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

Feb 01, 2026 I really enjoyed giving my invited talk about “ML in Positron Emission Tomography” at the AI in the Wild West workshop in Rennes, France. Pdf version available here.
Jan 29, 2026 Our publication on object-independent scatter normalization in PET was published in Physics in Medicine and Biology. Arxiv version available here.
Nov 20, 2025 Together with Seyed Amir Zaman Pour and Charles Carron, our team was ranked as runner up in the 2025 Ultra low dose PET denoising challenge.
Oct 06, 2025 I will give an invited talk entitled “Expected Enhancement in PET Technology & Novel Methods Enabled by High Sensitivity PET Systems” at the Ultra low dose PET workshop at the IEEE MIC/NSS 2025 conference in Yokohama, Japan.
Oct 06, 2025 Max Keppens has joint our lab as a PhD student and will work on improving PET reconstruction on data from the NeuroExplorer. Welcome Max!