Medical Pitch Contest Bonn

MRIQT-Neo Pitch

Date
Oct 14, 2026 09:00 — 14:00
Location
Bonn, Germany

Malek attended MIB Future Panel 2026 where he also pitched MRIQT-Neo, along with Anne, at the Medical Pitch Contest and our plan to commercialze the project. The MIB Future Panel is UKBonn’s annual networking event hosted by the Medical Imaging Center and UKBonn’s Transfer Team in Bonn. The goal of this event is to merge medical imaging and artificial intelligence (AI) in clinical practice and research with a panel discussion with specilists. The bulk of the event features a medical pitch contest featuring teams from the medical faculty at the University Hospital Bonn, where venture capital investors serve as a jury, evaluating the competing teams projects for a competing prize of €60,000. The event offers an opportunity for teams to network with investors and accelerator programs to move from the research phase into commercialization. Our work, MRIQT-Neo is a software that works on image quality transfer for MRI images, from the portable ultra-low-field MRI into high-quality, 3T- like images. The networking and feedback event provided a valuable feedback for us on how to

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.

Anne Groteklaes
Anne Groteklaes
Kinderärztin
Sebiha Demir
Sebiha Demir
Kinderärztin
Hemmen Sabir
Hemmen Sabir
Professor and Head of Experimental Neonatology
Shadi Albarqouni
Shadi Albarqouni
Professor of Computational Medical Imaging Research at University of Bonn