Georg Schramm

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I am an Assistant Professor in Molecular Image Reconstruction and Analysis at KU Leuven, Belgium, emphasizing improved diagnostic image quality through advanced modeling, cutting-edge reconstruction algorithms, and sustainable machine learning techniques.

Born in 1987 in Görlitz, Germany, I spent my childhood engrossed in football and playing saxophone and clarinet in the local music school’s big band. In 2005, I moved to Dresden to study physics at TU Dresden, later completing an Erasmus semester at the University of Sheffield in 2009. I earned my Master’s in physics in 2011, ranking among the top five graduates in TU Dresden’s School of Science.

In 2015, I obtained a PhD (Dr. rer. medic) in medical imaging with the highest distinction (summa cum laude) from TU Dresden / Helmholz-Zentrum Dresden-Rossendorf. Following seven years as a Postdoc at KU Leuven, Belgium, focusing on advanced image reconstruction techniques for molecular imaging, I spent a year as a visiting instructor at Stanford University, CA, working on sodium MR image reconstruction.

In my free time, I enjoy hiking, photography, cycling, as well as supporting the San Francisco 49ers.

news

Jun 15, 2025 Together with Matthias Ehrhardt (U Bath) and Zeljko Kereta (UCL), we have published the preprint of our latest paper: Fast PET Reconstruction with Variance Reduction and Prior-Aware Preconditioning.
Mar 10, 2025 Our paper “Joint estimation of activity, attenuation and motion in respiratory-selfgated time-of-flight PET” has been accepted for publication in Physics in Medicine & Biology - PMB link, link to arxiv.
Jan 27, 2025 Invited talk “Machine learning in PET Image Reconstruction – Opportunities, Challenges, and Common Pitfalls” at the BASP Frontiers Conference in Villar-sur-Ollon, Switzerland.
Nov 09, 2024 Our team “MaGeZ” has won the first PET Rapid Image reconstruction Challenge (PETRIC). A big thanks to my team members Matthias Ehrhardt and Zeljko Kereta.
Jun 04, 2024 Our publication “Exact parameter identification in PET pharmacokinetic modeling using the irreversible two tissue compartment model” was accepted for publication in Phys Med Biol. A big thanks to Erion Morina and Martin Holler from the University of Graz.