Dr. Georg Schramm is a leading researcher in medical imaging reconstruction techniques and a prominent figure in advancing diagnostic image quality through computational innovation. He currently serves as Assistant Professor in Molecular Image Reconstruction and Analysis at KU Leuven in Belgium, where he directs a research program focused on bridging physics, engineering, and clinical applications. Dr. Schramm earned his Master's degree in Physics from TU Dresden in 2011, distinguishing himself among the top five graduates in the School of Science, which foreshadowed his exceptional trajectory in medical physics. Following this achievement, he completed his PhD (Dr. rer. medic) in medical imaging in 2015 with the highest distinction summa cum laude from TU Dresden and the Helmholz-Zentrum Dresden-Rossendorf, establishing a strong foundation for his specialized expertise.
His research program centers on developing advanced modeling techniques, cutting-edge reconstruction algorithms, and sustainable machine learning approaches to significantly enhance medical imaging diagnostics across multiple modalities. Dr. Schramm has made substantial contributions to molecular image reconstruction, particularly in positron emission tomography and magnetic resonance imaging, with notable advancements during his visiting instructor position at Stanford University where he refined sodium MR image reconstruction techniques applicable to neurological disorders. His scholarly output includes influential publications addressing cerebral glucose changes after chemotherapy and reconstruction-free positron emission tomography methods, demonstrating both technical innovation and clinical relevance. His work on integrating physical modeling with machine learning represents a paradigm shift in how diagnostic imaging approaches balance accuracy with computational efficiency.
Beyond his technical scholarship, Dr. Schramm actively shapes the field through knowledge dissemination and professional engagement, exemplified by his featured interview with the ESMRMB Early Career Researchers Committee discussing academic publishing and open access in medical imaging research. His seven-year tenure as a Postdoctoral Researcher at KU Leuven provided the crucible for developing his independent research program that successfully bridges theoretical physics and clinical medicine. Dr. Schramm continues to advance the discipline through his dual emphasis on methodological rigor and practical implementation, ensuring his reconstruction innovations translate to tangible improvements in diagnostic accuracy. His current research direction focuses on creating environmentally sustainable machine learning techniques that maintain diagnostic precision while reducing computational resource requirements, positioning him at the forefront of next-generation medical imaging development.
