MR reconstruction
Deep-learning-based image reconstruction with motion correction for robust, high-quality MRI.
01 / ABOUT
Research profile.
Researcher
in medical imaging
& AI
in medical imaging
& 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.
MRI reconstructionMRI super-resolutionImage segmentationMedical AI
MR super-resolution
Computational methods that enhance image resolution while preserving clinically relevant detail.
Image analysis
Segmentation and quantitative analysis for liver and cardiac imaging applications.
02 / EDUCATION
Education and training.
2024
PhD in Bioengineering and Biomedical Engineering
University of California, Los Angeles
2020
MS in Bioengineering and Biomedical Engineering
University of California, Los Angeles
2018
MS in Electrical and Electronics Engineering
Bilkent University
2015
BS in Electrical and Electronics Engineering
Bilkent University
03 / NEWS
Recent academic updates.
2026
New publication accepted at an international medical imaging conference
Research update
2025
Awarded an Alexander von Humboldt postdoctoral fellowship
Fellowship
2024
Completed PhD in Bioengineering and Biomedical Engineering at UCLA
Academic milestone
04 / SELECTED PUBLICATIONS
Selected publications in magnetic resonance imaging and machine learning.
2026
Cross-Cohort Federated Learning for Pediatric Abdominal Adipose Tissue Segmentation and Quantification Using Free-Breathing 3D MRI
Radiology Advances
↗2024
Self-Gated Radial Free-Breathing Liver MR Elastography: Assessment of Technical Performance in Children at 3 T
Journal of Magnetic Resonance Imaging
↗2022
Free-Breathing Radial Magnetic Resonance Elastography of the Liver in Children at 3 T: A Pilot Study
Pediatric Radiology
↗2018
Phase-Correcting Non-Local Means Filtering for Diffusion-Weighted Imaging of the Spinal Cord
Magnetic Resonance in Medicine
↗