EDIC Fellowship Program. I received my BSc degree in Electrical Engineering, at Bogazici University. I was also a research intern at Max Planck Institute for Intelligent Systems, Physical Intelligence Department, and MGH/HST Athinoula A. Martinos Center for Biomedical Imaging - MR Physics and Instrumentation Group.

Email  /  CV  /  Google Scholar  /  GitHub

Publications
Scan-specific, Parameter-free Artifact Reduction in K-space (SPARK)
Onur Beker, Congyu Liao, Jaejin Cho, Zijing Zhang, Kawin Setsompop, Berkin Bilgic
ISMRM , (2020)
[pdf] [code]

A convolutional neural network (CNN) approach that works synergistically with physics-based reconstruction methods to reduce artifacts in accelerated MRI.

Shape-encoded Dynamic Assembly of Mobile Micromachines
Yunus Alapan, Berk Yigit, Onur Beker, Ahmet F. Demirors, Metin Sitti
Nature Materials , (2019)
[video]

A method for dynamically assembling mobile micromachines, using dielectrophoretic interactions that are modulated by the surface topology of individual parts.

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