Our new MICCAI2026 main conference publication
MICCAI2026
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Research scientist
Alexander von Humboldt postdoctoral fellow at the Technical University of Munich, working in magnetic resonance imaging and medical AI.
I am an Alexander von Humboldt postdoctoral fellow at the Institute of Artificial Intelligence and Informatics in Medicine at the Technical University of Munich. My research focuses on magnetic resonance imaging, particularly deep-learning-based super-resolution and image reconstruction with motion correction.
I am interested in translating advanced computational methods into imaging tools with real clinical value, including applications in liver and cardiac imaging. Previously, I earned my MS and PhD in Bioengineering and Biomedical Engineering at UCLA, where I worked on abdominal adipose-tissue segmentation and free-breathing liver MR elastography in children.
MICCAI2026
↗MICCAI2026
↗MICCAI2026 STACOM
↗ISMRM2026 abstract
ISMRM2026 abstract
ISMRM2026 abstract
ISMRM2026 abstract
Fellowship
Academic milestone
Journal of Magnetic Resonance Imaging
↗Radiology Advances
↗Journal of Magnetic Resonance Imaging
↗Pediatric Radiology
↗Magnetic Resonance in Medicine
↗University of California, Los Angeles
University of California, Los Angeles
Bilkent University
Bilkent University