Georg Schramm

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

May 01, 2026	I received the CCP SyneRBI honorary award for contributions to the community on open source software as well as education and training on AI aspects
Mar 26, 2026	Our team “Speedy” has won the 2nd PET Rapid Image reconstruction Challenge (PETRIC2). A big thanks to all team members.
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.

selected publications

Evaluation of parallel level sets and Bowsher’s method as segmentation-free anatomical priors for time-of-flight PET reconstruction

Georg Schramm, Martin Holler, Ahmadreza Rezaei, and 5 more authors

IEEE transactions on medical imaging, 2017

DOI Bib HTML

@article{8,
  author = {Schramm, Georg and Holler, Martin and Rezaei, Ahmadreza and Vunckx, Kathleen and Knoll, Florian and Bredies, Kristian and Boada, Fernando and Nuyts, Johan},
  citation = {IEEE transactions on medical imaging 37 (2), 590-603, 2017},
  doi = {10.1109/tmi.2017.2767940},
  journal = {IEEE transactions on medical imaging},
  number = {2},
  pages = {590-603},
  publisher = {IEEE},
  title = {Evaluation of parallel level sets and Bowsher’s method as segmentation-free anatomical priors for time-of-flight PET reconstruction},
  volume = {37},
  year = {2017},
}

Quantitative PET in the 2020s: a roadmap

Steven R Meikle, Vesna Sossi, Emilie Roncali, and 29 more authors

Physics in Medicine & Biology, 2021

DOI Bib HTML

@article{14,
  author = {Meikle, Steven R and Sossi, Vesna and Roncali, Emilie and Cherry, Simon R and Banati, Richard and Mankoff, David and Jones, Terry and James, Michelle and Sutcliffe, Julie and Ouyang, Jinsong and Petibon, Yoann and Ma, Chao and Fakhri, Georges El and Surti, Suleman and Karp, Joel S and Badawi, Ramsey D and Yamaya, Taiga and Akamatsu, Go and Schramm, Georg and Rezaei, Ahmadreza and Nuyts, Johan and Fulton, Roger and Kyme, André and Lois, Cristina and Sari, Hasan and Price, Julie and Boellaard, Ronald and Jeraj, Robert and Bailey, Dale L and Eslick, Enid and Willowson, Kathy P and Dutta, Joyita},
  citation = {Physics in Medicine & Biology 66 (6), 06RM01, 2021},
  doi = {10.1088/1361-6560/abd4f7},
  journal = {Physics in Medicine & Biology},
  number = {6},
  pages = {06RM01},
  publisher = {IOP Publishing},
  title = {Quantitative PET in the 2020s: a roadmap},
  volume = {66},
  year = {2021},
}

Approximating anatomically-guided PET reconstruction in image space using a convolutional neural network

Georg Schramm, David Rigie, Thomas Vahle, and 5 more authors

Neuroimage, 2021

DOI Bib HTML

@article{18,
  author = {Schramm, Georg and Rigie, David and Vahle, Thomas and Rezaei, Ahmadreza and Laere, Koen Van and Shepherd, Timothy and Nuyts, Johan and Boada, Fernando},
  citation = {Neuroimage 224, 117399, 2021},
  doi = {10.1016/j.neuroimage.2020.117399},
  journal = {Neuroimage},
  pages = {117399},
  publisher = {Academic Press},
  title = {Approximating anatomically-guided PET reconstruction in image space using a convolutional neural network},
  volume = {224},
  year = {2021},
}

Time of flight in perspective: instrumental and computational aspects of time resolution in positron emission tomography

Dennis R Schaart, Georg Schramm, Johan Nuyts, and 1 more author

IEEE transactions on radiation and plasma medical sciences, 2021

DOI Bib HTML

@article{23,
  author = {Schaart, Dennis R and Schramm, Georg and Nuyts, Johan and Surti, Suleman},
  citation = {IEEE transactions on radiation and plasma medical sciences 5 (5), 598-618, 2021},
  doi = {10.1109/trpms.2021.3084539},
  journal = {IEEE transactions on radiation and plasma medical sciences},
  number = {5},
  pages = {598-618},
  publisher = {IEEE},
  title = {Time of flight in perspective: instrumental and computational aspects of time resolution in positron emission tomography},
  volume = {5},
  year = {2021},
}

Fast and memory-efficient reconstruction of sparse Poisson data in listmode with non-smooth priors with application to time-of-flight PET

Georg Schramm and Martin Holler

Physics in Medicine & Biology, 2022

DOI Bib HTML

@article{47,
  author = {Schramm, Georg and Holler, Martin},
  citation = {Physics in Medicine & Biology 67 (15), 155020, 2022},
  doi = {10.1088/1361-6560/ac71f1},
  journal = {Physics in Medicine & Biology},
  number = {15},
  pages = {155020},
  publisher = {IOP Publishing},
  title = {Fast and memory-efficient reconstruction of sparse Poisson data in listmode with non-smooth priors with application to time-of-flight PET},
  volume = {67},
  year = {2022},
}

PARALLELPROJ—an open-source framework for fast calculation of projections in tomography

Georg Schramm and Kris Thielemans

Frontiers in Nuclear Medicine, 2024

DOI Bib HTML

@article{53,
  author = {Schramm, Georg and Thielemans, Kris},
  citation = {Frontiers in Nuclear Medicine 3, 2023.1324562, 2024},
  doi = {10.3389/fnume.2023.1324562},
  journal = {Frontiers in Nuclear Medicine},
  pages = {2023.1324562},
  publisher = {Frontiers Media},
  title = {PARALLELPROJ—an open-source framework for fast calculation of projections in tomography},
  volume = {3},
  year = {2024},
}

Fast PET reconstruction with variance reduction and prior-aware preconditioning

Matthias J. Ehrhardt, Zeljko Kereta, and Georg Schramm

Frontiers in Nuclear Medicine, 2025

DOI Bib HTML

@article{59,
  author = {Ehrhardt, Matthias J. and Kereta, Zeljko and Schramm, Georg},
  title = {Fast PET reconstruction with variance reduction and prior-aware preconditioning},
  journal = {Frontiers in Nuclear Medicine},
  year = {2025},
  doi = {10.3389/fnume.2025.1641215},
}