
About
Oscar Dabrowski is a Postdoctoral Researcher at the Center for Biomedical Imaging (CIBM) MRI section, affiliated with the University of Geneva (UNIGE) and Geneva University Hospitals (HUG), where he joined the Clinical MR Imaging Section on February 1, 2024 to advance MRI image quality through computational innovation.
His academic foundation includes:
- BSc from HEPIA (EIG) in 2013
- MSc in Computer Science from University of Geneva in 2017
- PhD in Computer Science from University of Geneva in 2023
His research integrates deep learning with MRI physics to solve artifact correction challenges, specializing in k-space motion estimation and NUFFT-based reconstruction to eliminate hallucinations while preserving diagnostic integrity. This work directly enhances neuroimaging reliability through signal processing and model-driven AI approaches.
Dr. Dabrowski actively contributes to education as a teaching assistant for computer programming courses and participant in the "Advanced MRI techniques in neuroimaging" curriculum, though no research grants or student advisees are documented.
He operates within CIBM's Clinical MR Imaging Section at HUG Radiology, collaborating across UNIGE, HUG, EPFL, and CHUV to pioneer 7T MRI applications in clinical settings.
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