MRIQT: Physics-Aware Diffusion Model for Image Quality Transfer in Neonatal Ultra-Low-Field MRI

Publication
2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)
Malek Al Abed
Malek Al Abed
Research Associate

Malek is a Research Associate at the University Hospital Bonn under the supervision of Prof. Dr. Shadi Albarqouni. He holds an M.Sc. in Biomedical Computing from TU Munich and completed his masters thesis at the University Hospital Bonn and TU Munich under the same supervision. His master’s thesis focused on image quality transfer for ultra-low-field MRI, with particular emphasis on the Hyperfine SWOOP system. Previously, he completed his undergraduate studies in Electrical Engineering at Kuwait University and undertook a research internship at Sony Stuttgart as a deep learning researcher, where he worked on audio recognition and human avatar technologies. Currently, his research focuses on the use of medical imaging in radiation therapy (iMRT and VMAT), particularly for dose optimization and personalized treatment planning. In addition, he works on developing an AI service and its corresponding API as part of the OMI protocol.

Sebiha Demir
Sebiha Demir
Kinderärztin
Anne Groteklaes
Anne Groteklaes
Kinderärztin
Elodie Germani
Elodie Germani
Postdoctoral Researcher

Elodie Germani works with Prof. Shadi Albarqouni as a postdoctoral researcher. She did her PhD at the University of Rennes, under the supervision of Dr. Camille Maumet and Prof. Elisa Fromont. After four years of medicine school at the University of Versailles, she took a shift in her career and started a Master’s degree in bioinformatics. Her research focuses on exploring, modelling and building solutions to take into account the variability of data in medical imaging, particularly using deep representation learning. During her PhD, her goal was to facilitate the re-use of data shared on public databases by taking into account the different sources of variability. In the future, she would like to focus more in the use of real-world data and on the robustness of machine learning models to dataset shifts and privacy attacks.

Shahrooz Faghihroohi
Shahrooz Faghihroohi
Research Scinetist
Hemmen Sabir
Hemmen Sabir
Professor and Head of Experimental Neonatology
Shadi Albarqouni
Shadi Albarqouni
Professor of Computational Medical Imaging Research at University of Bonn