Dr. Sevgi Gokce Kafali
AI & medical imaging
Munich, Germany

Research scientist

Dr. Sevgi Gokce Kafali

Alexander von Humboldt postdoctoral fellow at the Technical University of Munich, working in magnetic resonance imaging and medical AI.

Current roleAlexander von Humboldt postdoctoral fellow
InstitutionTechnical University of Munich
FocusAI-based MRI reconstruction & analysis
01 / ABOUT

Research profile

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
02 / NEWS

Recent updates

2026

Our new MICCAI2026 main conference publication

Opportunistic Cardiac Health Assessment: Estimating Phenotypes from Localizer MRI Through Multi-modal Representations

MICCAI2026

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2026

Our new MICCAI2026 main conference publication

Gabor Primitives for Accelerated Cardiac Cine MRI Reconstruction

MICCAI2026

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2026

Our new MICCAI2026 STACOM workshop publication

No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space

MICCAI2026 STACOM

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2026

Abdominal Fat Fraction Atlases for Longitudinal Mapping of Liver Fat During Weight Loss: Results from the LION Study

ISMRM2026 abstract

2026

Opportunistic Assessment of Cardiac Function and Structure from Routine Localizer MRI

ISMRM2026 abstract

2026

KIMRA: K-space–Image Multimodal Representation Alignment for Comprehensive Cardiac Analysis

ISMRM2026 abstract

2026

3D nnU-Net-Based Automated Segmentation of Abdominal Adipose Tissue in Children using Free-Breathing Dixon MRI

ISMRM2026 abstract

2025

Awarded an Alexander von Humboldt postdoctoral fellowship

Institute of Artificial Intelligence and Informatics in Medicine, Technical University of Munich.

Fellowship

2024

Completed PhD in Bioengineering and Biomedical Engineering at UCLA

Research focused on medical image reconstruction, analysis, and paediatric imaging.

Academic milestone

03 / SELECTED PUBLICATIONS

Selected publications

2026

Editorial for “High-Throughput Quantitative Chemical Shift-Encoded MRI of the Liver”

S. G. Kafali

Journal of Magnetic Resonance Imaging

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2026

Cross-Cohort Federated Learning for Pediatric Abdominal Adipose Tissue Segmentation and Quantification Using Free-Breathing 3D MRI

S. G. Kafali*, W. Zhang*, T. Adamos, K. Kuwahara, et al.
*co-first authors.

Radiology Advances

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2024

Self-Gated Radial Free-Breathing Liver MR Elastography: Assessment of Technical Performance in Children at 3 T

S. G. Kafali, B. D. Bolster Jr, S.-F. Shih, T. I. Delgado, et al.

Journal of Magnetic Resonance Imaging

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2022

Free-Breathing Radial Magnetic Resonance Elastography of the Liver in Children at 3 T: A Pilot Study

S. G. Kafali, T. Armstrong, S.-F. Shih, et al.

Pediatric Radiology

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2018

Phase-Correcting Non-Local Means Filtering for Diffusion-Weighted Imaging of the Spinal Cord

S. G. Kafali, T. Çukur, E. Ü. Sarıtaş

Magnetic Resonance in Medicine

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04 / 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